Grounding Enforcer
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Grounding EnforcerValidate the following claims against sources: 'The Earth is flat, and 98% of scientists agree.'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Grounding Enforcer (MCP)
A standalone MCP server that validates model output against retrieved sources. It flags any claim, statistic, attribution, quote, or URL that cannot be traced back to a real source.
This repository contains the full implementation, including all grounding checks, violation logic, and output-cleaning modes. It runs independently and does not depend on the full suite.
Usage
Add this server to your MCP client configuration (Claude Desktop, Cursor, Windsurf, or any MCP‑compatible environment):
{ "mcpServers": { "grounding_enforcer": { "command": "python3", "args": ["/path/to/mcp-grounding-enforcer/server.py"] } } }
Related MCP server: openclaw-output-vetter-mcp
Modes
strict — removes sentences containing ungrounded spans
lenient — rewrites ungrounded spans with hedging
all (default) — removes fabricated retrieval claims only
Relationship to the full suite
This suppressor is also included in the consolidated mcp-hallucination-suite, which bundles all four suppressors and provides a meta-orchestrator: https://github.com/steveswain14/mcp-hallucination-suite
Related repositories
mcp-prompt-suppressor
mcp-json-suppressor
mcp-tool-response-suppressor
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP-native web evidence and claim verification: cited, source-grounded evidence for AI agents.
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
Evidence-readiness MCP server: validate, audit, and score briefs, memos, and evidence packs.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server that provides fact-checking capabilities and truth anchoring for AI agents using verified data sources.MIT
- AlicenseAqualityBmaintenanceMCP 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, no API calls.423 PyPI1MIT
- AlicenseNot gradedqualityDmaintenanceThe first MCP server that verifies AI outputs in real-time, ensuring every LLM response is correct, complete, and reliable before it reaches your editor.323 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceAn MCP server that verifies whether a claim is actually supported by the source text at a given citation — independent of what the calling LLM asserts.MIT