openclaw-output-vetter-mcp

temurkhan13/openclaw-output-vetter-mcp
★ 1 stars Python 🤖 AI/LLM Updated today
MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check + swallowed-exception scanner + multi-turn transcript review. Sub-second, local, free, MCP-native.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "openclaw-output-vett": {
      "command": "uvx",
      "args": [
        "openclaw-output-vetter-mcp"
      ]
    }
  }
}

Or install with pip: pip install openclaw-output-vetter-mcp

README Excerpt

<!-- mcp-name: io.github.temurkhan13/openclaw-output-vetter-mcp --> > **MCP server for verifying AI agent claims vs reality** — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. **Sub-second, local, free, MCP-native** — designed to be called inline from Claude Code / Curso

Tools (3)

find_swallowed_exceptionsreview_transcriptverify_response_grounding