DEV Community: curatedmcp

Playwright MCP: Cross-browser automation that actually works in production

curatedmcp — Sun, 31 May 2026 10:38:33 +0000

Playwright MCP: Cross-browser automation that actually works in production

Browser automation is harder than it looks. You need Chromium for most sites, Firefox for edge cases, and Safari if you care about macOS users. You need screenshots for debugging, reliable waits instead of sleepy setTimeout() calls, and the ability to mock network requests without spinning up a proxy server.

Playwright MCP is the official Microsoft integration that gives Claude, Cursor, and Windsurf full control over Chromium, Firefox, and WebKit browsers. It's what you'd reach for when Puppeteer feels limiting or when you need to test against multiple rendering engines without writing boilerplate.

What It Does

Playwright MCP unlocks sophisticated browser control for AI agents. Click elements, type text, select dropdowns, drag items—all triggered by natural language prompts to Claude. Take screenshots instantly for visual debugging. Generate PDFs, intercept network requests, mock API responses, manage cookies and local storage, and emulate mobile devices.

The real power: record user interactions and replay them, wait for specific network conditions or DOM states instead of guessing delays, and handle complex workflows like OAuth flows or multi-step form interactions that require real browser context.

If you're already using Playwright for testing, this is the natural extension into AI-powered automation. If you need Firefox or Safari support that other tools skip, this is your answer.

How to Install

npx -y @playwright/mcp@latest

Then add to your claude_desktop_config.json:

{
  "mcpServers": {
    "playwright-mcp": {
      "command": "npx -y @playwright/mcp@latest"
    }
  }
}

Requires Node.js 18+. First run downloads browser binaries (~150MB).

Real-World Use Cases

Cross-browser testing without the test file: Ask Claude to visit your site on Chromium, Firefox, and WebKit, take screenshots of the same interaction on each, and flag visual regressions—all in one prompt.
E2E workflow automation: Build a multi-step flow (login → navigate → fill form → submit) by describing it to Cursor, which orchestrates Playwright to execute it while you handle the logic.
Web scraping with intelligence: Scrape dynamic sites where content loads after interaction. Let Claude navigate, wait for network idle, intercept API calls to understand data structure, then extract what you need.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Google Maps MCP: Turn Natural Language into Spatial Intelligence for AI Agents

curatedmcp — Sat, 30 May 2026 10:37:04 +0000

Google Maps MCP: Turn Natural Language into Spatial Intelligence for AI Agents

Tired of building location features from scratch? Google Maps MCP connects Claude, Cursor, and other AI agents directly to the Google Maps Platform—letting them search for places, calculate routes, geocode addresses, and reason about distance all through natural language.

Instead of parsing API responses yourself, you describe what you need ("Find Italian restaurants within 2 miles of this address") and the agent handles the API calls, interprets results, and feeds useful data back to your application. It's the difference between wiring up endpoints manually and giving your AI agent a geography sense.

What It Does

Google Maps MCP unlocks five core capabilities:

Geocoding & Reverse Geocoding — Convert addresses to coordinates and vice versa. Useful for normalizing user input or mapping database records to locations.

Place Search & Details — Find businesses, landmarks, or points of interest by name, type, or proximity. Retrieve hours of operation, ratings, phone numbers, and photos without touching the Places API directly.

Directions & Routing — Generate turn-by-turn navigation for driving, walking, transit, or cycling. The agent can reason about travel time and choose routes based on constraints (avoid tolls, prefer highways).

Distance Matrix — Calculate travel times and distances between multiple origins and destinations at once. Perfect for logistics, delivery optimization, or analyzing accessibility.

Elevation & Time Zone Data — Get elevation for coordinates and determine time zones for any location.

All of this works through your agent's natural language interface—no manual URL construction required.

How to Install

npx -y @modelcontextprotocol/server-google-maps

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "google-maps-mcp": {
      "command": "npx -y @modelcontextprotocol/server-google-maps",
      "env": {
        "GOOGLE_MAPS_API_KEY": "your-api-key-here"
      }
    }
  }
}

Get an API key from Google Cloud Console. The free tier gives you $200/month in credits—roughly 40,000 map operations.

