MCP server for reading docs from GitHub
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Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-prism-shadow-context9","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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 # Context9 - Bring Live Doc into Your Agent Context <div align="center"> <p><b>Up-to-date</b> · <b>Local-first</b> · <b>Low-hallucination</b></p> </div> <div align="center"> **[X](https://x.com/prismshadow_ai)** · **[Discord](https://discord.gg/4TQ2bsSb)** · **[Issues](https://github.com/Prism-Shadow/context9/issues)** </div> <div align="center"> [](LICENSE)  </div> <div align="center"> [](./docs/README.zh-CN.md) [](./docs/README.zh-HK.md) [](./docs/README.ja.md) [](./docs/README.ko.md) </div> --- https://github.com/user-attachments/assets/553ab8a2-5227-42fa-a8bd-692cd13c0b96 ## Why Context9? - 🎯 Up-to-date knowledge: Real-time knowledge synchronization and reduce AI agent hallucinations. - 🔐 Local-first: Fully open sourced and deploy on your own server, safely access your private knowledge. - ⚙️ Easy-to-use Web UI: Easily manage your repositories and API-key permissions through the Context9 Panel. ## What Context9 Actually Does **Context9 (Context Mine)** is an MCP (Model Context Protocol) server. With local deployment, Context9 securely feeds agents with the most up-to-date documentation, reducing LLM hallucinations. <div style="text-align: center;"> <img src="public/overview.png" alt="overview" style="width: 80%; height: auto;"> </div> ## Install Context9 ### Run Context9 server ```shell docker run -d \ --name context9 \ -p 8011:8011 \ --restart unless-stopped \ ghcr.io/prism-shadow/context9:latest \ python -m context9.server --github_sync_interval 600 ``` Or you can specify the port on which Context9 runs. ```shell doc…
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