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Empowers AI assistants to securely execute code in blazing-fast, isolated cloud containers across multiple programming languages.
Dynamically generate visual charts and diagrams using Apache ECharts with AI-powered capabilities for data analysis.
Facilitates AI coding agents in generating Flutter code by providing rich design data directly from Figma.
Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.
Enables access to blockchain interactions, swaps, staking, and crypto trading strategies for AI agents.
Provides persistent, searchable local memory for AI assistants, LLMs, and Copilot within VS Code.
Integrate Universal Tool Calling Protocol (UTCP) capabilities directly into the Model Context Protocol (MCP) ecosystem through a versatile, all-in-one server.
Enables coding agents to write, run, and maintain integration tests for various data resources, APIs, and customer journeys.
Empowers AI assistants to programmatically interact with Power BI models, enabling them to read model structures, execute DAX queries, and manage various model components through natural language.
Enables Claude to interact with ServiceNow instances by providing a Model Completion Protocol server implementation.
Builds Model Context Protocol (MCP) servers elegantly using a TypeScript framework.
Provides access to Polygon.io financial market data via a Model Context Protocol (MCP) server, enabling LLMs to retrieve real-time and historical market information.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.
Enables Dify 1.0 to fetch and call tools via the MCP protocol using HTTP with SSE transport.
Manages personal knowledge, daily notes, and reusable prompts through GitHub Gists, accessible via MCP-enabled AI products.
Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.
Provides line-oriented text file editing capabilities through a standardized Model Context Protocol (MCP) API.
Connects to a locally running Anki to provide card review and creation capabilities.
Implements Claude Code's software engineering capabilities as a Model Context Protocol (MCP) server.
Executes Python code in a secure, sandboxed environment using an MCP server.
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