--- name: creating-mcp-servers description: Creates production-ready MCP servers using FastMCP v2. Use when building MCP servers, optimizing tool descriptions for context efficiency, implementing progressive disclosure for multiple capabilities, or packaging servers for distribution. metadata: version: 1.1.0 --- # Creating MCP Servers Build production-ready MCP servers using FastMCP v2 with optimal context efficiency through progressive disclosure patterns. ## Core Capabilities 1. **Apply mandatory patterns** - Four critical requirements for consistency 2. **Implement progressive disclosure** - Gateway patterns achieving 85-93% token reduction 3. **Optimize tool descriptions** - 65-70% token reduction through proper patterns 4. **Bundle servers** - Package as MCPB files with validation 5. **Proven gateway patterns** - Three complete implementations (Skills, API, Query) ## Trigger Patterns **Activate this skill when:** - "MCP server", "create MCP", "build MCP", "FastMCP" - "progressive disclosure", "gateway pattern", "context efficient" - "optimize MCP", "reduce context", "tool descriptions" - "MCPB", "bundle MCP", "package server" ## Architecture Decision ``` 1-3 simple tools? → Standard FastMCP with optimized tools Load: references/MANDATORY_PATTERNS.md 5+ related capabilities? → Gateway pattern (progressive disclosure) Load: references/PROGRESSIVE_DISCLOSURE.md Load: references/GATEWAY_PATTERNS.md Optimize existing server? → Apply mandatory patterns Load: references/MANDATORY_PATTERNS.md Package for distribution? → MCPB bundler Load: references/MCPB_BUNDLING.md Execute: scripts/create_mcpb.py Need FastMCP documentation? → Search references/LLMS_TXT.md for relevant URLs → Use web_fetch on gofastmcp.com URLs ``` ## Mandatory Patterns (Summary) Four critical requirements for ALL implementations: 1. **uv (never pip)** - `uv pip install fastmcp` 2. **Optimized tool descriptions** - Annotations, Annotated, concise docstrings 3. **Authoritative documentation** - Fetch from gofastmcp.com via LLMS_TXT.md index 4. **Apply all patterns** - Every implementation meets verification checklist Details in [references/MANDATORY_PATTERNS.md](references/MANDATORY_PATTERNS.md) ## Documentation Retrieval Workflow **To fetch FastMCP documentation:** ``` 1. Read references/LLMS_TXT.md - complete URL index 2. Search for relevant topic keywords 3. Use web_fetch on matched URLs (append .md for markdown) 4. Apply patterns from fetched documentation ``` **Example:** Authentication patterns → Search LLMS_TXT.md for "authentication" → web_fetch https://gofastmcp.com/servers/auth/authentication.md ## Progressive Disclosure Pattern For servers with 5+ capabilities: **Three-tier loading:** 1. Metadata (~20 tokens/capability) - Always loaded 2. Content (~500 tokens) - Load on demand 3. Execution (0 tokens) - Execute without loading Achieves 85-93% baseline reduction. See [references/PROGRESSIVE_DISCLOSURE.md](references/PROGRESSIVE_DISCLOSURE.md) ## Implementation Phases ### Phase 1: Research Read LLMS_TXT.md → Find relevant URLs → web_fetch documentation ### Phase 2: Implement Load appropriate reference based on architecture decision. Apply all four mandatory patterns. ### Phase 3: Package (Optional) ```bash cd /home/claude zip -r server-name.mcpb manifest.json server.py README.md cp server-name.mcpb /mnt/user-data/outputs/ ``` See [references/MCPB_BUNDLING.md](references/MCPB_BUNDLING.md) for manifest format. ## Reference Library **Documentation index (load first for FastMCP knowledge):** - [LLMS_TXT.md](references/LLMS_TXT.md) - Complete FastMCP v2 documentation URLs **Core patterns:** - [MANDATORY_PATTERNS.md](references/MANDATORY_PATTERNS.md) - Four critical requirements - [PROGRESSIVE_DISCLOSURE.md](references/PROGRESSIVE_DISCLOSURE.md) - Architecture for 5+ capabilities **Implementation:** - [GATEWAY_PATTERNS.md](references/GATEWAY_PATTERNS.md) - Three production-ready implementations - [MCPB_BUNDLING.md](references/MCPB_BUNDLING.md) - Packaging and distribution **Scripts:** - `scripts/create_mcpb.py` - Bundle MCP servers into .mcpb files ## Verification Checklist Before completing any FastMCP implementation: ``` ✓ Uses uv (not pip) ✓ FastMCP docs fetched from LLMS_TXT.md URLs (not web_search) ✓ Tool annotations (readOnlyHint, title, openWorldHint) ✓ Annotated parameters with Field ✓ Single-sentence docstrings ✓ 65-70% token reduction vs verbose ✓ Server instructions concise (<100 chars) ``` For gateway implementations, additionally verify: ``` ✓ 85%+ baseline context reduction ✓ Discover returns metadata only ✓ Load fetches content on demand ✓ Execute runs without context cost ``` ## Tool Description Pattern **Before (180 tokens):** ```python @mcp.tool() async def search_items(query: str): """Search for items in the database. This tool allows comprehensive searching...""" ``` **After (55 tokens):** ```python @mcp.tool( annotations={"title": "Search", "readOnlyHint": True, "openWorldHint": False} ) async def search_items( query: Annotated[str, Field(description="Search text")], ctx: Context = None ): """Search items. Fast full-text search across all fields.""" ``` ## Common Pitfalls ❌ Using `mcpb pack` CLI (causes crashes, just use `zip`) ❌ Using pip instead of uv ❌ web_search for FastMCP docs (use web_fetch on LLMS_TXT.md URLs) ❌ Verbose tool descriptions ❌ Missing tool annotations ❌ Gateway for 1-3 tools (overhead exceeds benefit) ❌ Mixing unrelated capabilities in single gateway