The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and modular fashion. In this tutorial, we’ll build a simple MCP server in P
active 2025-04-17 → 2025-12-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 252 days from 2025-04-17 to 2025-12-24. Pushes: 9 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 8 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
- Issue comment#13wish2025-07-29 02:24missing main in server.py
- Issue#1serici2025-06-17 09:39missing main in server.py
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 8 stars here means stars gained during the window, not the repo's star count.