01
Bring a documented API
Use an API spec from your side project, internal tool, or automation endpoint.
Build personal MCP access without running servers.
0mcp helps individuals turn useful API actions into hosted MCP tools for personal workflows, prototypes, and side projects. Start from an API spec and connect AI clients without maintaining protocol infrastructure.
Personal setup
personal-api.openapi.yaml7 operations
add_task
lookup_note
send_update
Personal API
MCP tools
Agent request
call add_task from AI client status 200 | latency 132ms | personal workspace
No hosting setup
Personal workflows
API-based tools
A lighter way to make your tools available to AI.
02
Pick safe actions
Expose only the actions you want your AI client to call.
03
Connect your client
Use the hosted MCP endpoint from compatible AI clients and custom agents.
Simple enough for experiments, structured enough to keep.
Personal MCP projects often start as experiments. 0mcp keeps them practical by handling hosting, giving you a clear capability list, and preserving room to improve the setup later.
Avoid local server chores
Skip the work of keeping a custom MCP server running for every personal workflow.
Keep actions understandable
Shape tool names and descriptions so your AI client gets a clearer interface.
Use what already works
Keep your existing API or automation endpoint as the source of truth.
Make personal automation less fragile.
Local MCP process
Hosted endpoint
Hand-maintained tool code
Spec-based setup
One-off client config
Reusable MCP surface
No clear history
Versioned changes
Create a personal MCP endpoint
Turn a useful API into AI-callable tools without running the server yourself.