{"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/af3571b417518e4a4f5b","record":{"id":"af3571b417518e4a4f5b","name":"Atlas MCP","aliases":["Atlas MCP"],"description":"AI-powered MCP server for searching and conversing over FHIR R4 clinical documents. Features hybrid retrieval (BM25 + pgvector), cross-encoder reranking, LangGraph multi-agent workflow, PII masking, and multi-provider LLM support (Ollama, OpenAI, Anthropic, Bedrock). 15+ tools for agent queries, document retrieval, session management, and embeddings ingestion.","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":"63833942-e565-4747-9c1e-8c0e000d9a24","source_record_name":"rsanandres/atlas_mcp"}],"relevance_signals":["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"}}