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io.github.contextq/contextq-mcp

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Publisher-provided description

Persistent memory, hybrid search and a goal graph for AI agents, over stdio or remote HTTP.

Summary by lookupd

Stores persistent agent memory and runs hybrid search over it, with a goal graph, over stdio or remote HTTP.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http contextq https://app.contextq.dev/mcp

Claude Code, npm package (stdio)

claude mcp add contextq -- npx -y @contextq/mcp

Codex, remote (streamable-http)

codex mcp add contextq --url https://app.contextq.dev/mcp

Codex, npm package (stdio)

codex mcp add contextq -- npx -y @contextq/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "contextq": {
      "url": "https://app.contextq.dev/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "contextq": {
      "command": "npx",
      "args": [
        "-y",
        "@contextq/mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

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