01
Connect useful APIs
Start from the external or internal API your AI experience needs to call.
Give AI products reliable access to real tools.
0mcp helps AI product teams connect assistants, agents, and copilots to external APIs through the Model Context Protocol. Build on a hosted MCP layer while keeping tool access reviewable and observable.
Agent tooling
tool-api.openapi.yaml16 operations
search_records
create_ticket
summarize_account
External API
AI tools
Agent request
call search_records from agent workflow status 200 | latency 191ms | tool call
Agent-ready tools
Reviewable actions
Workflow observability
A cleaner path from prototype tools to production agents.
02
Shape agent-friendly tools
Define names and descriptions that make tool use easier for AI clients to reason about.
03
Observe the workflow
Use status and latency signals to improve reliability as prototypes move into production.
Tool access that product and engineering can inspect.
AI product teams need useful tools, but unchecked tool access creates reliability and trust problems. 0mcp keeps the integration layer explicit, versioned, and measurable.
Review before agents use it
Choose exactly which API operations become callable tools in your AI experience.
Iterate on tool quality
Revise descriptions and capabilities as you learn where agents succeed or get confused.
Separate tool plumbing from UX
Let your product team focus on agent behavior while 0mcp handles the hosted MCP layer.
Move beyond brittle custom tool adapters.
Hand-coded adapters
Hosted MCP server
Opaque tool behavior
Observable calls and errors
Hardcoded tool contracts
Versioned capability surface
Prototype-only wiring
Production-ready integration path
Connect your AI product to real APIs
Create reviewed, hosted MCP tools for the workflows your agents need.