Real-World Use Cases

Location-aware customer support — Agent retrieves store hours, directions, and contact info on demand. "What's the nearest service center?" triggers a real-time search and hands back address + hours without hardcoding anything.
Travel planning automation — Build itinerary tools where the agent calculates drive times between destinations, suggests stops based on proximity, and avoids tolls. No manual coordinate work.
Logistics & delivery optimization — Feed the agent a list of 10 delivery addresses and get back a distance matrix to optimize routes, estimate ETAs, and identify bottlenecks.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Fetch MCP Server: Give Your AI Agent Web Access in One Command

curatedmcp — Fri, 29 May 2026 10:04:31 +0000

Fetch MCP Server: Give Your AI Agent Web Access in One Command

The web is full of information, but your AI agent can't see it — not without help. The Fetch MCP Server solves that by letting Claude, Cursor, and Windsurf fetch any URL and read it as clean, AI-friendly markdown. No browser automation overhead. No complicated setup. Just point it at a URL and get readable content back.

What It Does

Fetch MCP is the essential bridge between your AI agent and the live web. Feed it any HTTP or HTTPS URL, and it returns the content as structured markdown — preserving links, code blocks, and formatting. The server automatically converts HTML to readable text, respects robots.txt, and can even handle JavaScript-heavy pages via optional Playwright integration if you need it.

This unlocks real capabilities: your AI can now read documentation pages, fetch articles from search results, pull down API specs, or retrieve content from any public web page. It's simpler and lighter than full browser automation tools for read-only tasks, which makes it perfect for the most common use case — your agent just needs to read something.

How to Install

Install via uvx (requires Python 3.10+ and the uv package manager):

uvx mcp-server-fetch

Then configure it in Claude Desktop by adding this to your claude_desktop_config.json:

{
  "mcpServers": {
    "fetch-mcp-server": {
      "command": "uvx mcp-server-fetch"
    }
  }
}

Restart Claude Desktop, and you're ready to go.

Real-World Use Cases

Documentation lookup: Ask Claude to fetch the latest docs from your framework's website, then ask questions about a specific API. No manual copying and pasting.
Research and summarization: Drop a news article or blog post URL into Cursor, have Claude summarize it or extract specific information while you're coding.
API spec review: Fetch OpenAPI specs or documentation pages directly from a service's website, then ask your AI to generate client code or explain endpoints.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Memory MCP Server: Give Claude a Brain That Remembers Across Conversations

curatedmcp — Thu, 28 May 2026 10:04:32 +0000

Memory MCP Server: Give Claude a Brain That Remembers Across Conversations

The problem: Claude starts fresh every conversation. Want your AI agent to remember that your API keys live in a specific vault, or that Alice leads the payments team, or that your prod database is on AWS us-east-1? You had to paste that context in every single time.

Memory MCP Server solves this by giving Claude a persistent knowledge graph that survives session restarts. Store entities, relationships, and observations locally—your AI agent reads and updates them just like you'd expect.

What It Does

Memory MCP Server creates a local knowledge graph that Claude can query and modify using natural language. You can store named entities (people, projects, services, concepts) with properties, define relationships between them, and attach notes and observations.

Instead of manually re-explaining your system architecture or team structure in every chat, Claude retrieves what it already knows. The server handles persistence transparently—close your session, reopen it tomorrow, and the memory is intact. Since everything stays local, your data never leaves your machine.

This unlocks continuity in agent workflows. Multi-turn projects become genuinely stateful. Cursor or Claude can maintain context about your codebase, deployment configs, team decisions, and project history without you being a copy-paste machine.

How to Install

npx -y @modelcontextprotocol/server-memory

Then add to your Claude Desktop config:

{
  "mcpServers": {
    "memory-mcp-server": {
      "command": "npx -y @modelcontextprotocol/server-memory"
    }
  }
}

Restart Claude Desktop and the server activates automatically.

Real-World Use Cases

System architecture reference: Store your deployment topology, service URLs, and infrastructure decisions once. Claude recalls them in future conversations without you having to re-explain.
Team and project context: "Note that Alice leads payments, Bob owns infrastructure." Claude remembers the org structure and makes better recommendations aligned with who owns what.
Development workflows: Store API keys, environment variables, and local config once in the knowledge graph. Claude retrieves them contextually across sessions instead of you managing secrets manually.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Slack MCP Server: Keep Your AI Agent in the Loop With Live Workspace Access

curatedmcp — Wed, 27 May 2026 10:04:31 +0000

Slack MCP Server: Keep Your AI Agent in the Loop With Live Workspace Access

Slack is where your team lives. Decisions happen in threads, context gets buried in channels, and important updates scroll past. What if your AI agent could read, search, and post to Slack just like a team member?

