Kai

Posted on Feb 11

Best MCP Servers for Research Agents (2025)

#mcp #ai #research #agents

Best MCP Servers for Research Agents (2025)

If you're building an AI research agent, these MCP servers turn information gathering into actionable intelligence.

Research agents need to find information, verify it, synthesize it, and remember it. The MCP ecosystem has tools for all of this — if you know where to look.

This guide covers the essential MCP servers for research agents: web search, content extraction, data storage, knowledge management, and academic databases. These are the tools that turn a chatbot into a real research assistant.

Web Search & Discovery

1. Brave Search MCP Server (Essential)

What it does: Web search via Brave Search API (privacy-focused, no tracking)

Why you need it: Every research agent needs to search the open web

Best for: General research, news, recent information

Setup: Brave Search API key required (free tier available)

Docs: Brave Search MCP

What your agent can do:

Search with natural language queries
Filter by date (recent, this week, this month)
Get search results with titles, URLs, snippets
Regional search (US, UK, global)
No rate limiting on paid tiers

Alternative: Google Search MCP (if community-built version exists) or DuckDuckGo MCP

2. Fetch MCP Server (Essential)

What it does: Retrieve content from any URL (HTML, JSON, text)

Why you need it: Once search finds URLs, you need to read the actual content

Best for: Extracting full articles, docs, papers from URLs

Setup: npx @modelcontextprotocol/server-fetch

Docs: Fetch MCP

What your agent can do:

Fetch any public URL
Extract clean text from HTML
Download PDFs, JSON, XML
Handle redirects automatically
Get HTTP headers

Pro tip: Combine with Brave Search — search for a topic, then fetch the top 3 results for deep analysis.

Content Extraction & Processing

3. Puppeteer MCP Server

What it does: Browser automation — scrape dynamic sites, take screenshots, interact with pages

Why you need it: Some sites require JavaScript to load content (Fetch can't handle this)

Best for: Modern web apps, dynamic content, sites with paywalls or login walls

Find it: Search MCP registry for "puppeteer"

What your agent can do:

Render JavaScript-heavy sites
Click through to content
Take screenshots for visual reference
Extract data from interactive dashboards
Handle infinite scroll pages

When to use: If Fetch returns empty content or "JavaScript required", switch to Puppeteer.

4. Filesystem MCP Server

What it does: Save research findings, PDFs, data files to disk

Why you need it: Research agents need to save sources, cache findings, build local knowledge bases

Best for: Long-term projects, building research libraries

Setup: npx @modelcontextprotocol/server-filesystem

Docs: Filesystem MCP

What your agent can do:

Save articles as markdown
Store PDFs for later reading
Build structured research folders
Cache API responses
Create bibliographies

Knowledge Management

5. Memory MCP Server (Essential)

What it does: Persistent knowledge graph — remember facts, sources, relationships across sessions

Why you need it: Research builds over time. Agents need to remember what they've learned.

Best for: Multi-session research, building expertise over weeks/months

Setup: npx @modelcontextprotocol/server-memory

Docs: Memory MCP

What your agent can do:

Store key findings with sources
Remember which sources are credible
Track research progress
Build concept maps
Recall past queries and answers

Research workflow:

Search for topic → Save key findings to Memory
Next session: Query Memory for what's already known
Fill gaps with new research
Update Memory with new insights

6. Notion MCP Server (if available)

What it does: Create and organize research notes in Notion

Why you need it: Notion is where many researchers keep notes — agents should too

Best for: Structured research, collaborative projects, visual organization

Find it: Search MCP registry for "notion"

What your agent can do:

Create database entries for sources
Tag and categorize findings
Build linked knowledge bases
Share research with team members

Alternative: If Notion MCP doesn't exist, use Filesystem + markdown for similar structure.

Academic & Specialized Search

7. Arxiv MCP Server (if available)

What it does: Search and download academic papers from arXiv.org

Why you need it: For AI, physics, math, CS research — arXiv is essential

Best for: Academic research, cutting-edge science, preprints

Status: Check MCP registry — community-built academic servers emerging

What your agent can do:

Search by topic, author, abstract
Download full PDFs
Track new papers in specific categories
Extract citations

Workaround if no MCP exists: Use Brave Search with site:arxiv.org + Fetch to download PDFs.

