Anirbanbasu Pymcp
Bootstrap a custom Python MCP server using the FastMCP template instead of copying scattered boilerplate from docs.
Overview
ai.smithery/anirbanbasu-pymcp is a Build-phase MCP server template that helps you create Python FastMCP servers and test Smithery remote wiring.
What is this MCP server?
- Template repository for MCP servers built with FastMCP in Python
- Smithery-hosted streamable-http remote for trying the reference server (v0.1.7)
- Requires Bearer smithery_api_key on the hosted demo remote
- GitHub source at anirbanbasu/pymcp for fork-and-customize workflows
- Accelerates tool definition, packaging, and Smithery-style remote patterns
- Template package version 0.1.7 on Smithery
- Repository: github.com/anirbanbasu/pymcp
- Remote transport: streamable-http with required Bearer auth
Community signal: 8 GitHub stars.
What problem does it solve?
Building a new MCP server from scratch means guessing project layout, FastMCP patterns, and Smithery headers without a minimal working reference.
Who is it for?
Indie developers authoring their first or second Python MCP server who want FastMCP and Smithery conventions in one repo.
Skip if: Non-developers who only need prebuilt data or SaaS connectors without maintaining server code.
What do I get? / Deliverables
You get a forkable FastMCP Python template plus a live Smithery remote pattern so your custom tools reach your agent faster.
- Forked repo with your custom FastMCP tools and resources
- Local and/or Smithery-deployable MCP endpoint for your agent
- Documented auth and streamable-http setup matching the template
Recommended MCP Servers
Journey fit
Authoring your own MCP server is agent-tooling work that happens while you extend what Claude Code or Cursor can do. Agent-tooling covers MCP server repos, local tools, and protocol wiring—not production monitoring or launch distribution.
How it compares
MCP authoring template and demo remote, not a finished vertical integration like FX or procurement servers.
Common Questions / FAQ
Who is ai.smithery/anirbanbasu-pymcp for?
Python-savvy solo builders and integrators creating custom MCP servers with FastMCP who want a Smithery-aligned starting point.
When should I use ai.smithery/anirbanbasu-pymcp?
Use it during build-phase agent-tooling when you need to implement and host your own tools rather than only install third-party MCPs.
How do I add ai.smithery/anirbanbasu-pymcp to my agent?
For the template remote, add https://server.smithery.ai/@anirbanbasu/pymcp/mcp with required Bearer smithery_api_key; for production, fork the GitHub repo, customize tools, and point your client at your deployed server.