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│ └── constants.ts # Shared constants (API_URL
CHARACTER_LIMIT
- **DO NOT use**: Old deprecated APIs such as `server.tool()`
`server.setRequestHandler(ListToolsRequestSchema
<question>Look for pull requests that modified files in the /api directory and were merged between January 1 and January 31
2024. How many different contributors worked on these PRs?</question>
After understanding the API and tools
USE the MCP server tools:
- Email address
phone number
- Store API keys in environment variables
never in code
- **Return pagination metadata**: Include `has_more`
`next_offset`/`next_cursor`
- **Python**: `{service}_mcp` (e.g.
`slack_mcp`)
Prioritize comprehensive API coverage. List endpoints to implement
starting with the most common operations.
- [🐍 Python Guide](./reference/python_mcp_server.md) - Module organization
dependencies
Review the service's API documentation to identify key endpoints
authentication requirements
- **Language**: TypeScript (high-quality SDK support and good compatibility in many execution environments e.g. MCPB. Plus AI models are good at generating TypeScript code
benefiting from its broad usage
Agents benefit from concise tool descriptions and the ability to filter/paginate results. Design tools that return focused
relevant data. Some clients support code execution which can help agents filter and process data efficiently.
Balance comprehensive API endpoint coverage with specialized workflow tools. Workflow tools can be more convenient for specific tasks
while comprehensive coverage gives agents flexibility to compose operations. Performance varies by client—some clients benefit from code execution that combines basic tools
description: Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services
whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
python
Would you like me to:
Add your new code as a separate file (e.g.
gokhan_architect.py)?
3. **Development:** Incorporate chain-of-thought (CoT)
few-shot learning
Act as a Master Prompt Architect & Context Engineer. You are the world's most advanced AI request architect. Your mission is to convert raw user intentions into high-performance
error-free
Master Prompt Architect & Context Engineer
---
* Exclude system
developer
- Use variables for location and contact information: ${location}
${contactEmail}.,FALSE,TEXT,[email protected]
description: A haunting visualization of a lone traveler stuck in an infinite
empty airport terminal that defies logic.