Google Cloud just dropped a bombshell: Official MCP support for BigQuery, Google Maps, and GKE. This effectively standardizes how agents talk to enterprise data.
But as we move from "one agent" to "agentic fleets," we face a new problem: Orchestration and Discovery. If you have 50 different MCP servers running across your stack, how do your agents find them? How do you manage them?
The Solution: The MCP Messenger Stack
We've been building a suite of open-source tools to turn these individual connections into a unified Control Plane for Cognition.
- MCP Registry (The Discovery Layer) The MCP Registry acts as the central directory. It allows developers to register, discover, and manage MCP server endpoints in one place.
The Problem: Hardcoding MCP endpoints into every agent is brittle.
The Fix: A central "phonebook" for your AI's capabilities.
Playwright-MCP (The Action Layer)
While Google provides the data, agents still need to interact with the web. playwright-mcp allows agents to navigate the web using accessibility trees. This provides a structured, low-token way for agents to perform browser automation without needing expensive vision-processing overhead.LangchainMCP (The Bridge)
For those building in the LangChain ecosystem, we’ve created LangchainMCP. This library makes it trivial to pull an MCP tool definition directly into a LangChain agent’s toolset.
JavaScript
// Quick Example
import { LangchainMCP } from "@mcpmessenger/langchain-mcp";
const mcpTool = new LangchainMCP({
serverUrl: "https://your-mcp-registry.com/api/v1/tools/google-bigquery",
});
// Now your agent has BigQuery access via the standard MCP protocol
Why This Matters
By combining Google’s managed infrastructure with an open-source registry and automation tools, we are moving away from "custom integrations" and toward a pluggable AI architecture.
Join the Project
We are looking for contributors and feedback on the Registry and the MCP connectors. Check out the repos below:
📂 MCP Registry GitHub
🌐 Playwright MCP
🦜 LangChain MCP Bridge
What do you think? Is MCP the final standard for agentic tool-use, or just the beginning? Let’s discuss in the comments.
ai #javascript #googlecloud #mcp #opensource #webdev
(https://mcp-registry-sentilabs.vercel.app/)
(https://github.com/mcpmessenger/mcp-registry)
(https://github.com/mcpmessenger/playwright-mcp)
(https://github.com/mcpmessenger/LangchainMCP)
Top comments (1)
We built an API that lets AI systems check if humans actually care before acting.
It’s a simple intent-verification gate for AI agents.
Early access, prepaid usage.