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Connect Allivista

Give your AI a structural cortex and end-to-end encrypted memory through the Model Context Protocol — in Claude Desktop, Claude Code, Cursor, or any MCP client.

Not a developer? Start here.

Claude Desktop is one click — no Python, no config files, nothing to install. Just add the extension and type your key. The Claude Code & Cursor steps further down are the developer route.

⬇ allivista.mcpbone-click · Claude Desktop
discoververifyrecallremember

Four tools. Three of them only read; remember writes to your private, passphrase-encrypted store that we cannot read.

0 Before you start

1 Claude Desktop — recommended for everyone · no Python, no JSON

  1. Download the extension: ⬇ allivista.mcpbone-click Desktop extension
  2. Open Claude Desktop → Settings → Extensions and drag allivista.mcpb in (or double-click it).
  3. Paste your Pro API key and memory passphrase into the fields.
  4. Done — discover, verify, recall, remember appear in Claude.

No Python or JSON needed — everything (server + dependencies) is bundled and runs locally on your machine.

2 Claude Code — for developers

Comfortable with a terminal and a config file? Read on. Otherwise use Claude Desktop above — same connector, zero setup.

Prerequisites

Add it to .mcp.json (project root) or ~/.claude.json

{
  "mcpServers": {
    "allivista": {
      "command": "python",
      "args": ["/path/to/allivista-mcp/api/mcp_server.py"],
      "env": {
        "ALLIVISTA_API_KEY": "alv_your_pro_key",
        "ALLIVISTA_MEMORY_PASSPHRASE": "your-memory-passphrase",
        "ALLIVISTA_BASE_URL": "https://api.allivista.com"
      }
    }
  }
}

Restart Claude Code so it launches the server. On macOS/Linux use python3 and a full path like /Users/you/allivista-mcp/api/mcp_server.py.

3 Cursor — for developers

Same prerequisites as Claude Code (Python 3.10+, pip install mcp httpx cryptography, the unzipped server). Add Allivista in Cursor → Settings → MCP → Add new server, or edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "allivista": {
      "command": "python",
      "args": ["/path/to/allivista-mcp/api/mcp_server.py"],
      "env": {
        "ALLIVISTA_API_KEY": "alv_your_pro_key",
        "ALLIVISTA_MEMORY_PASSPHRASE": "your-memory-passphrase",
        "ALLIVISTA_BASE_URL": "https://api.allivista.com"
      }
    }
  }
}

Reload Cursor; the green dot next to allivista means it connected.

4 Any other MCP client

Allivista is a standard stdio MCP server. Point any client at:

# command + args
python /path/to/allivista-mcp/api/mcp_server.py

# environment
ALLIVISTA_API_KEY=alv_your_pro_key
ALLIVISTA_MEMORY_PASSPHRASE=your-memory-passphrase   # optional (memory)
ALLIVISTA_BASE_URL=https://api.allivista.com

The server speaks MCP over stdin/stdout and proxies to api.allivista.com over TLS using your key.

What you get

ToolAccessDoes
discoverread-onlyHidden structural "bridge" concepts around a topic, from a 4.3M-paper cortex, with a constrained narration.
verifyread-onlyChecks whether the cortex's structure supports a claimed relationship between two concepts — a hallucination guard.
recallread-onlyFinds a verbatim passage across your stored memory and which document it came from.
rememberwriteStores a note verbatim in your private, end-to-end encrypted memory.

Using the tools — try these

You don't call these by hand — just ask your AI in plain language and it picks the right tool.

Discover hidden links"Use Allivista to discover hidden bridges for Parkinson's disease."
→ concepts the literature connects only indirectly, plus a narration. Tip: pass comma-separated variants, e.g. alzheimer,alzheimers,dementia.

Fact-check a relationship"With Allivista, verify whether amyloid-beta drives Alzheimer's."
→ a verdict (supported_directunsupported) + the bridging concepts — a hallucination check before you cite a link.

Remember something"Remember this in Allivista: <your note>."
→ stored verbatim, encrypted on your device. Give it a title so you can overwrite it later.

Recall it later"Recall from my Allivista memory: Project Halcyon vendor quote."
→ the exact passage + which note it came from. Search a distinctive literal phrase — recall is exact, not fuzzy.

See the full examples & cookbook →

Under the hood: GeoLang

Allivista runs on GeoLang — a language that encodes meaning as geometry: concepts as points in a structured space, related by their typed faces and co-occurrence bonds. The cortex (discover/verify) reads that structure directly — no embeddings. Your memory is a per-user keyed GeoLang dialect: words become opaque structural ids your machine can search but our servers can't read — verbatim and zero-knowledge at once. The cortex and memory are just two dialects; there's more. What is GeoLang? →


Notes

Verify your download

The Windows build isn't code-signed yet, so confirm your copy is genuine — the SHA-256 should match:

allivista.mcpb     47316b73a5385c2283e711b3f47ca0be4019a33431a7d86cc4673a9f2ead86be
allivista-mcp.zip  4ace9622282c5bc2f673f5b6a5ddf10c1c36d316ba6c6a055881a21800e81c33

Check it — PowerShell: Get-FileHash .\allivista.mcpb -Algorithm SHA256  ·  macOS/Linux: shasum -a 256 allivista.mcpb

Downloads: allivista.mcpb · allivista-mcp.zip · Privacy · allivista.com
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