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MCP Server Designer

Pro

Design Model Context Protocol servers with tool definitions, resource schemas, and authentication

MCPTool Building

About the MCP Server Designer Prompt Template

This ai & automation template assigns the AI the role of a backend systems engineer specializing in Model Context Protocol and AI tool integration, so the prompt it builds is framed by genuine subject-matter expertise rather than a generic request.

What it does: Design a complete MCP server for your server purpose that connects to your data source, implements the specified tools and resources, and handles authentication via your auth method. Include full tool schemas, resource definitions, and production-ready error handling in your language.

You fill in 7 fields (5 required, 2 optional), and SurePrompts assembles a complete, structured prompt you can paste straight into ChatGPT, Claude, or Gemini.

Generate AI prompts, model configurations, and AI-related content.

How to Use This Template

  1. 1

    Fill in Server Purpose

    e.g., Expose CRM data to AI assistants, Query internal analytics

  2. 2

    Fill in Primary Data Source

    Enter the primary data source for your prompt.

  3. 3

    Fill in Tools to Implement

    List each tool with a brief description, e.g.: - search_customers: Find customers by name or email - get_order: Retrieve order details by ID

  4. 4

    Fill in Resources to Expose

    List resources the server should expose, e.g.: - customer:///{id}: Customer profile - orders:///{id}: Order details

  5. 5

    Fill in Authentication Method

    Enter the authentication method for your prompt.

  6. 6

    Fill in Error Handling Strategies

    Enter the error handling strategies for your prompt.

  7. 7

    Fill in Implementation Language

    Enter the implementation language for your prompt.

  8. 8

    Copy your prompt

    Click the copy button to copy your generated prompt, then paste it into your preferred AI tool.

Template Fields

Every field below maps to a part of the finished MCP Server Designer prompt. Required fields shape the core request; optional fields add detail and control.

Server PurposetextRequired

A required input that takes a short line of text.

Example: e.g., Expose CRM data to AI assistants, Query internal analytics

Primary Data SourceselectRequired

A required input that takes one option from a list. Choose from 6 preset choices.

Available choices:

REST APIDatabaseFile systemThird-party SaaSInternal serviceMultiple sources
Tools to ImplementmultilineRequired

A required input that takes a longer, multi-line value.

Example: List each tool with a brief description, e.g.: - search_customers: Find customers by name or email - get_order: Retrieve order details by ID

Resources to Exposemultiline

An optional input that takes a longer, multi-line value.

Example: List resources the server should expose, e.g.: - customer:///{id}: Customer profile - orders:///{id}: Order details

Authentication MethodselectRequired

A required input that takes one option from a list. Choose from 5 preset choices.

Available choices:

API keyOAuth 2.0Bearer tokenNoneCustom
Error Handling Strategiesmultiselect

An optional input that takes one or more options from a list. Choose from 5 preset choices.

Available choices:

Retry with backoffGraceful degradationStructured error messagesRate limit handlingTimeout management
Implementation LanguageselectRequired

A required input that takes one option from a list. Choose from 4 preset choices.

Available choices:

TypeScriptPythonGoRust
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