Attestor MCP Server

What the code does

We read the source, 6 d ago · rules 995398eba69f

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    path = os.path.join(home, ".claude", "projects", slug, f"{session_id}.jsonl")

        sha = subprocess.check_output(

        <select class="field" name="status">
          <option value="active" {% if filters.status == 'active' %}selected{% endif %}>active</option>

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add attestor -- uvx attestor

{
  "mcpServers": {
    "attestor": {
      "command": "uvx",
      "args": [
        "attestor"
      ]
    }
  }
}

[mcp_servers.attestor]
command = "uvx"
args = ["attestor"]

{
  "mcpServers": {
    "attestor": {
      "command": "uvx",
      "args": [
        "attestor"
      ]
    }
  }
}

{
  "servers": {
    "attestor": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "attestor"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: ATTESTOR_PATH (Directory containing attestor's config.toml. Defaults to ~/.attestor), ATTESTOR_DISABLE_LOCAL_EMBED (Set to 1 to skip the local Ollama embedder probe (e.g., on hosts without Ollama). Defaults to unset (Ollama is the default embedder)), OPENAI_API_KEY (OpenAI API key (used for the OpenAI text-embedding-3-large fallback embedder when Ollama is unavailable)), OPENROUTER_API_KEY (OpenRouter API key (used for the federated LLM extraction / consolidation paths and for the LongMemEval benchmark runner)).