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Independent project, not affiliated with Anthropic
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Slot openReach developers building with Claude Code.
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
inference shell
inference shell
create and run specialised agents in minutes
build now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Slot openReach developers building with Claude Code.
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
CodeRabbitCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending

iwant.fyi

iwantfyi/iwant
HTTP

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.

Categories
AI & LLM ToolsFinance & Commerce
TransportHTTP
UpdatedJun 7, 2026
View on GitHub

More from iwantfyi

  • iwant.fyi
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert
Capacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shellMake your agent a DeFi expert

Related AI & LLM Tools MCP Servers

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iwant.fyi

iwantfyi/iwant-0fafad22

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.
Code Assistant

j0hanz/code-assistant

Gemini-powered MCP server for code analysis.
Code Lens

j0hanz/code-lens

Gemini-powered MCP server for code analysis.
memo

jagoff/memo

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

james-h-millett/drug-landscape

**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)
Drug Landscape

james-h-millett/drug-landscape-b71fbc77

**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)