What is mcp_input_analyzer?
mcp_input_analyzer is an open-source library designed to analyze user-described build features such as databases, API integrations, and tools. It extracts core server requirements including resources, tools, prompts, external systems, and transports needed for the Microservices Configuration Platform (MCP).
How to use mcp_input_analyzer?
To use mcp_input_analyzer, install it via pip with Python 3.6+ or clone the repository and install from source. You can then initialize the analyzer with a description of your build features and call its methods to extract requirements or generate structures.
Key features of mcp_input_analyzer?
- Natural language to structured build feature extraction
- MCP-compliant input structure generation
- Validation of supported tools and protocols
- Creation of Claude-readable JSON definitions
- Fallback logic for unsupported features
Use cases of mcp_input_analyzer?
- Analyzing project requirements for microservices.
- Generating structured input for MCP platforms.
- Validating tool compatibility for server configurations.
FAQ from mcp_input_analyzer?
- Can mcp_input_analyzer handle all types of build features?
Yes! It is designed to analyze a wide range of build features including databases and APIs.
- Is mcp_input_analyzer free to use?
Yes! It is an open-source library available for everyone.
- How can I contribute to mcp_input_analyzer?
You can contribute by opening issues or submitting pull requests on the GitHub repository.