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Why this server?
A simpler API to interact with the Model Context Protocol, allowing users to define custom tools and services.
Why this server?
Facilitates invocation of AI models from providers like Anthropic, OpenAI, and Groq.
Why this server?
A comprehensive MCP server offering secure and standardized data and functionality exposure to LLM applications.
Why this server?
Provides Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities.
Why this server?
A foundation for creating custom Model Context Protocol servers that can integrate with AI systems.
Why this server?
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
Why this server?
A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools.
Why this server?
An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving.
Why this server?
A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.
Why this server?
A plugin that allows Dify to connect to multiple MCP servers using HTTP with Server-Sent Events transport.