MCP Input Analyzer

What is mcp_input_analyzer?

mcp_input_analyzer is an open-source Python library that analyzes user‑described build features (databases, API integrations, tools) and extracts core server requirements—such as resources, tools, prompts, external systems, and transports—for MCP (Microservices Configuration Platform). It converts free‑form text descriptions into structured, MCP‑compliant input definitions.

How to use mcp_input_analyzer?

Install via pip: pip install mcp-input-analyzer (requires Python 3.6+). Import the MCPAnalyzer class, initialize it with a description string and optional fallback_behavior parameter, then call methods like extract_requirements(), generate_mcp_structure(), or create_claude_json() to obtain the desired output.

Key features of mcp_input_analyzer

• Natural language to structured build feature extraction
• MCP‑compliant input structure generation
• Validation of supported tools and protocols
• Claude‑readable JSON definition creation
• Fallback logic for unsupported build features

Use cases of mcp_input_analyzer

• Automatically generating MCP server configurations from feature descriptions
• Translating team requirements into structured dependency definitions
• Creating Claude‑compatible JSON inputs for downstream processing
• Validating whether specified tools and protocols are supported