Model Context Protocol server for Neruva — vector memory + HD-native substrate (KGs, analogy, causal do-operator, EFE planning).
Project description
neruva-mcp
Model Context Protocol server for Neruva — vector memory + HD-native substrate. Same 8 tools as the TypeScript package, for Python-only MCP hosts (e.g. Codex, custom agents).
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
Tools
| Tool | What it does |
|---|---|
memory_upsert |
Insert/update vectors in a namespace (Pinecone-compatible) |
memory_query |
Top-K cosine search |
memory_delete |
Delete by id |
hd_kg_add_fact |
Add (subject, relation, object) to a KG |
hd_kg_query |
Query KG for object of (subject, relation) |
hd_analogy |
Four-term analogy in HD feature space |
hd_causal_query |
Observational / interventional query on stored SCM |
hd_plan |
EFE active-inference planner |
Env
| Variable | Default |
|---|---|
NERUVA_API_KEY |
required |
NERUVA_URL |
https://api.neruva.io |
License
MIT — Clouthier Simulation Labs.
Project details
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