About
A server that exposes Root Signals evaluators as MCP tools, enabling AI assistants and agents to assess responses against quality criteria through SSE or stdio transports.
Capabilities
Root Signals MCP Server is a lightweight bridge that exposes the rich evaluation ecosystem of Root Signals as Model Context Protocol tools. By translating API calls into MCP-compliant actions, the server lets AI assistants and agents automatically assess LLM outputs against a wide range of quality metrics—accuracy, safety, style adherence, and more—without leaving the conversational workflow. This removes a major friction point for developers who need to validate model behavior in real time, enabling tighter feedback loops and more reliable deployments.
The server offers a suite of tools that map directly to Root Signals capabilities. and let users browse and trigger standard evaluations, while supports policy‑driven checks for code generation. For composite judgments, and expose collections of evaluators that act as LLM‑as‑a‑judge, producing holistic scores. Each tool is implemented over Server‑Sent Events (SSE) for low‑latency, streaming results, and the server can also be invoked via standard MCP stdio for compatibility with desktop clients.
In practice, developers integrate the Root Signals server into their AI workflows by adding a single MCP endpoint to tools like Cursor or Claude Desktop. Once configured, an assistant can request a quality check as part of a dialogue: “Generate a summary and run it through the Fact-Check evaluator.” The assistant receives streamed feedback, can adjust its response on the fly, and logs a detailed evaluation report for audit or training purposes. This pattern is invaluable in regulated industries (healthcare, finance) where compliance and safety guarantees are mandatory.
Key advantages of the Root Signals MCP Server include:
- Seamless integration: No custom SDKs required; any MCP‑capable client can consume Root Signals tools.
- Real‑time feedback: Streaming results via SSE allow assistants to adapt responses instantly.
- Extensibility: New evaluators or judges added in the Root Signals dashboard automatically surface as MCP tools.
- Security: API keys are passed only to the server, keeping credentials out of client code.
By unifying evaluation logic with conversational AI through MCP, the Root Signals server empowers developers to build smarter, safer, and more accountable LLM applications with minimal friction.
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