The Slack MCP Server does exactly that. It's a verified MCP integration that connects Claude, Cursor, or Windsurf directly to your Slack workspace—giving your agent real-time access to conversations, the ability to pull context from message history, and permission to post updates back to channels or DMs.

What It Does

This server unlocks five core capabilities:

Read conversations: Access channel history, thread replies, and full message context without leaving your IDE
Search at scale: Query across your entire workspace to find relevant discussions, decisions, or past implementations
Post and reply: Have your agent send messages to channels, reply to threads, or DM team members with summaries or alerts
List workspace metadata: Fetch channels, members, and team info to understand org structure
Handle attachments: Retrieve files and shared content from messages

Rate limiting and pagination are handled automatically, so you don't have to think about API constraints.

With 1,500+ GitHub stars and active maintenance, this is the go-to Slack integration for engineering teams who want their AI agent to actually stay in sync with what's happening in real time.

How to Install

npx -y @korotovsky/slack-mcp-server

Add it to your Claude Desktop config:

{
  "mcpServers": {
    "slack-mcp-server": {
      "command": "npx -y @korotovsky/slack-mcp-server",
      "env": {
        "SLACK_BOT_TOKEN": "xoxb-your-token-here",
        "SLACK_TEAM_ID": "T0123456789"
      }
    }
  }
}

You'll need a Slack Bot Token with scopes for channels:history, channels:read, chat:write, and users:read. Full docs here.

Real-World Use Cases

Summarize a heated thread: Ask Claude to read a 50-message thread, extract the decision, and post a tl;dr back to the channel
Find past implementations: Search your workspace for how your team solved a similar problem six months ago without alt-tabbing to Slack
Automated standup updates: Have your agent pull recent activity from #engineering and draft a daily summary your manager can review

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Puppeteer MCP Server: Automate Browser Tasks Directly from Your AI Agent

curatedmcp — Tue, 26 May 2026 10:04:30 +0000

Puppeteer MCP Server: Automate Browser Tasks Directly from Your AI Agent

What It Does

Puppeteer MCP connects your AI agent to a real browser instance, giving Claude, Cursor, or Windsurf the ability to take screenshots, scrape JavaScript-rendered content, fill forms, and interact with web UIs — all programmatically.

Most web scraping tools fail on modern websites that load content via JavaScript. Puppeteer MCP solves this by spinning up a headless Chromium browser controlled by your AI agent. You get full automation capabilities: navigate pages, click elements, extract data from dynamic content, evaluate custom JavaScript, manage cookies, and handle authentication flows.

The practical upside? Your AI agent can now complete tasks that require actual browser interaction — not just HTTP requests. That means scraping single-page apps, testing web interfaces, monitoring pages that render on load, and automating workflows that involve real user interactions.

It's free, runs locally (no external APIs), and works headlessly, so you don't need a display. Just Node.js 18+ and Chromium running in the background.

How to Install

npx -y @modelcontextprotocol/server-puppeteer

Then add it to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "puppeteer-mcp-server": {
      "command": "npx -y @modelcontextprotocol/server-puppeteer"
    }
  }
}

Restart Claude Desktop, and Puppeteer tools will be available in your next conversation.

Real-World Use Cases

Extract data from React/Vue/Angular apps: Scrape product listings, job boards, or news sites that render content client-side. Ask Claude to navigate, wait for content to load, then extract structured data — no parsing brittle JavaScript required.
Screenshot-based monitoring: Monitor competitor websites, take full-page screenshots of dashboards, or generate visual reports. Perfect for tracking design changes or building proof-of-concept automation without manual screenshots.
Form automation and testing: Test web forms by having Claude fill inputs, select dropdowns, upload files, and submit — then verify the result with screenshots. Useful for QA workflows or integration testing.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

MCP Ecosystem Week 22: The Quiet Week That Shows Market Maturity

curatedmcp — Mon, 25 May 2026 10:04:39 +0000

MCP Ecosystem Week 22: The Quiet Week That Shows Market Maturity

Week 22 brought no new server additions to CuratedMCP's catalog, marking a notable pause in the constant stream of launches we've seen over recent months. But here's what's interesting: the ecosystem didn't stall. Instead, usage patterns shifted decisively toward the heavyweight integrations—the ones that solve real problems at scale.

