The Lounge

Demand-side commerce for AI agents. Tell iwant.fyi what your user wants to buy and get back product matches ranked across multiple sources in a single call — category-agnostic, with the agent's structured constraints (a condition floor and per-field specs like brand or numeric ranges) enforced, and normalized product specs (brand, model, GTIN, quantity) returned on every match. Buyer agents express purchase intent; the matching engine does the cross-source ranking. MCP-native with an HTTP and A2A interface. Reference implementation of the open iwant.fyi demand-side protocol v1.0.

Demand-side commerce for AI agents. Tell iwant.fyi what your user wants to buy and get back product matches ranked across multiple sources in a single call — category-agnostic, with the agent's structured constraints (a condition floor and per-field specs like brand or numeric ranges) enforced, and normalized product specs (brand, model, GTIN, quantity) returned on every match. Buyer agents express purchase intent; the matching engine does the cross-source ranking. MCP-native with an HTTP and A2A interface. Reference implementation of the open iwant.fyi demand-side protocol v1.0.

Gemini-powered MCP server for code analysis.

Gemini-powered MCP server for code analysis.

Local MLX-native memory for AI agents — markdown-on-disk, sqlite-vec + BM25 hybrid, zero cloud.

**Pharma intelligence as a Claude / Cursor / Continue / Zed / Cline / Windsurf tool.** Drug Landscape exposes 11 MCP tools over `https://druglandscape.com/api/mcp` covering: - **156,000+ drugs** — FDA + EMA + MHRA + PMDA approved, plus pipeline candidates - **480,000+ clinical trials** — from ClinicalTrials.gov - **915 pharmaceutical companies** — with SEC ticker + pipeline - **61 disease areas** — treatment landscape + guidelines ### Tools - `lookup_drug` — full profile by brand, generic, or slug - `lookup_disease` — treatment landscape for any disease - `lookup_company` — company + pipeline + ticker - `lookup_trial` — trial by NCT ID - `search` — global semantic search - `compare_drugs` — side-by-side drug comparison - `browse_drugs` — filter by phase, area, class, target - `get_pipeline` — full company pipeline - `get_drugs_in_class` — pharmacologic class lookup (PD-1, GLP-1, JAK…) - `get_drugs_for_target` — molecular target lookup (EGFR, HER2, PCSK9…) - `define` — pharma glossary (NDA, PDUFA, ORR, QALY, ADC…) ### Why use it Every response includes the canonical URL of the entity (e.g. `https://druglandscape.com/drug/keytruda`). Cite that URL and the LLM has already linked to underlying primary sources — FDA label, EPAR, NICE TA, ClinicalTrials.gov, SEC filing, USPTO patent, PubMed paper. Free with no API key. Reasonable rate limits via Vercel edge cache. ### Example prompts - "What's Keytruda's mechanism and approved indications?" - "Compare Ozempic and Mounjaro side-by-side." - "List every Phase 3 PD-1 inhibitor in oncology." - "What's in Eli Lilly's pipeline for obesity?" ### Resources - Website: [druglandscape.com](https://druglandscape.com) - API docs: [druglandscape.com/api-docs](https://druglandscape.com/api-docs) - Source: [github.com/JamesMildog/drugs-landscape](https://github.com/JamesMildog/drugs-landscape)