A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
Enables Claude Code to perform programmatic tool calling by executing Python scripts that interact with multiple MCP servers in a single round-trip. This reduces latency and token consumption by keeping intermediate tool results within the local Python runtime instead of the conversation context.
Enables execution of TypeScript code to call MCP tools instead of direct tool calls, reducing token usage by up to 98% while orchestrating complex multi-tool workflows through secure sandboxed code execution.
Enables AI assistants to read, build, and edit 247afk scripts in real-time through a local WebSocket bridge. It allows for live manipulation of block editor content directly within the browser.
Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.
A FastMCP tool that enables control of Spotify through natural language commands in Cursor Composer, allowing users to manage playback, search for content, and interact with playlists.
A bridge between Figma designs and React implementations that enables pixel-perfect conversion of Figma designs into React applications by processing Figma file data into React-friendly format.
Enables pattern-based file editing operations using copy/paste functionality with text landmarks instead of exact string matching. Allows AI agents to efficiently manipulate file content by identifying code patterns and insertion points without consuming large amounts of context tokens.
A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools, including example operations and simple number addition functionality.
Provides reasoning content to MCP-enabled AI clients by interfacing with Deepseek's API or a local Ollama server, enabling focused reasoning and thought process visualization.
Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.
Enables LLMs to interact with MCP servers by writing TypeScript/JavaScript code instead of direct tool calls. Provides a code execution sandbox that accesses MCP servers through HTTP proxy endpoints.