OpenClaw Output Vetter

v1.3.0Securitystable

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 it

openclaw-output-vettermcpai-integration
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What is OpenClaw Output Vetter?

OpenClaw Output Vetter is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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 swallow...

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 it

This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for verifying AI agent claims vs reality — single

Use Cases

Verify agent claims against facts
Detect silent errors and mock data in responses
temurkhan13

Maintainer

LicenseMIT License
Languagepython
Versionv1.3.0
UpdatedMay 6, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install openclaw-output-vetter-mcp

Manual Installation

pip install openclaw-output-vetter-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about OpenClaw Output Vetter

What is OpenClaw Output Vetter?

OpenClaw Output Vetter is a Model Context Protocol (MCP) server that 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 it It connects AI assistants to external tools and data sources through a standardized interface.

How do I install OpenClaw Output Vetter?

Install via pip with: pip install openclaw-output-vetter-mcp. Then configure your AI client to connect to this MCP server.

Which AI clients work with OpenClaw Output Vetter?

OpenClaw Output Vetter works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is OpenClaw Output Vetter free to use?

Yes, OpenClaw Output Vetter is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "openclaw-output-vetter": { "command": "pip", "args": ["install", "openclaw-output-vetter-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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