Embeddings and similarity search.
The ondocs Docusaurus plugin, under the name Docusaurus users search for: open-source Ask AI for your docs, with an MCP server for agents. Cited answers on your own model key, from one static index, with no vendor and no vector database.
The ondocs Starlight plugin, under the name Starlight users search for: open-source Ask AI for your docs, with an MCP server for agents. Cited answers on your own model key, from one static index, with no vendor and no vector database.
MCP server for semantic search and write actions across Apple Mail, Messages, Calendar, and Contacts. Speaks stdio (local) or bearer-token-authenticated Streamable HTTP (LAN / Tailscale).
Checks a claim's numbers, names and file names against your indexed notes. Local; no model.
MCP server for RushDB, the database for AI: schema-first tools for Claude, Cursor and other MCP clients
Scans agent code for untrusted input poisoning persistent cross-session memory
Your organization’s norms and reference documents (standards, laws), cited to the section and page.
Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data
Intent-based MCP server for project documentation search. Maps natural language queries to the right sources automatically—no configuration needed. The standard for AI agent documentation search.
RAG + Context Management MCP server: long-term memory, vector storage, knowledge retrieval. Run with npx, zero external APIs.
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
本地优先的多 Agent 协作与自动开发工作区，集成任务编排、记忆上下文、MCP/Skill、TestAgent、Git、飞书、知识库和终端
Local PowerPoint CLI and MCP server for editable PPTX, native 3D charts, JSON patches, template data binding, PDF/PNG export and Markdown extraction for RAG.
Memory-as-a-service MCP server for AI agents. 12 tools, Postgres + pgvector, multi-strategy retrieval. Works with Claude Code, Cursor, Codex, and any MCP client.
Complete Azure AI Search MCP server with vector search, semantic search, and document management
Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 38 MCP tools, codepoint-safe chunking (Korean/CJK/emoji).
MCP server that gives Claude, Cursor and other MCP clients access to OpenAI text, image, speech, transcription, embeddings and moderation
Appium MCP documentation query tools and indexed documentation assets
Session memory for coding agents: local-first recall, drift detection, on-device inference.
AINative ZeroDB MCP Server - 93 operations for vector search, TurboQuant vector compression (PolarQuant + QJL), NoSQL, dedicated PostgreSQL management, files, events, RLHF, knowledge graph (entities, edges, traversal, GraphRAG, ontology CRUD, contradictio