An MCP server for validating AI agent outputs by checking quality, hallucination risk, and scope compliance. It also logs validation results and generates quality reports across agents.
From the registry: Output quality control and validation for AI agents
Please install the `qc-validator` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js and npx** — Requires a Node.js runtime with npx available to launch the MCP server package.
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["qc-validator-mcp"]
Note: README states this server uses stdio transport and requires zero configuration; no environment variables are documented.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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