-
Chroma MCP Server - Vector Database Integration for LLM Applications
Version check not run yet
Search and retrieval (RAG) PyPI Local APACHE-2.0
-
Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.
Version check not run yet
Memory and context PyPI Local APACHE-2.0
SM
shutup-mcp io.github.hjs-spec/shutup-mcp 1.8 · 35/100 Experimental MCP proxy for filtering large tool lists using hybrid semantic and keyword retrieval
Version check not run yet
Search and retrieval (RAG) PyPI Local MIT
-
Portable cognitive engine for AI agents — storage, embeddings, memory, FSRS, and MCP server
Version check not run yet
Search and retrieval (RAG) npm Local 57 a week MIT
-
MCP Server for Qdrant Vector Database - Search, manage collections, and points
Version check not run yet
Search and retrieval (RAG) npm Local MIT
-
MCP server for fetching and searching documentation with semantic search
Version check not run yet
Docs and knowledge bases npm Local MIT
R2
r2mcp io.github.dmokong/r2mcp 1.7 · 35/100 Persistent semantic memory layer for Claude Code — PostgreSQL + pgvector + OpenRouter embeddings
Version check not run yet
Search and retrieval (RAG) npm Local 52 a week MIT
-
SNIPER MCP server for domain knowledge indexing and retrieval
Version check not run yet
Search and retrieval (RAG) npm Local MIT
MR
mcp-recall io.github.sakebomb/mcp-recall 1.7 · 35/100 Context compression and persistent retrieval for Claude Code
Version check not run yet
Memory and context npm Local 50 a week MIT
-
Token-efficient memory, code indexing, and validation for Claude Code agents — SQLite + FTS5, TF-IDF + Qdrant retrieval, AST skeleton pruning, diff-aware context, Logic Guardian drift detection
Version check not run yet
Search and retrieval (RAG) npm Local 49 a week MIT
-
Adaptive Retrieval-Augmented Self-Refinement MCP Server — a closed-loop system that lets LLMs iteratively verify and correct their own claims using uncertainty-guided retrieval.
Version check not run yet
Search and retrieval (RAG) npm Local MIT
LL
llmemory io.github.entaina/llmemory 1.7 · 34/100 Memory infrastructure for agents: short-term checkpointing, long-term file-based and graph-based memory, retrieval with time decay, and maintenance jobs.
Not checked yet
Files and storage RubyGems MIT
CP
ctxloom-pro io.github.kodiii/ctxloom-readme.md 1.7 · 34/100 ctxloom — The Universal Code Context Engine. A local-first MCP server providing intelligent code context via hybrid Vector + AST + Graph search with token-efficient Skeletonization.
Version check not run yet
Developer tools npm Local 44 a week SEE-LICENSE-IN
LM
light-mem io.github.devestacion/light-mem 1.7 · 34/100 Lightweight persistent memory for Claude Code and OpenCode. In-process embeddings, no external services.
Version check not run yet
Memory and context npm Local 44 a week APACHE-2.0
-
MCP server for Hyperterminal — real-time AI news, semantic search, and weekly digests for AI agents.
Version check not run yet
Web search and scraping npm Local MIT
VE
Velocirag io.github.HaseebKhalid1507/velocirag 1.7 · 34/100 Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
Version check not run yet
Search and retrieval (RAG) Official MCP Registry Local
-
一个专门用于解析网页设计结构的MCP工具
Version check not run yet
Search and retrieval (RAG) npm Local APACHE-2.0
-
Local-first memory, hybrid RAG, and agent personalization for AI coding agents (OpenCode, Claude Code, Codex, Gemini CLI, Antigravity). MCP server + CLI with persistent context, document ingestion, ve
Version check not run yet
Search and retrieval (RAG) npm Local 41 a week MIT
-
Local RAG MCP Server - Easy-to-setup document search with minimal configuration (fork with remote embedding server support)
Version check not run yet
Search and retrieval (RAG) npm Local 41 a week MIT
-
Local-first semantic codebase search for AI coding assistants using MCP, Tree-sitter parsing, and LanceDB vector storage
Version check not run yet
Developer tools npm Local 41 a week MIT