pulsemcp Safe content atomic mcp-remote

GitHub

GitHub MCP Server is an official GitHub implementation that enables AI assistants to interact with GitHub repositories and resources through a standardized interface. Developed by GitHub staff with community contributions, it provides tools for managing issues, pull requests, repositories, code scanning alerts, and file contents. The server supports both read-only and read-write operations, can be run via stdio or Docker, and includes comprehensive authentication and error handling. It's particularly valuable for AI assistants that need to perform GitHub operations like searching repositories, creating issues, or analyzing code.

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/deniscruzrodrigues/mackenzie-github-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve GitHub 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"