Saidsef Mcp Github Pr Issue Analyser

Name: Saidsef Mcp Github Pr Issue Analyser
Author: ai.smithery

by ai.smitherycommunityv1.15.0

This MCP application serves as a bridge between LLMs and GitHub's repository management features, offering automated analysis of pull requests and comprehensive issue management.

From the registry: A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…

GitHub Repository

Install & configure

Prerequisites

required
uv / uvx
Required to run via uvx from GitHub source.
```
$ curl -LsSf https://astral.sh/uv/install.sh | sh
```
https://docs.astral.sh/uv/
required
GitHub Personal Access Token
GitHub PAT with repo scope.
https://github.com/settings/tokens

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `saidsef-mcp-github-pr-issue-analyser` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **uv / uvx** — Required to run via uvx from GitHub source. Run: `curl -LsSf https://astral.sh/uv/install.sh | sh` (https://docs.astral.sh/uv/)
- **GitHub Personal Access Token** — GitHub PAT with repo scope. (https://github.com/settings/tokens)

Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["https://github.com/saidsef/mcp-github-pr-issue-analyser.git"]
- required environment variables:
  - `GITHUB_TOKEN`: GitHub Personal Access Token with repo scope. (example: `<your-github-pat>`)

Note: GitHub PR, issues, tags, releases MCP. Runs from GitHub source via uvx. Also supports HTTP mode (MCP_ENABLE_REMOTE=true) and Docker. Python 3.12+ required.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: GitHub PR, issues, tags, releases MCP. Runs from GitHub source via uvx. Also supports HTTP mode (MCP_ENABLE_REMOTE=true) and Docker. Python 3.12+ required.