groundlens
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AlicenseNot gradedqualityBmaintenanceDetect fabrication and hallucination in any LLM output. Score responses from GPT-4o, Claude, Gemini, Llama and 30+ models. Free tier included.1MIT- Apache 2.0

Semgrep MCP Serverofficial
AlicenseBqualityFmaintenanceAn MCP server that provides a comprehensive interface to Semgrep, enabling users to scan code for security vulnerabilities, create custom rules, and analyze scan results through the Model Context Protocol.6708 PyPI687MIT- AlicenseBqualityCmaintenancea typescript mcp to a langfuse MCP that enables you to see and connect agents to lanfuse data27105 npm1MIT

Sentry MCPofficial
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TDQS
Scored across 3 tools
The three tools address clearly different verification targets: execution traces, answer-source pairs, and record logs. No two tools accept the same kind of input or produce the same kind of output, so an agent can select among them without ambiguity.
All tool names follow the same verify_<noun> pattern with snake_case, matching the verb-object convention. The naming makes the input type immediately predictable from the tool name.
At three tools, the surface is tightly scoped to the verification domain: run traces, answers, and record-chain integrity. Each tool covers a distinct workflow and none feels redundant.
The toolkit covers the full observed verification lifecycle: generating verified run records, generating answer records, and validating logs of those records. Policies are provided as parameters rather than requiring separate management tools, so there are no obvious dead ends.