With 70 verified servers now live, we're entering a phase where quality and integration depth matter more than raw quantity. This week's data reflects that consolidation clearly.

This Week in MCP

No new servers launched this week. While that might seem like a slowdown, it's actually indicative of a maturing marketplace. We're seeing builders focus on deepening existing integrations rather than chasing novelty. The 69 free servers in our catalog continue to handle the vast majority of use cases, and the week's traffic patterns confirm developers are finding what they need.

The pause also gives developers breathing room—time to actually integrate these tools into production workflows rather than constantly evaluating new options. That's a healthy sign.

Trending Servers

GitHub Copilot MCP dominated this week with 98,006 views, cementing its position as the go-to for developers who want AI code intelligence directly in their MCP client. The appeal is straightforward: completions, explanations, and automated review without leaving your context.

OpenAI MCP (87,001 views) maintained strong momentum as the primary gateway to GPT-4o, DALL-E, Whisper, and embeddings. It's the bridge tool for developers already invested in OpenAI's ecosystem who want that capability accessible across multiple AI clients.

Figma MCP (82,003 views) continues to climb, now the third most-viewed server. Design-to-code workflows are increasingly central to modern development, and direct access to design files, components, and tokens from an AI agent removes a significant friction point. This one's particularly revealing—it shows MCP adoption extending beyond pure backend/API work into product design acceleration.

The top 5 is rounded out by GitHub MCP and Anthropic Claude MCP, both holding steady in the 76k view range. GitHub's integration remains essential for any agent-driven development workflow, while Claude-nesting is finding its niche with teams building complex reasoning pipelines.

Quick Take

All top 5 trending servers are free, and that pattern holds across the entire catalog: 69 out of 70 verified servers cost nothing. We're watching the emergence of a completely different monetization model than typical SaaS. The value isn't captured through server licensing—it's captured through the clients that consume these servers, and the data flows they enable.

For independent developers and small teams, this is remarkable. For potential server creators, it suggests the opportunity isn't in the tool itself, but in becoming essential infrastructure that's so widely adopted that exclusivity or premium tiers become viable later.

The consolidation around top integrations also hints at what's coming next: deeper, more specialized servers that solve vertical problems rather than horizontal integrations. Watch for domain-specific MCPs as the next growth area.

Browse all 70 verified servers at CuratedMCP.

SQLite MCP Server: Query Local Databases with Natural Language

curatedmcp — Mon, 25 May 2026 10:04:31 +0000

SQLite MCP Server: Query Local Databases with Natural Language

Stop writing boilerplate SQL. The SQLite MCP Server connects your AI agent directly to local SQLite databases, letting you ask questions in plain English and get instant results—no API keys, no cloud services, no friction.

What It Does

This MCP server gives Claude, Cursor, and Windsurf full read/write access to SQLite databases running on your machine. Your AI agent can now:

Query databases conversationally. Ask "Show me sales by region last quarter" and get back structured results.
Inspect schemas automatically. The agent explores table structures, relationships, and data types without you explaining your database.
Run aggregations and analysis. Generate summaries, spot trends, and extract business insights directly from your data.
Store persistent memos. Built-in note storage lets your agent remember findings across sessions.

Because everything runs locally, there's no latency waiting for cloud roundtrips, no credentials to rotate, and no data leaving your machine. Perfect for local development, rapid prototyping, and offline-capable workflows.

How to Install

Install via uv, the fast Python package manager:

uvx mcp-server-sqlite --db-path /path/to/database.sqlite

Then configure for Claude Desktop by adding this to claude_desktop_config.json:

{
  "mcpServers": {
    "sqlite-mcp-server": {
      "command": "uvx mcp-server-sqlite --db-path /path/to/database.sqlite"
    }
  }
}

Replace /path/to/database.sqlite with your actual database file path. Restart Claude, and you're connected.

