Sol_mcp_server_typescript
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The Todo MCP Server is a sample project demonstrating how to build a Model Context Protocol (MCP) server for managing a to-do list, enabling AI agents to interact with to-do functionalities through a structured interface.
The Todo MCP Server acts as a bridge between AI models and to-do list functionalities, exposing these capabilities as tools that AI can understand and use. It provides structured interaction, tool discovery, extensibility, and abstraction, allowing AI to interact with to-do functionalities without needing to know the underlying implementation details. Built with the FastMCP TypeScript library, it simplifies the creation of MCP-compliant servers. The server interacts with an existing RESTful Todo API, orchestrating AI requests and API responses, and exposing tools like add_todos, search_todos, update_todos, and remove_todos. This design allows existing Todo API functionalities to be exposed to AI agents in a standardized way through the MCP protocol.
Features
- Structured Interaction: Provides a standardized way for AIs to understand how to call functions, what parameters they need, and what responses to expect.
- Tool Discovery: Allows AI to query the MCP server to discover available tools and how to use them.
- Extensibility: Easily add new functionalities to the MCP server, allowing AI to gain new capabilities without retraining.
- Abstraction: Abstracts away underlying implementation details, presenting a clean interface to AI.
- Integration with Existing APIs: Acts as an intermediary, calling an existing RESTful Todo API to perform actions.
Tools
add_todos
Add to do
search_todos
Search for To-Do
update_todos
Update to do
remove_todos
Delete to-do items
