{"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/8da012e092a82666be72","record":{"id":"8da012e092a82666be72","name":"DalalOS","aliases":["DalalOS"],"description":"I built an MCP server/connector to fetch financial data for all listed stocks on NSE and BSE.\n\nIt can pull things like QoQ profit/revenue growth for any stock, price trends, promoter holdings, institutional investors, new company declarations, and more. I’ve also built 25 tools within the MCP to support different financial-data use cases.\n\nToday, if you ask Claude for personal finance or stock-related advice, it usually relies on web searches or stale training data. The reasoning might still be sound, but the underlying data sources can be outdated or unreliable.\n\nWith this MCP/connector, Clau","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":"d8af9c70-c1b5-4543-9a0b-b3754613dfa4","source_record_name":"aatharva16/dalalos"}],"relevance_signals":["revenue"],"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"}}
