pulsemcp Safe content atomic mcp-remote

GitHub Chat

GitHub Chat MCP server enables AI assistants to analyze and query GitHub repositories through a simple interface. Developed by AsyncFuncAI, it provides tools for indexing repositories and asking detailed questions about codebases, leveraging the GitHub Chat API to retrieve contextual information and source references. The implementation is built with Python using the FastMCP framework, supports both direct installation and containerized deployment, and is particularly valuable for developers seeking to understand unfamiliar repositories, analyze code architecture, or explore technical implementations without manually navigating through files.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: version-control
Source: PulseMCP
Repository: github.com/asyncfuncai/github-chat-mcp
Author type: human
Updated: 2026-05-27

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MCP

Resolve GitHub Chat from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"