Real-World Use Cases

Local analytics dashboard. Ask your AI agent to analyze product metrics, customer churn, or inventory levels stored in a local SQLite file without touching production databases.
Database-driven prototyping. Build and iterate on schemas while having Claude suggest optimizations, write migrations, or spot data inconsistencies.
Offline research workflows. Download datasets into SQLite, then use your agent to explore, filter, and summarize—perfect for trains, flights, or air-gapped environments.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Brave Search MCP: Give Your AI Agent Real-Time Web Access Without Google's Baggage

curatedmcp — Sun, 24 May 2026 10:04:31 +0000

Brave Search MCP: Give Your AI Agent Real-Time Web Access Without Google's Baggage

Search integrations are table stakes for AI agents. But most tie you to Google's API, tracking, or rate limits. Brave Search MCP cuts that dependency—it's a free, privacy-focused search tool that plugs your Claude or Cursor instance directly into real-time web results, news, and local business data.

What It Does

Brave Search MCP unlocks web access for your AI agents without the corporate overhead. Instead of hallucinating outdated information, Claude can now fetch live search results, parse news articles by recency, and pull location-based business data from maps. You get up to 20 results per query, rich snippets, and safe search controls—all without Brave tracking your agent's searches or injecting ads into the results.

This is useful because it solves a real problem: most AI agents are blindfolded to anything past their training cutoff. With this server, your agent becomes aware of now—current events, recent documentation changes, live product pricing, competitor news. The API is genuinely free (2,000 queries/month), so you can experiment without hitting a paywall immediately.

It works with Claude Desktop, Cursor, Windsurf, or any MCP-compatible client. The ecosystem is widely adopting it because it's the obvious alternative to relying on a single search monopoly.

How to Install

Get a free API key at api.search.brave.com, then run:

npx -y @modelcontextprotocol/server-brave-search

Add to your Claude Desktop config:

{
  "mcpServers": {
    "brave-search-mcp": {
      "command": "npx -y @modelcontextprotocol/server-brave-search",
      "env": {
        "BRAVE_SEARCH_API_KEY": "your_api_key_here"
      }
    }
  }
}

Restart Claude Desktop, and search is now available in your context.

Real-World Use Cases

Research and reporting: Ask Claude to find recent news on a topic, fetch snippets from multiple sources, and synthesize them into a briefing without hallucinating publication dates or outlets.
Documentation hunting: Cursor can search for current API docs, Stack Overflow answers, or GitHub issues related to your error, then paste relevant code examples directly into your editor.
Competitor intelligence: Trigger news search to monitor recent announcements, pricing changes, or product launches from rivals without manually scanning feeds.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Slack Connector: Give Your AI Agent Direct Access to Your Team's Slack Workspace

curatedmcp — Sat, 23 May 2026 10:04:31 +0000

Slack Connector: Give Your AI Agent Direct Access to Your Team's Slack Workspace

Slack Connector is an MCP server that bridges your AI agents directly to Slack's API, letting Claude, Cursor, or Windsurf read conversations, send messages, manage channels, and react to threads—all programmatically. Instead of copy-pasting Slack messages into your AI tool, your agent can fetch context on demand, post updates, and automate team communication workflows without leaving your development environment.

What It Does

This server unlocks full read-write access to Slack for your AI agent. You can:

Read conversation history with full threading support to give your agent context about what your team discussed
Send messages and DMs to channels or individuals, letting your agent communicate findings or alerts
Manage channels by adding/removing members programmatically
React with emoji to messages—useful for acknowledgments or workflow automation
Upload files directly to Slack from your agent's output
Respond to slash commands so Slack interactions can trigger agent workflows

The core value: your AI agent becomes a first-class member of your Slack workspace, able to participate in async team communication and pull real-time context when needed.

How to Install

Head to the CuratedMCP marketplace for the exact install command for your platform.

For Claude Desktop, add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "slack-connector": {
      "command": "npx @curatedmcp/slack-connector",
      "env": {
        "SLACK_BOT_TOKEN": "xoxb-your-token-here",
        "SLACK_APP_TOKEN": "xapp-your-token-here"
      }
    }
  }
}

Generate tokens from your Slack app settings.

