#request

Claude MCP Server for Github with Linear integration

Claude MCP Server for Github with Linear integration

Mirror of

Mirror of

MCP server that fetches GitHub Pull Request comments

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.

Mirror of

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.

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

MCP Server for Github CLI

Mirror of

A Model Context Protocol (MCP) server for Request Tracker

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

Simple tool designed for making HTTP requests via IA.

A Server Proxy MCP Request To HTTP.

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

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

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.

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

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

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 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

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.