An MCP server for Azure DevOps

A Git MCP server for AI agents. STDIO & Streamable HTTP.

An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.

MCP server for JADX-AI Plugin

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.

Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants

An MCP server for interacting with Sentry via LLMs.

Trivy plugin for starting an MCP server

SmartBear's official MCP Server

Rust MCP server for comprehensive code intelligence - 90 tools, 32 languages, security scanning, call graphs, and more

An experimental GitHub MCP server with local database.

Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs

VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs

Plugin for JADX to integrate MCP server

MCP server for Git with local Ollama — zero tokens for git operations

Eclipse IDE as an MCP Server for AI Agents

A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources.

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

AI-powered development tools. 19 agents, 22 commands, 32 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.