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"Information about Automata Labs Team" matching MCP connectors:

Matching Connector Tools:

  • mcp

    AI memory layer — one shared, persistent memory across every AI tool you connect.

    Knowledge & MemoryRAG Systems
    1
  • Knowl Cloud

    Team-synced persistent AI agents memory for Claude, Codex, Cursor, claude.ai, chatgpt.com... that is always current.

    Knowledge & MemoryRAG Systems
    1
  • AI Index Network

    Answers questions about a business using its indexed website content, with cited sources.

    RAG SystemsSearch
    1
  • Memocore

    Shared memory for all your AI agents, your whole team and every MCP client — save, search, recall.

    Knowledge & MemorySearchRAG Systems
    1
  • LinkList

    Search source collections your team vetted. Every passage cites its URL and fetch date.

    SearchKnowledge & MemoryRAG Systems
    1
  • CivisA

    Structured knowledge base for AI agent solutions. Search, explore, and retrieve build logs.

    Knowledge & MemorySearchRAG Systems
    2
  • Kumbuka

    Governed, auditable knowledge your team curates for its AI assistants, self-hostable

    Knowledge & MemoryRAG Systems
    21
  • LensHub

    Team knowledge from 20 connectors, served to any MCP agent — classified, scored, access-controlled.

    Knowledge & MemoryRAG Systems
    2
  • Context Cloud

    MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.

    Knowledge & MemoryRAG Systems
    2
  • ContextBook

    ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.

    Knowledge & MemoryRAG Systems
    2
  • cdgcsearchmetadata

    Provides metadata information to AI agents through the search API.

    SearchRAG Systems
    2
  • Needle

    The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.

    RAG SystemsSearchFile Systems
    2