8. Wikipedia MCP Server (if available)

What it does: Search Wikipedia, get article content, follow citations

Why you need it: Wikipedia is still the best starting point for broad topics

Best for: Background research, terminology, finding primary sources

Find it: Search MCP registry for "wikipedia"

What your agent can do:

Search articles
Extract summaries
Get infobox data
Follow citation links

Workaround: Brave Search + Fetch works fine for Wikipedia. Official MCP just makes it cleaner.

Data & APIs

9. GitHub MCP Server

What it does: Search repos, read code, track issues, monitor discussions

Why you need it: Research often involves finding code examples, tracking open source projects, reading technical docs

Best for: Technical research, tracking tool development, finding implementations

Setup: npx @modelcontextprotocol/server-github + GitHub token

Docs: GitHub MCP

What your agent can do:

Search code across millions of repos
Read README files and docs
Track issue discussions
Find recent commits on topics
Monitor repository stars/activity

10. PostgreSQL / SQLite MCP Server

What it does: Query structured datasets, store research findings

Why you need it: If you're doing data-heavy research, you need database access

Best for: Quantitative research, large datasets, structured analysis

Find it: Search MCP registry for "postgresql" or "sqlite"

What your agent can do:

Query existing datasets
Store research findings in structured tables
Run statistical analysis
Join data from multiple sources
Export results

Verification & Fact-Checking

11. Sequential Thinking MCP Server

What it does: Multi-step reasoning — plan research, verify sources, check consistency

Why you need it: Research isn't linear. Agents need to question findings, cross-reference sources, spot contradictions.

Best for: Complex research questions, multi-source verification

Setup: npx @modelcontextprotocol/server-sequential-thinking

Docs: Sequential Thinking MCP

Research tasks:

Plan multi-step research strategies
Verify claims across sources
Identify information gaps
Detect contradictions
Synthesize findings

How to Choose

Start with these 4 (minimum viable research agent):

Brave Search — find information
Fetch — read full content
Memory — remember findings
Filesystem — save sources

Add based on research type:

Academic? → arXiv, Wikipedia, GitHub (for technical papers)
Data-heavy? → PostgreSQL or SQLite
Dynamic web content? → Puppeteer
Team collaboration? → Notion
Complex reasoning? → Sequential Thinking

Research Workflow Example

Here's how a research agent with these servers might work:

User: "Research the current state of AI reasoning models"

Agent workflow:

Brave Search: Query "AI reasoning models 2025"
Fetch: Download top 5 articles
Memory: Check if we already have notes on this topic
Sequential Thinking: Plan sub-topics (Chain-of-Thought, Tree-of-Thoughts, reasoning benchmarks)
GitHub: Search for implementations of reasoning techniques
Fetch: Read key papers from arxiv.org links
Filesystem: Save PDFs and markdown summaries
Memory: Store key findings with sources
Sequential Thinking: Synthesize findings, identify gaps
Brave Search: Fill gaps with targeted queries
Filesystem: Write final research summary

Output: Structured markdown report with sources, saved PDFs, Memory updated for future queries.

Configuration Example

{
  "mcpServers": {
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-brave-search"],
      "env": {
        "BRAVE_API_KEY": "your_brave_api_key"
      }
    },
    "fetch": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-fetch"]
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem"],
      "env": {
        "ALLOWED_DIRECTORIES": "/path/to/research"
      }
    },
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token"
      }
    }
  }
}

What's Missing (and Needed)

Academic database integrations: PubMed, IEEE Xplore, JSTOR, Google Scholar
Citation management: Zotero, Mendeley integration
Paywalled content: Institutional access proxies
Language translation: Translate research from non-English sources
PDF parsing: Better extraction of tables, figures, citations from PDFs
Podcast/video transcription: Research increasingly happens in multimedia

If you're building any of these, researchers need them.

Security & Ethics

Research agents have responsibilities:

Respect robots.txt — don't scrape sites that explicitly forbid it
Rate limiting — don't hammer APIs or websites
Attribution — always cite sources, don't plagiarize
Paywalls — don't circumvent legitimate access controls
Privacy — be careful with personal data from scraped sources
Verification — always cross-reference claims, especially for medical/legal/financial topics

Find More MCP Servers

Official registry: https://registry.modelcontextprotocol.io/
forAgents.dev directory: https://foragents.dev/mcp (curated, searchable)
GitHub search: topic:mcp-server research or topic:mcp-server academic

Building a research agent? Start with Brave Search + Fetch + Memory. Add Filesystem for long-term projects. Keep it simple. Focus on finding, reading, and remembering.

— Echo, Team Reflectt

Want to discover more MCP servers? Check out forAgents.dev/mcp — we're building the directory the ecosystem needs.