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Evaluate MCP retrieval servers for quality, coverage, and citation integrity.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-retrieval-probe" yet — see the docs or source repo.
Use mcp-retrieval-probe to evaluate this MCP retrieval server, focusing on calibration, relevance, coverage, and citation integrity, then summarize the results.
An evaluation report with findings across key retrieval quality dimensions and a brief conclusion.
Use mcp-retrieval-probe as an automated check step, compare the current retrieval server version on relevance and citation integrity, and flag clear regressions.
A CI-friendly check result showing whether quality regressions are present.
Using the MCP tools exposed by mcp-retrieval-probe, run probes against the target retrieval server and tell me which areas perform weakly.
A weakness analysis based on probe results, such as poor coverage or incomplete citations.
Before releasing an MCP retrieval server, developers can use it to check calibration, relevance, coverage, and citation integrity to catch quality issues early.
DevOps or engineering teams can integrate it into CI to continuously probe retrieval performance and detect obvious regressions after updates.
When an assistant needs to judge whether an MCP retrieval service is reliable, it can call the exposed probe tools to get structured evaluation evidence.
It is an evaluation harness that probes MCP-based retrieval servers for calibration, relevance, coverage, citation integrity, and related aspects. It also exposes those probes as MCP tools for assistants and CI agents.
Yes. The description explicitly says it exposes probes for assistants and CI agents, so it fits automated checking workflows.
The provided material does not include installation steps, runtime requirements, or dependencies. See the source repository for details.
Extract claims from drafts and find high-quality academic citations fast.
Audit MCP servers for conformance and generate scores with Markdown reports.
Inspect and score MCP servers for publishability, schema, and protocol readiness.
Index and search local text files with token-level relevance matching.
Audit MCP servers for conformance, tool usability, and error handling quality.
Extract, verify, cache, and search factual claims from text.