MCPs tagged with contextual AI
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DoorDash MCP Server
Integrate DoorDash API with MCP-compatible AI clients.
DoorDash MCP Server enables seamless integration between the DoorDash API and Model Context Protocol (MCP) compatible clients such as Claude Desktop, Windsurf, and Cursor. It provides an easy setup process to compile and build the server using TypeScript and Node.js, offering users a JSON configuration to connect with MCP clients. The server supports API key configuration for secure access. Direct support and feedback channels are available for users requiring assistance.
- ⭐ 14
- MCP
- JordanDalton/DoorDash-MCP-Server
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PostHog MCP
Easily deploy and manage Model Context Protocol servers across multiple platforms.
PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.
- ⭐ 138
- MCP
- PostHog/mcp
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TSGram MCP
Bring Claude Code AI to Telegram via local Model Context Protocol server.
TSGram MCP connects Claude Code sessions with Telegram using a local server and Docker, enabling AI-powered code assistance within Telegram chats. It allows users to query, edit, and manage codebases directly from their mobile devices, while keeping all data local for privacy. The setup process is streamlined with support for both AI-guided and CLI-based installation, making integration with existing projects simple. A local web dashboard aids in bot management, ensuring secure and efficient context handling between user code and language models.
- ⭐ 90
- MCP
- areweai/tsgram-mcp
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PersonalizationMCP
A unified personal data hub enabling AI assistants with rich contextual personalization across platforms.
PersonalizationMCP is a unified personal data hub built on the Model Context Protocol (MCP) standard. It consolidates data from various digital platforms such as Steam, YouTube, Bilibili, Spotify, and Reddit, providing AI assistants with enriched contextual access to user activity and preferences. By integrating multiple OAuth2-powered services, it allows for personalized, context-aware interactions and automated context management features. The tool offers seamless token management, support for a wide range of user data, and is suitable for enhancing personalized AI experiences.
- ⭐ 22
- MCP
- YangLiangwei/PersonalizationMCP