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How PredictLeads Avoided Weeks of MCP Marketplace Review

How PredictLeads Avoided Weeks of MCP Marketplace Review

PredictLeads used Manufact's pre-submission checks to catch missing output schemas and oversized responses before review, avoiding weeks of blind resubmission.

Pranav Gunnam
Pranav GunnamGTM Lead
How AgentMail handles 100k+ agent tool calls with Manufact

How AgentMail handles 100k+ agent tool calls with Manufact

AgentMail runs 100,000+ MCP tool calls a week on Manufact's managed infrastructure, going from paying customer to production server in one week.

Pietro Zullo
Pietro ZulloCo-founder
How iAhorro shipped a mortgage simulation app on ChatGPT in 4 days

How iAhorro shipped a mortgage simulation app on ChatGPT in 4 days

iAhorro went from an early prototype to a production-ready MCP App on ChatGPT in days, using mcp-use and Manufact Cloud.

Luigi Pederzani
Luigi PederzaniCo-founder
How Meilleurtaux became the first French broker to launch a mortgage app on ChatGPT

How Meilleurtaux became the first French broker to launch a mortgage app on ChatGPT

Meilleurtaux is the first credit and mortgage broker in France to launch a dedicated app on ChatGPT. They built a borrowing-capacity simulator on top of their real-time data with mcp-use and Manufact Cloud, in under two months.

Luigi Pederzani
Luigi PederzaniCo-founder
How item exposed its product agent to ChatGPT and Claude with mcp-use

How item exposed its product agent to ChatGPT and Claude with mcp-use

item already had a great internal agent inside their Next.js app. Their customers wanted to use it from their own agents. Here is how item shipped a production MCP server from the same repo, reusing the tools they already had and exposing the agent itself as a tool.

Pietro Zullo
Pietro ZulloCo-founder
How Simera turned its global talent database into an agent

How Simera turned its global talent database into an agent

Simera spent years building more than a resume database: structured professional data with pre-screened skills, communication scores, and verified hiring alignment. That proprietary intelligence was the moat, but every match still ran through a person. Here is how they turned it into Agent David, one MCP app that serves their customers, their website, and their own operations team.

Pietro Zullo
Pietro ZulloCo-founder