Sylph Lab - Model Context Protocol (MCP) Monorepo
Monorepo for Sylph Lab Model Context Protocol (MCP) tools and servers.
Overview
What is MCP?
MCP (Model Context Protocol) is a monorepo for Sylph Lab that defines a standard way for AI models and external tools/servers to communicate, enabling models to leverage external capabilities and resources.
How to use MCP?
To use MCP, clone the repository from GitHub, install dependencies using pnpm install, and follow the instructions to build and run the desired MCP server implementations.
Key features of MCP?
- Standardized communication protocol for AI models and tools.
- Core libraries for various functionalities like filesystem, network utilities, JSON handling, and more.
- Example server implementations for easy deployment.
Use cases of MCP?
- Integrating AI models with external data sources.
- Building tools that require standardized communication with AI models.
- Developing applications that utilize various functionalities like file handling and network requests.
FAQ from MCP?
- What programming language is MCP written in?
MCP is primarily written in TypeScript.
- How can I contribute to MCP?
You can contribute by following the guidelines in the repository and submitting pull requests.
- Is there documentation available for MCP?
Yes, documentation is available in the repository and will be expanded as the project develops.
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