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Merged
domdomegg merged 2 commits into from
Sep 12, 2025
Merged

Add ToolGroups Server #2699

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9c36bbb
Update README.md to add MCPToolGroup example servers
cliffhall Sep 5, 2025
ee1b71c
Merge branch 'modelcontextprotocol:main' into mcptoolgroup
scottslewis Sep 9, 2025
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -893,6 +893,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[mcp-screenshot-website-fast](https://github.com/just-every/mcp-screenshot-website-fast)** - High-quality screenshot capture optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks (1.15 megapixels) with configurable viewports and wait strategies for dynamic content.
- **[mcp-server-leetcode](https://github.com/doggybee/mcp-server-leetcode)** - Practice and retrieve problems from LeetCode. Automate problem retrieval, solutions, and insights for coding practice and competitions.
- **[Mcp-Swagger-Server](https://github.com/zaizaizhao/mcp-swagger-server)** (by zaizaizhao) - This MCP server transforms OpenAPI specifications into MCP tools, enabling AI assistants to interact with REST APIs through standardized protocol
- **[MCP Dynamic Tool Groups](https://github.com/ECF/MCPToolGroups)** - Example MCP servers that use [annotated](https://github.com/spring-ai-community/mcp-annotations) Java interfaces/classes as 'tool groups'. Using standard MCP annotations, service implementations can then, at runtime, be used to generate tool specifications, and then dynamically added or removed from MCP servers. The functionality is demonstrated in a sample tool group, but can be similarly used for any API or service.
- **[mcp-vision](https://github.com/groundlight/mcp-vision)** - An MCP server exposing HuggingFace computer vision models such as zero-shot object detection as tools, enhancing the vision capabilities of large language or vision-language models.
- **[mcp-weather](https://github.com/TimLukaHorstmann/mcp-weather)** - Accurate weather forecasts via the AccuWeather API (free tier available).
- **[mcp-youtube-extract](https://github.com/sinjab/mcp_youtube_extract)** - A Model Context Protocol server for YouTube operations, extracting video information and transcripts with intelligent fallback logic. Features comprehensive logging, error handling, and support for both auto-generated and manual transcripts.
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