MCP Tool Connector
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Tool Connectorsearch documents for the latest sales report"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Tool Connector
An MCP server that gives an LLM host (e.g. Claude) two tools: it can search the firm's documents and look up a company via an authenticated API — the "connect frontier models to our files and data, with auth" use case.
Demo
Register the server with Claude Desktop, then ask Claude something that triggers
search_documents, and something that triggers lookup_company. (Add a Loom here.)
Related MCP server: GraphRAG MCP
What it does
Exposes two tools over the Model Context Protocol:
search_documents(query, k)— makes a document folder query-able (no auth).lookup_company(name)— calls an authenticated external API (bearer token), making the API + authentication path explicit.
Authentication (done on purpose)
lookup_company reads DATA_API_TOKEN from the environment (never hardcoded) and
returns a clear "authentication required" message when it is absent rather than
failing silently. Use a scoped, read-only token; full OAuth is the production step.
Run it
pip install -r requirements.txt
pytest -q # tools work + both register with the MCP server
python server.py # run as an MCP (stdio) serverThen add it to Claude Desktop using claude_desktop_config.example.json (use an
absolute path to server.py). Confirm the exact MCP SDK usage against the current
docs at modelcontextprotocol.io.
Built with
Python · MCP Python SDK (FastMCP) · httpx
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