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  • License MIT

Model Context Protocol server for Neruva -- vector memory + HD-native substrate (KGs, analogy, causal do-operator, EFE planning).

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    Readme

    @neruva/mcp

    Model Context Protocol server for Neruva -- vector memory + HD-native substrate (knowledge graphs, analogy, causal do-operator, EFE planning) for AI agents.

    Install

    npx -y @neruva/mcp     # one-off, no install
# or
npm i -g @neruva/mcp   # then `neruva-mcp`

    Wire into a client

    Claude Code

    claude mcp add neruva \
  --env NERUVA_API_KEY=$NERUVA_API_KEY \
  -- npx -y @neruva/mcp

    Cursor (~/.cursor/mcp.json)

    {
  "mcpServers": {
    "neruva": {
      "command": "npx",
      "args": ["-y", "@neruva/mcp"],
      "env": { "NERUVA_API_KEY": "..." }
    }
  }
}

    Codex (~/.codex/config.toml)

    [mcp_servers.neruva]
command = "npx"
args = ["-y", "@neruva/mcp"]
env = { NERUVA_API_KEY = "..." }

    Gemini CLI (~/.gemini/settings.json)

    {
  "mcpServers": {
    "neruva": {
      "command": "npx",
      "args": ["-y", "@neruva/mcp"],
      "env": { "NERUVA_API_KEY": "..." }
    }
  }
}

    Tools exposed

    Tool What it does
    memory_upsert Insert/update vectors in a namespace (Pinecone-compatible)
    memory_query Cosine top-K search in a namespace
    memory_delete Delete vectors by id
    hd_kg_add_fact Add (subject, relation, object) to a knowledge graph
    hd_kg_query Query a knowledge graph for the object of a (subject, relation)
    hd_analogy Solve a🅱️:c:? analogies in HD space
    hd_causal_query Observational or interventional (Pearl do-operator) query
    hd_plan EFE active-inference planner over a stored model

    Auth

    Set NERUVA_API_KEY in the environment. Get a key at https://app.neruva.io.

    NERUVA_URL is optional and defaults to https://api.neruva.io.

    License

    MIT