Real-World Use Cases

Automated incident summaries: When you mention a bug in a channel, have your agent fetch the full thread, analyze it, and post a structured summary with next steps.
Code review notifications: Have Claude watch a Slack channel for PR links, fetch repo context, then post inline feedback or blockers directly to the thread.
Team standup automation: Schedule your agent to gather updates from specific channels, compile them into a daily digest, and post to #standup without manual effort.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

Web Scraper Pro: Turn Any Website into Structured Data Your AI Can Reason Over

curatedmcp — Fri, 22 May 2026 10:04:32 +0000

Web Scraper Pro: Turn Any Website into Structured Data Your AI Can Reason Over

Web scraping at scale is painful. Most APIs don't exist, static HTML parsers break on JavaScript-heavy sites, and anti-bot measures slow you down. Web Scraper Pro is an MCP server that handles all of it—letting your AI agents extract clean, structured data from any website without the engineering overhead.

It renders pages with Playwright, so dynamic content loads properly. It parses tables and lists automatically. It handles cookies, retries failed requests, and can grab screenshots when you need visual proof. The output? JSON your AI can actually reason over—no messy HTML strings.

What It Does

Web Scraper Pro plugs into Claude, Cursor, or Windsurf and gives your AI agent a structured web scraping capability. Instead of asking your agent to parse raw HTML (which it's bad at), you ask it to fetch and extract data from a URL. The server handles rendering, parsing, and cleanup. You get back clean tables, lists, and metadata.

This unlocks real use cases: competitive pricing monitoring, job board aggregation, content research at scale, real estate listing analysis, or any scenario where you need to feed your AI fresh, structured web data. It handles JavaScript-rendered sites (news feeds, SPAs), so you're not limited to static pages.

Rate limiting and retry logic mean you won't get blocked or timeout. Session management lets you scrape authenticated content. PDF parsing extends your reach beyond HTML.

How to Install

See the marketplace for your preferred installation method

For Claude Desktop, add this to your config:

{
  "mcpServers": {
    "web-scraper-pro": {
      "command": "npx @curatedmcp/web-scraper-pro"
    }
  }
}

After installing, ask Claude: "Scrape this URL and extract all product prices as a CSV" or "Get the table data from this page."

Real-World Use Cases

Market Research: Feed Claude competitor pricing pages daily. It scrapes, normalizes, and alerts you to undercuts—all in one workflow.
Recruitment Automation: Scrape job boards for specific roles and keywords, then have Claude summarize and filter candidates in real time.
Content Aggregation: Pull news, blog posts, or product launches from multiple sites, extract key fields (title, author, link, date), and feed directly into your AI for summarization or classification.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

PostgreSQL MCP: Let Claude query your databases in plain English

curatedmcp — Thu, 21 May 2026 10:04:31 +0000

PostgreSQL MCP: Let Claude query your databases in plain English

Tired of context-switching between your IDE and database tools? PostgreSQL MCP brings your Postgres database directly into Claude, Cursor, or Windsurf—letting you write natural language queries that get translated to SQL automatically.

What It Does

PostgreSQL MCP bridges the gap between AI agents and your Postgres databases. Instead of manually writing SQL, you describe what you need in plain English. The server translates it to SQL, executes it safely, and returns formatted results—all within your AI conversation.

The server handles schema introspection automatically, so Claude understands your table structure without you manually documenting it. Want to explore a database? Ask Claude. Need analytics queries? Describe the analysis. Building a report? Let Claude write the queries.

Key safety features matter in production: read-only mode prevents accidental mutations, connection pooling with PgBouncer support handles concurrency, and sandboxed execution keeps queries isolated. Query history and EXPLAIN plans help you optimize slow queries without leaving your chat window.

How to Install

npx @modelcontextprotocol/server-postgres

Add this to your Claude Desktop config (~/Library/Application\ Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "postgresql-mcp": {
      "command": "npx @modelcontextprotocol/server-postgres",
      "env": {
        "DATABASE_URL": "postgresql://user:password@localhost:5432/dbname"
      }
    }
  }
}

Restart Claude Desktop, and you're live.

Real-World Use Cases

Debug production data issues: "Find all failed transactions from yesterday and show me the error patterns." Claude writes the query, you get instant insights.
Generate reports inside Cursor: Chat with your codebase and database simultaneously. "Show me monthly revenue trends and help me write the SQL for our analytics dashboard."
Explore unfamiliar schemas: Onboarding to a legacy system? Let Claude navigate the database structure, show relationships, and help you understand what data actually exists.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.