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Model Context Protocol server for Neruva — text-embeddable Pinecone-compatible vector memory + HD-native substrate (knowledge graphs, analogy, causal do-operator). Drop-in for any MCP host.

Project description

neruva-mcp

Model Context Protocol server for Neruva — text-embeddable Pinecone-compatible vector memory + HD-native substrate (knowledge graphs, analogy, causal do-operator). Drop-in for any MCP host. Same 22 tools as the TypeScript package, for Python-only hosts.

Install

pip install neruva-mcp
export NERUVA_API_KEY=...        # from https://app.neruva.io

Or zero-install via uvx:

uvx neruva-mcp

Use

Add to your MCP host's config. Example for Claude Code:

claude mcp add neruva -- uvx neruva-mcp -e NERUVA_API_KEY=YOUR_KEY

Or run directly:

NERUVA_API_KEY=YOUR_KEY neruva-mcp

The 4-layer mental model

  • Memory = semantic recall (Pinecone-compatible drop-in)
  • KG = mutable structured state (deploy state, project status, refactor tracking)
  • Causal = "if I do X, what happens?" (Pearl do-operator)
  • Analogy = pattern transfer in HD feature space (experimental, sub-ms)

Tools (22)

Memory

Tool What it does
memory_embed Encode texts to D=1024 vectors via the server-side static-MRL encoder. No BYOE.
memory_upsert_text Embed and upsert text in one call -- the all-in-one for new users
memory_query_text Embed a text query and search in one call
memory_create_index Create a Pinecone-compatible vector index
memory_list_indexes List your indexes
memory_describe_index Describe one index
memory_stats Per-namespace vector counts
memory_upsert Insert/update raw vectors
memory_query Cosine top-K search (raw vectors)
memory_fetch Fetch vectors by id
memory_update In-place edit values/metadata
memory_delete Delete by id
memory_export Portable .nmm export
memory_import .nmm import
memory_bind_role Bind a role atom for compound queries
memory_read_roles Recover bound role atoms

HD-native substrate

Tool What it does
hd_kg_add_fact Add (subject, relation, object) to a KG (sharded K=16)
hd_kg_query Query KG for object of (subject, relation)
hd_kg_delete_fact Cancel a previously-added fact (mutable state)
hd_analogy Four-term analogy in HD space (n_feat up to 20)
hd_causal_add_worlds Add worlds to a structural causal model
hd_causal_query Observational or interventional (Pearl do-operator)

Env

Variable Default
NERUVA_API_KEY required
NERUVA_URL https://api.neruva.io

License

MIT — Clouthier Simulation Labs.

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