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Simplifies MCP service discovery and usage within Claude Desktop by listing available services for easy copying.
Enables access to the YouTube Translate API for obtaining transcripts, translations, and summaries of YouTube videos.
Enhances the reliability of interactions between Large Language Models (LLMs) and tools, especially MCP servers, by providing a structured, validated, and controllable communication layer.
Provides filesystem operations with controlled access to specified directories via a secure Model Context Protocol (MCP) server.
Exposes files in a workspace as individual, addressable resources using the Model Context Protocol (MCP).
Manages and configures MCP servers using a JSON configuration file.
Enables Large Language Models to interact with Didlogic services through a standardized Model Context Protocol interface.
Enables Copilot Studio to utilize Google Search results via an MCP server built with the MCP SDK for C# and .NET.
Provides real-time access to transportation information from Singapore's Land Transport Authority (LTA) DataMall API.
Facilitates interaction with Model Control Protocol (MCP) servers using Server-Sent Events (SSE) in Python.
Provides transcripts from a YouTube playlist through an experimental MCP server.
Exposes YouTube summarization APIs as tools compatible with the MCP (Meta-Control Protocol).
Enables calling iFlytek workflows through Model Context Protocol (MCP) tools.
Integrate Smallest.ai's knowledge base management system using the Model Context Protocol.
Configure Claude settings for Model Context Protocol (MCP) servers through a simple graphical user interface.
Enables interaction with a Notion workspace through Claude and other LLMs.
Integrates Vapi's voice AI capabilities with the Cursor editor via a Model Context Protocol server.
Facilitates command-line interaction with LLMs, supporting MCP.
Aids novelists, report writers, and others working with long-form content in drafting, revising, and finalizing written material.
Enhances Claude's web search capabilities using Perplexity's API, offering intelligent model selection, domain filtering, and recency control.
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