# GitHub Agentic Chat

> Use this tool when you need to interact with GitHub repositories through natural language conversations, enabling effortless searching, issue creation, and semantic searches across documents. It solves problems such as streamlining developer workflows and providing conversational access to GitHub data, accepting natural language inputs and returning relevant repository information as output. Ideal for use cases where developers want to manage GitHub tasks and documentation within a chat interface, without switching between applications.

Canonical page: https://skillsregistry.net/skills/akhidastech-github-agentic-chat  
JSON: https://api.skillsregistry.net/v1/skills/akhidastech-github-agentic-chat

## Description

GitHub Agentic Chat MCP Server enables natural language interaction with GitHub repositories through a Go-based implementation that integrates with the GitHub API and provides vector search capabilities. It offers tools for searching repositories, creating issues, and performing semantic searches across stored documents using PostgreSQL with pgvector extension. The server connects to Claude Desktop through the Model Context Protocol, making it particularly valuable for developers who want to interact with GitHub and related documentation through conversational AI without leaving their chat interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/akhidastech-github-agentic-chat)
- **Repository:** <https://github.com/akhidastech/github-agentic-chat-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "akhidastech-github-agentic-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akhidastech-github-agentic-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akhidastech-github-agentic-chat/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt