Best Claude Code MCP Servers for Embedding

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.

Deep code indexing MCP server with SQLite FTS5, tree-sitter, and embeddings. 29 tools for symbol search, call graphs, git intelligence, and hybrid semantic search.

Convert source code repositories into searchable knowledge bases with AI-powered search using GPT-5, intelligent chunking, and OpenAI embeddings for semantic code understanding.

Cross-service API dependency graph for microservice codebases. Give it a business term or endpoint name; get back a ranked chain of GraphQL operations, REST endpoints, Kafka topics, and frontend queries across all services. Offline, local SQLite + TF-IDF + optional embeddings.

Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesyste…

Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier.

Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.

🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.