Prompt
MCP Tool Designer Prompt
Turn a plain-English capability list into a clean MCP tool schema.
1 min readupdated 2026-07-06
/ quick answer
Feed this to Claude or GPT-5 with the capability list of your internal system. Output is a starting schema for an MCP server. Turn a plain-English capability list into a clean MCP tool schema.
Turn a plain-English capability list into a clean MCP tool schema. Feed this to Claude or GPT-5 with the capability list of your internal system. Output is a starting schema for an MCP server. Copy the prompt below, swap the bracketed variables for your own context, and run it in any capable model. This prompt node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Context
Feed this to Claude or GPT-5 with the capability list of your internal system. Output is a starting schema for an MCP server.
Prompt
You are an MCP server architect. I will describe a data source and the actions we want AI clients to take against it. Return:
1) A list of `tools` (name, description, JSON schema for inputs, expected output shape).
2) A list of `resources` (URI template + description).
3) A list of `prompts` we should expose.
4) Auth model (stdio/local, HTTP+OAuth, API key).
5) Guardrails: which tools must be read-only, rate-limited, or human-approved.
Be strict: every tool must be minimal, composable, and have a clear success/failure contract.
Data source: {{DESCRIPTION}}
Desired capabilities: {{CAPABILITIES}}Example Output
## tools
- `search_customers` (input: {query, limit}) — returns top matching customers (read-only)
- `get_customer` (input: {id}) — returns full customer record (read-only)
...Related Workflow
Related Tool Stacks
/ frequently asked
What does the MCP Tool Designer Prompt prompt do?
Feed this to Claude or GPT-5 with the capability list of your internal system. Output is a starting schema for an MCP server.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
What output should I expect?
## tools - `search_customers` (input: {query, limit}) — returns top matching customers (read-only) - `get_customer` (input: {id}) — returns full customer record (read-only) ...
↳ connected nodes
Workflow↳ linked
Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
Tool Stack↳ linked
AI Automation Operator Stack
The default toolset for one operator running multiple AI-powered business workflows.
Prompt↳ linked
MCP Tool Surface Design Prompt
Turns an app description into a minimal, safe MCP tool and resource surface.
Dictionary↳ linked
MCP (Model Context Protocol)
Open standard letting AI clients call external tools, data and prompts.
Use Case↳ linked
Consultancy Ships a Client-Wide MCP Server in 2 Weeks
A boutique AI consultancy replaces 6 bespoke Zapier flows with one MCP server.
Prompt↳ linked
Prompt Improver Prompt
Iterate a weak prompt into a strong one using best practices.