# Primaxiom Memory Reasongraph MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.primaxiom.memory%2Freasongraph
Registry id: `mcp-registry/ai.primaxiom.memory/reasongraph`
Status: auth-required (checked 2026-10-26T18:36:51.108Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 209
- Outages (90 days): 0

## Install

```json
{
  "mcpServers": {
    "primaxiom-memory-reasongraph-mcp-server": {
      "type": "http",
      "url": "https://memory.primaxiom.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http primaxiom-memory-reasongraph-mcp-server https://memory.primaxiom.ai/mcp
```

## Tools (10)

- `add_texts`: Ingest text documents, automatically extract entities and cause-effect relations, and add them to the graph memory.
- `causal_chain`: Retrieve the full causal chain between two entities or facts.
- `discover`: Discover connections between facts across independent documents and sessions, returning reasoning paths.
- `query`: Query the graph memory to retrieve relevant facts and reasoning chains for a given question.
- `recall`: Retrieve facts from memory for a given session/scope based on a query.
- `remember`: Store a fact or text into the memory for a given session/scope.
- `root_causes`: Trace root causes backward from a given entity or fact to find upstream causes.
- `trace_effects`: Trace causal effects forward from a given entity or fact to find downstream consequences.
- `what_if`: Perform a counterfactual query to explore alternative scenarios.
- `why`: Explain why a particular fact or conclusion was reached, showing the reasoning chain.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.