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Cloudflare Workers MCP server: embedding-search
MCP endpoint :https://api.lazy-mac.com/embedding-search/mcp · website · measurements and detailsTwelveLabs MCP: video indexing, search, analysis, and embeddings for AI applications.
MCP endpoint :https://mcp.twelvelabs.io · website · measurements and detailsBilingual dual memory with SSC for AI agents. Semantic search, embeddings, profiles.
MCP endpoint :https://alexbell1-hipocampo-mcp.hf.space/mcp · measurements and detailsRead-only semantic search MCP server for Obsidian vaults using local Ollama embeddings.
Package npm :@dalecb/obsidian-semantic-mcp · website · measurements and detailsSearch the web, generate AI responses, and create embeddings with real-time information
Package pypi :mcparmory-perplexity · website · measurements and detailsLocal semantic search — embedding-powered grep for files, zero external services.
Package pypi :embgrep · website · measurements and detailsEmbedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
Package pypi :memwright · website · measurements and detailsPersistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Package pypi :mnemo-mcp · website · measurements and detailsPersistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.
Package oci :ghcr.io/ayushagrawal288/memex:v0.1.0 · website · measurements and detailsPersistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Package pypi :mnemo-mcp · website · measurements and detailsManaged Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers
Package pypi :opensolr-mcp · website · measurements and detailsEncrypted-first embedded database with vector search and agent memory, exposed as MCP tools
Package pypi :citadeldb-mcp · website · measurements and detailsMCP server for Obsidian Smart Connections. Semantic search using your vault's embeddings.
Package npm :@gogogadgetbytes/smart-connections-mcp · website · measurements and detailsMinimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.
Package pypi :jaimenbell-rag-mcp · website · measurements and detailsSearch self-contained .pikelet knowledge artifacts over MCP — no vector DB, no embedding API.
Package npm :pikelet · website · measurements and detailsLocal semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
Package npm :smart-connections-mcp · website · measurements and detailsMCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
Package nuget :ThunderEagle.ContextBridge · website · measurements and detailsBM25 search + tree navigation over markdown docs for AI agents. No embeddings, no LLM calls.
Package npm :doctree-mcp · website · measurements and detailsPremium agentic endpoint for cross-modal-embedding-aligner-mcp.
MCP endpoint :https://api.m2mcent.com/cross-modal-embedding-aligner-mcp/sse · measurements and detailsHelps AI coding agents integrate MetaMask Embedded Wallets (Web3Auth) SDKs.
MCP endpoint :https://mcp.web3auth.io · website · measurements and detailsAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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