{"schema_version":1,"snapshot_id":"bfb936f5ceae4a7427f93961201723779c3021545a3c4222395e8678314c3e55","generated_at":"2026-10-17T21:51:24.907033+00:00","notice":"Potential GTM matches from directory metadata and model triage. Discovered does not mean vendor-verified or tested. Pending records remain under review; pricing and install details require primary sources.","canonical_url":"https://gtmmcps.com/discoveries/07bb39cab058667b6a39","record":{"id":"07bb39cab058667b6a39","name":"Etincel","aliases":["Etincel"],"description":"# Étincel\n\nFind the AI tells in your prose. Deterministically, locally, in your agent's own drafting loop.\n\nÉtincel gives Claude, Cursor, or any MCP client two things most writing tools don't pair together: a trained voice to draft in, and a rule-based audit to check the result against. Neither step calls a model. The audit runs on pattern and rhythm analysis against your own past writing, not a wrapped API call to another LLM.\n\n## Tools an agent gets\n\n- `audit_text`: scores a draft for AI-writing tells (uniform paragraph length, hedged authority, stock transitions), with locations and severit","repository_url":null,"sources":[{"source_id":"smithery","url":"https://api.smithery.ai/servers","observed_at":"2026-10-17T21:40:22.481400+00:00","source_record_id":"e61bd599-4183-4107-99a8-e6178141b58c","source_record_name":"jp-leblanc/etincel"}],"relevance_signals":["email","workflow"],"classification":{"label":"pending","method":"not-yet-classified"},"catalog_ids":[],"verification_status":"discovered","vendor_ownership":"not-verified","execution_tested":false,"pricing_status":"not-verified","documentation_status":"not-verified"}}