mcp-server-template
Opinionated template for building read-only MCP servers with I/O timeouts, offline tests, compact text outputs, and least-privilege security guidance.
README
mcp-server-template
Opinionated template for building read-only MCP servers that coding agents can actually use well: I/O seams with timeouts, offline tests, compact text outputs, least-privilege docs.
Start here → BUILDING.md — the full workflow from idea to published server (~half a day).
What's inside: a working example server (pypi_project fixed-origin HTTP tool behind a stubbed seam + word_stats pure tool), offline test suite, CI workflow, CLAUDE.md conventions, and a README skeleton below.
The network example deliberately does not accept arbitrary URLs. "Read-only" does not make a URL fetcher safe: unrestricted destinations and followed redirects can expose loopback, private-network, or cloud-metadata services. pypi_project constructs only https://pypi.org/... requests, rejects URL/path-shaped input, never follows redirects, caps the decoded response at 2 MiB, and applies a 15-second whole-operation deadline.
README skeleton for your server (replace this whole file)
# mcp-<name>+ one-line value prop in bold- 4-line usage transcript (You: … / Agent: → tool calls / Agent: answer)
- Tools table (tool → what it returns)
- Install:
claude mcp add <name> -e TOKEN=... -- python -m mcp_<name>+.mcp.jsonblock - Token scope / security (least privilege, read-only statement)
- Design notes (why read-only, why compact text, why timeouts)
- License + contact line
Use the structure above directly; replace every template name and example before publishing a derived server.
Security and privacy
- The example sends only the supplied package name to PyPI. Do not put secrets or private identifiers in tool arguments.
- PyPI project summaries are uploader-controlled prose, so the example deliberately omits them from agent-visible output. Treat all external text as untrusted data.
- Never log credentials, authorization headers, raw private responses, or user prompts.
- Document which external service receives each argument. Private CI logs and internal URLs are sensitive even when a tool only reads them.
- Keep arbitrary URL fetching out of derived servers unless you implement a destination allowlist and a transport that cannot be bypassed by redirects or DNS rebinding.
Development
python -m pip install -e ".[dev]"
ruff check . && ruff format --check .
pytest
python -m build
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.