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Provides a comprehensive Model Context Protocol server for market sizing, TAM/SAM calculations, and in-depth industry research.
Provides ready-to-run templates for quickly building MCP servers in Python and TypeScript.
Enables programmatic management of Gmail and Google Calendar functionalities through a Model Context Protocol (MCP) interface.
Inspects messages exchanged between an MCP client and server via a web interface.
Enables AI models to interact with Notion's API for advanced todo management and content organization.
Analyzes performance through a dual-perspective actor-critic methodology using the Model Context Protocol (MCP).
Automates local development environment management using Large Language Models (LLMs).
Manages Tempo worklogs within Jira through an MCP interface.
Generates UML diagrams from natural language descriptions or PlantUML code.
Enables object detection, segmentation, classification, and real-time camera analysis within Claude AI using YOLO models.
Enables bidirectional Model Context Protocol (MCP) proxying between standard input/output (stdio) and Server-Sent Events (SSE).
Enhances AI tool capabilities by leveraging Gemini's large context window for context management and caching.
Converts an MCP server to a GPT actions compatible API.
Provides a standardized interface for accessing and managing HubSpot CRM data using the Model Context Protocol.
Enables AI assistance to interact with and modify PowerPoint and Excel files through Model Context Protocol.
Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in Python.
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.
Provides a standardized interface for accessing and manipulating biomedical data for BioThings.io.
Enables Cheat Engine-like memory manipulation for MCP.
Automates trading operations on the Zerodha platform using a natural language interface.
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