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Home/Templates/text/coding/mcp-server-development
textCodingintermediate

MCP Server Development Prompt

Create a Model Context Protocol (MCP) server with FastMCP or TypeScript SDK following best practices

Suggested model: Claude Opus 4.7Estimated length: 1,200 tokens
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Fill in the required details first. Optional controls help you fine-tune the result.

What external service or API will this MCP server interact with?

What will users accomplish with this MCP server?

Python (FastMCP) or TypeScript (MCP SDK)?

What tools/capabilities must this server provide?

See a completed example

GitHub MCP Server

Input Variables
serviceName:GitHub
useCase:Search, create, and manage GitHub issues and pull requests from AI agents
language:python
requiredFeatures:- Search issues - Create issue - Update issue status - List pull requests
requiresAuth:
authMethod:token

Questions about this prompt

Best Practices

Critical Best Practices

Use Tool Preambles

critical

Provide clear progress updates before calling tools so users can follow the agent's work. This improves transparency and user experience during long operations.

Example:

“Before calling search tools, explain: "I'm going to search our knowledge base for recent updates on this topic..."”

Source: openai

Define Persistence Behavior

critical

Specify when the agent should continue working vs. asking for clarification. Set clear stop conditions to avoid premature termination or endless loops.

Example:

“Only stop when: (1) Task is fully complete, (2) User explicitly asks to stop, or (3) You encounter an unrecoverable error.”

Source: openai

Define Error Handling Strategy

critical

Specify how agents should handle errors, missing data, and edge cases. Should they retry, escalate, or proceed with uncertainty?

Source: custom

Set Safety Boundaries

critical

Define which actions require confirmation (destructive operations, external API calls, file deletions) vs. which can be done autonomously.

Example:

“Ask before: deleting files, making API calls that cost money, or modifying production databases.”

Source: claude

Recommended Best Practices

Enable Parallel Tool Execution

recommended

Allow agents to call multiple independent tools simultaneously for faster execution. Critical for research and multi-step workflows.

Example:

“When gathering context, run file reads and searches in parallel rather than sequentially.”

Source: claude

Related Templates

AI Agent Architecture Design Prompt
text / coding

Keywords

mcp server developmentmodel context protocolfastmcpmcp typescript sdkclaude mcpai agent toolsmcp server tutorial