pulsemcp Safe content atomic mcp-remote

GitHub Repo Extractor

This GitHub MCP server, developed by kazuph, connects GitHub code repositories to Claude.ai using the Pera1 service. It extracts code and context from GitHub repos to provide better information to Claude when discussing codebases. The implementation uses TypeScript and leverages the @modelcontextprotocol/sdk for MCP compatibility. It's designed for developers and teams who want to seamlessly integrate GitHub discussions into their AI workflows, enabling natural language queries about code structure, dependencies, and development history directly through Claude's interface.

Cognium trust score

65%

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/kazuph/mcp-github-pera1
Author type: human
Updated: 2026-05-05

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MCP

Resolve GitHub Repo Extractor 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"