We
WebMCP Core – AI agent tool definitions from any site
WebMCP Core – AI agent tool definitions from any site
Scan any site and generate WebMCP tool definitions for AI agents. Open source CLI. Deploy with one script tag, test in an agent playground, and A/B test your definitions to find what agents prefer. All at agents.keak.com.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
C2
C2mon-Core37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
C2mon-Core
A
A RISC-V core in Racket37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A RISC-V core in Racket
RA
RAMBOOT "Ubuntu Core Bootstrap" 1.0.0-beta1 released55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RAMBOOT "Ubuntu Core Bootstrap" 1.0.0-beta1 released
I
I built a 2010s microblogging site with SolidJS and .NET Core49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a 2010s microblogging site with SolidJS and .NET Core
AI
AI Agent in Jupyter – Runcell41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent in Jupyter – Runcell
MV
MVAR – Deterministic sink enforcement for AI agent20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MVAR – Deterministic sink enforcement for AI agent
Kollab14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-one AI Agent
Kollab37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-one AI Agent
LinkedNav14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent
Bilbo84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Metabase AI Agent