"Serena" matching MCP servers:

A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases at the symbol level rather than working with entire files.

Provides IDE-like semantic code retrieval and editing tools for LLMs, enabling precise code understanding and manipulation in large codebases via the Model Context Protocol.

Enables AI IDEs and coding agents to navigate code at the AST symbol level, perform surgical, collision-free refactoring, and resolve live library documentation. It also supports project onboarding memory, giving agents semantic precision without regex guesswork or heavy dependencies.

Provides a single code_intel MCP tool that autonomously manages zvec-grep, CodeGraph, and Serena LSP backends to enable semantic search, architecture analysis, impact assessment, symbol references, implementations, and diagnostics for local codebases.

A project-aware AI design and code review server that uses dual reviewers via OpenRouter to catch context-blind errors in AI-generated code, optionally integrating with Serena for long-term project memory.