Merge pull request #4375 from meacheal-ai/main

Add MRC Data — China's apparel supply chain MCP server
This commit is contained in:
Frank Fiegel
2026-04-15 00:43:04 -06:00
committed by GitHub
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@@ -711,6 +711,7 @@ Data Platforms for data integration, transformation and pipeline orchestration.
- [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support. - [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.
- [keboola/keboola-mcp-server](https://github.com/keboola/keboola-mcp-server) 🐍 - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API. - [keboola/keboola-mcp-server](https://github.com/keboola/keboola-mcp-server) 🐍 - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API.
- [mattijsdp/dbt-docs-mcp](https://github.com/mattijsdp/dbt-docs-mcp) 🐍 🏠 - MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation. - [mattijsdp/dbt-docs-mcp](https://github.com/mattijsdp/dbt-docs-mcp) 🐍 🏠 - MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.
- [meacheal-ai/mrc-data](https://github.com/meacheal-ai/mrc-data) 📇 ☁️ - China's apparel supply chain data for AI agents. 1,000+ verified suppliers, 350+ lab-tested fabrics, 170+ industrial clusters with AATCC / ISO / GB lab-test verification.
- [meal-inc/bonnard-cli](https://github.com/meal-inc/bonnard-cli) 📇 ☁️ - Ultra-fast to deploy agentic-first MCP-ready semantic layer. Let your data be like water. - [meal-inc/bonnard-cli](https://github.com/meal-inc/bonnard-cli) 📇 ☁️ - Ultra-fast to deploy agentic-first MCP-ready semantic layer. Let your data be like water.
- [mbrummerstedt/powerbi-analyst-mcp](https://github.com/mbrummerstedt/powerbi-analyst-mcp) [![mbrummerstedt/powerbi-analyst-mcp MCP server](https://glama.ai/mcp/servers/mbrummerstedt/powerbi-analyst-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mbrummerstedt/powerbi-analyst-mcp) 🐍 ☁️ - Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV. - [mbrummerstedt/powerbi-analyst-mcp](https://github.com/mbrummerstedt/powerbi-analyst-mcp) [![mbrummerstedt/powerbi-analyst-mcp MCP server](https://glama.ai/mcp/servers/mbrummerstedt/powerbi-analyst-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mbrummerstedt/powerbi-analyst-mcp) 🐍 ☁️ - Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV.
- [Osseni94/keyneg-mcp](https://github.com/Osseni94/keyneg-mcp) 🐍 🏠 - Enterprise-grade sentiment analysis with 95+ labels, keyword extraction, and batch processing for AI agents - [Osseni94/keyneg-mcp](https://github.com/Osseni94/keyneg-mcp) 🐍 🏠 - Enterprise-grade sentiment analysis with 95+ labels, keyword extraction, and batch processing for AI agents