A suite of MCP tools for AIs to analyze and modify C# solutions with high signal, Roslyn powered context.

MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup

A single model's confident answer can still be wrong, so brainstorm-mcp runs multi-round debates between GPT, Gemini, DeepSeek, Claude, and local Ollama models and returns a structured synthesis, as an MCP server that needs no API keys in hosted mode.

Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration. Free, self-hostable, MCP-native.

Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.

Give your AI Agent a whole IDE, not just the files

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

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

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

Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

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

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.

Simplified Gemini for Claude Code.

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

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

Persistent Intelligence Infrastructure for AI Agents

🔥 Lightweight, Airbrake/Sentry-compatible, PostgreSQL-based Open Source Error Catcher

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

Cross-language-safe code-intelligence MCP for AI agents -- 13 languages, family-gated call graph (CodeGraph 745 vs TSA 6 cross-language mis-wires, v1.21.0 same-session -- ~124x by count, ~390x by rate; re-verifying vs current develop). Run miswire-audit on your repo. 8 facade tools, TOON output, 100% local. Python.

Eclipse IDE as an MCP Server for AI Agents

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

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.