"Network Requests" matching MCP servers:

Enables AI assistants to review GitHub and GitLab pull requests and merge requests, supporting multiple transports and custom review rules.

Enables analysis of GitHub Pull Requests, including details, diff, file lists, and review tracking.

Enables LLMs to review Bitbucket pull requests with custom checklists and API token authentication.

Connects AI assistants to GitLab, allowing users to manage merge requests, view reviews, and interact with discussions through natural language queries.

Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.

Enables AI assistants to read Bitbucket Cloud pull requests and diffs through natural conversation.

An MCP server that indexes local code repositories, extracting symbols and call graphs to give Claude precise, structural answers with real file paths and line numbers. Runs entirely locally with no network requests, for privacy-focused code understanding.

Provides ChatGPT read-only access to inspect repositories, code, merge requests, pipelines, and CI logs on self-managed GitLab instances, including those reachable only from a private network or VPN.

Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.

Task-adaptive repository context for coding agents, enabling budgeted evidence retrieval without API keys or network calls.

An MCP server that intelligently splits large pull requests into multiple smaller ones for improved code review and KPI tracking, integrating seamlessly with coding-flow.

A proxy server that forwards MCP requests to a JetBrains IDE server, with support for path conversion between WSL, Git Bash, and Windows.

Local repository intelligence MCP server that builds a reusable graph of code structure for AI coding agents, providing 34 network-free tools for understanding, searching, and analyzing repositories without data leaving the machine.

Enables self-hosted, read-only remote interaction with GitHub repositories, allowing listing repositories, searching code, and inspecting commits, pull requests, issues, and diffs via authenticated MCP clients.

Enables AI assistants to scan source code for secrets like API keys and passwords locally without network requests.

Enables dynamic reverse engineering and debugging of WeChat MiniProgram JavaScript through the Chrome DevTools Protocol, letting AI agents enumerate and search scripts, set breakpoints, step through paused frames, trace function calls, hook miniprogram APIs such as wx.request, and capture network requests to analyze encryption, signing, and anti-scraping logic. It also works against Chrome, Node.js, and Electron runtimes, with tools for extracting code bundles and page business logic.

Secure multi-source MCP server for reading local, GitHub, GitLab, Bitbucket, and network source code with read-only-by-default access, enabling AI assistants to inspect repositories safely.

Enables interaction with Bitbucket repositories through the Model Context Protocol, supporting code search, repository management, branch creation, pull requests, and more.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

A local MCP server that gives AI coding agents symbol definitions, dependency graphs, and a live architecture vocabulary for TypeScript/JavaScript repos, with no network or embeddings.