Google tells you what exists. Faceabot tells you what holds up.
In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
MCP endpoint :https://vector-search.api.klymax402.com/mcp · website · measurements and detailsOperate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
MCP endpoint :https://www.vectorpanda.com/api/mcp · website · measurements and detailsSearch and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
MCP endpoint :https://www.vectorpanda.com/mcp · website · measurements and detailsAssembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.
Package oci :ghcr.io/kroq86/vector-db-mcp:0.1.1 · website · measurements and detailsDisposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
MCP endpoint :https://liangsearch.aioniq.ai/mcp · website · measurements and detailsPersistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
MCP endpoint :https://mcp.contexta.cc/mcp · website · measurements and detailsPersistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
MCP endpoint :https://gnosismemory.com · website · measurements and detailsAstra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
MCP endpoint :https://astra-widgets-mcp.vercel.app/mcp · website · measurements and detailsFederated local-first search across transcripts, files, KG, vectors and the web for AI agents.
Package pypi :magpie-search · website · measurements and detailsHybrid search for Cowork history: FTS, Spotlight, and semantic vectors
Package pypi :cowork-history · website · measurements and detailsGraph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
Package pypi :smartmemory-mcp · measurements and detailsEncrypted-first embedded database with vector search and agent memory, exposed as MCP tools
Package pypi :citadeldb-mcp · website · measurements and detailsMarkdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
Package pypi :memtomem · website · measurements and detailsSemantic code search for AI agents — hybrid BM25+vector, call-graph, 20+ languages.
Package pypi :trelix-mcp · measurements and detailsSearch self-contained .pikelet knowledge artifacts over MCP — no vector DB, no embedding API.
Package npm :pikelet · website · measurements and detailsTemporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
Package pypi :mem-context · website · measurements and detailsMCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
Package nuget :ThunderEagle.ContextBridge · website · measurements and detailsSQLite-backed hybrid (vector + FTS) code search index for Claude Code over MCP.
Package pypi :mcp-code-index · website · measurements and detailsRead-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
Package npm :@infoinlet/mcp-qdrant · website · measurements and detailsPrivate on-device memory & retrieval for AI assistants — offline vector + lexical search.
Package pypi :telys · 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
Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Open reliability data · Add Faceabot to your AI · Help · Privacy · Terms