MCP Tool Designer Prompt
Turn a plain-English capability list into a clean MCP tool schema.
/ 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.
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}}## tools
- `search_customers` (input: {query, limit}) — returns top matching customers (read-only)
- `get_customer` (input: {id}) — returns full customer record (read-only)
...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) ...
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →MCP (Model Context Protocol)
Open standard letting AI clients call external tools, data and prompts.
- →Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
- →Tool Use
An LLM invoking external functions to act beyond text generation.
Related workflows
Turn this into a repeatable process.
- →Build an MCP Server for Your Internal Data
Expose one internal data source to every AI client via the Model Context Protocol.
- →Audit MCP Tool Security
A checklist that catches the failure modes unique to model-driven tool calls.
Related tool stacks
The tools that run it in production.
- →AI Automation Operator Stack
The default toolset for one operator running multiple AI-powered business workflows.
Related prompts
Reusable prompts for this job.
- →MCP Tool Surface Design Prompt
Turns an app description into a minimal, safe MCP tool and resource surface.
- →Prompt Improver Prompt
Iterate a weak prompt into a strong one using best practices.
- →Strategic Analyst Prompt
Turn a business situation into a McKinsey-style strategic memo.
- →Buyer Persona Builder Prompt
Generate a detailed persona from a product description and target market.
Related use cases
How people apply it, and what came out.
- →Consultancy Ships a Client-Wide MCP Server in 2 Weeks
A boutique AI consultancy replaces 6 bespoke Zapier flows with one MCP server.
Comparisons & alternatives
Pick between the options.
- →OpenAI vs Anthropic for Agents
Which provider builds better production agents in 2026.