"GitHub Actions" matching MCP servers:

Enables GitHub-shaped tool calls to list issues, retrieve pull requests, and summarize them, while refusing merge-via-apply operations and remaining a local proof rather than making production changes.

Summarizes GitHub discussions, issues, and pull requests by storing data locally for fast, token-efficient responses.

A lightweight server that provides detailed text analysis, counting total characters, characters without spaces, letters, numbers, and symbols for AI assistants like Claude Desktop and GitHub Copilot.

Converts raw GitHub notes into polished Polish release notes, PR descriptions, and changelogs using predefined workflows.

MCP server that minimizes LLM token usage by compressing, summarizing, filtering, chunk-referencing, and pruning large context before it reaches the model, with heuristic or local-SLM smart actions, caching, and token counting.

Enables LLM agents to collect, parse, summarize, prioritize, and extract tasks from email and attachments through deterministic MCP tools, while enforcing explicit approval boundaries for sensitive actions such as replies.

Enables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.

A lightweight tool that uses Mistral AI running locally to generate structured GitHub pull request descriptions from git diffs.

A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.

Enables users to search local markdown and text files, retrieve recent GitHub commit activity, and summarize live web pages through a chat interface with dynamic tool discovery.