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Living documentation MCP server for GitHub repos. Gives coding agents repo-specific conventions, doc gaps, and citation-backed context before edits, and lets them propose doc updates that ship in the same PR. Connect at https://moxiedocs.com/api/mcp (Streamable HTTP). Auth via OAuth or dashboard token.

AI agents propose database schema and data changes as reviewable requests before anything is applied — no direct write access. Works with Claude Code, Cursor, and any MCP client.

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests What makes OpenHelm the best solution for this: • AI monitors implementation progress and verifies work against the intended outcome • Can investigate code, documentation, issues, and related systems using a real browser • Multi-step workflows support planning, coding, testing, validation, and iteration • Operates within a secure remote environment designed for autonomous development work For software teams looking to accelerate execution, OpenHelm provides an environment where development tasks can be completed from start to finish with minimal supervision.

MCP server for semantic git queries. Walks the local `git` CLI plus optional GitHub API. Local-first; GH token only needed for PR/issue linkage. ## Why `git` answers these poorly: - "Who last touched this function?" — `git blame` only gives lines - "What PR introduced this line?" — manual blame → SHA → search GH - "Which files always change together?" — no built-in - "Show unmerged branches older than 30 days" — bash gymnastics - "What did I work on last week?" — manual log scrub LLM agents need this context to make safe edits. ## Tools | Tool | Purpose | |------|---------| | `who_touched` | Group blame by author. Lines, commits, last-touched, primary owner. | | `introducing_pr` | Find PR that introduced a line or commit. Merge-msg parse + GH API fallback. | | `co_change` | Files most often changed together with the input file. | | `branch_hygiene` | Branches w/ ahead/behind, last commit, merged status, stale flag. | | `recent_work` | Standup helper: author's commits + files + ins/del in a window. | | `commit_context` | Full commit context: subject, body, files, PR, related issues. | ## Install ```bash npm install -g git-insight-mcp claude mcp add --scope user git-insight -- git-insight-mcp

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira and more. Built by the team behind GitLens, the Git tool that 48 million developers chose, from first-time contributors to enterprise teams at Netflix and Adobe.

Connect your AI assistant to Featuriq — the product feedback and roadmap tool for SaaS teams. Browse top feature requests, search feedback with natural language, update statuses, notify users when features ship, and manage your roadmap — all from your AI client. Authenticates via OAuth. No manual API key setup needed.

core pull requests for deployment risk using 36 signals: change entropy, DDL migration detection, CODEOWNERS violations, coverage gaps, and more. Get a 0-100 risk score before you merge. Free tier available at koalr.com

MCP server for VoteShip - manage feature requests, votes, roadmaps, and changelogs from any MCP client. 22 tools, 5 resources, 4 workflow prompts. Triage feedback, detect duplicates, plan sprints, and generate changelogs with AI

MCP server with 58 tools for Bitbucket API operations. Manage repositories, pull requests, pipelines, branches, commits, deployments, webhooks, tags, branch restrictions, and source browsing. Works with Claude Desktop, Claude Code, and any MCP-compatible client.

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

Complete GitLab MCP integration with 72 specialized tools for comprehensive DevOps management

Token-based GitHub automation management. No Docker for optimal performance, Flexible configuration for fine-grained control, 80+ tools with direct API integration. A comprehensive Model Context Protocol (MCP) server that enables your MCP client (Claude Desktop, Roo Code, Cline, Cursor, Windsurf, etc.) to interact with GitHub repositories using your GitHub personal access token. This tool simplifies managing GitHub repositories using only a GitHub token for setup. By skipping Docker, it avoids unnecessary complexity, delivering fast and effective results through direct API integration. This server is built using Node.js and provides a complete toolkit for repository management, issue tracking, collaboration management, and more, all while leveraging the GitHub API for optimal performance.

MCP (Model Context Protocol) server for Bitbucket Server Pull Request management

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

A Server Proxy MCP Request To HTTP.

http-request-mcp` is a simple tool designed for making HTTP requests. It uses the MCP (Model Context Protocol) server to handle requests and supports various HTTP methods.

Simple tool designed for making HTTP requests via IA.

A general-purpose HTTP request service for interacting with multiple APIs

A Model Context Protocol (MCP) server for Request Tracker

MCP Server for Github CLI

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Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.

A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.

MCP server that fetches GitHub Pull Request comments

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Claude MCP Server for Github with Linear integration

Claude MCP Server for Github with Linear integration

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