Memwright MCP Server

Embedded memory for AI agents with SQLite FTS5, pgvector, and Neo4j graph search.

Remote serverstreamable-httpPython

What is the Memwright MCP Server?

Embedded memory for AI agents with SQLite FTS5, pgvector, and Neo4j graph search.

What the server does

Full-context replay re-reads the whole conversation every turn — input tokens that grow O(n²) and a bill that compounds with every session. Attestor retrieves only what's needed: flat ~200 tokens per call, 21× fewer input tokens by turn 100, 100% recall — measured across six models, open and closed.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
t24growing
t50growing
t1008,709 tok/call

How to install the Memwright MCP Server

{
  "mcpServers": {
    "memwright": {
      "command": "uvx",
      "args": ["attestor"],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "PINECONE_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
OPENROUTER_API_KEYCredential the server authenticates with.Yes
PINECONE_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use Memwright to Multi.”
  • “Use Memwright to Self.”
  • “Use Memwright to Version.”

Frequently asked questions

Embedded memory for AI agents with SQLite FTS5, pgvector, and Neo4j graph search. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.