opendatalab/MinerU-Ecosystem

Overview

A collection of MCP (Model Context Protocol) servers for the MinerU ecosystem, enabling AI agents to interact with MinerU functions. The Python project provides modular server implementations that expose MinerU capabilities through a standardized protocol interface.

Best for

Best for
Developers building AI agents that need standardized access to MinerU data processing capabilities

Use cases

• Exposing MinerU data processing tools as MCP endpoints for AI assistants
• Building custom workflows that chain MinerU functions with other MCP servers
• Integrating MinerU into MCP-compatible clients and agent frameworks

How to use

Install

pip install mineru-open-sdk

Tools exposed

• parse_documents
• get_ocr_languages
• clean_logs
• MINERU_API_TOKEN
• OUTPUT_DIR
• ENABLE_LOG
• MINERU_LOG_DIR
• RAG-Anything

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf

Notes

A collection of MCP (Model Context Protocol) servers for the MinerU ecosystem, enabling AI agents to interact with MinerU functions. The Python project provides modular server implementations that expose MinerU capabilities through a standardized protocol interface.

105 stars on GitHub. Last updated 2026-05-11. Licensed Apache-2.0.

Use cases

• Exposing MinerU data processing tools as MCP endpoints for AI assistants
• Building custom workflows that chain MinerU functions with other MCP servers
• Integrating MinerU into MCP-compatible clients and agent frameworks

Pros

• Clean modular design makes it easy to add or modify server components
• Lightweight Python implementation with low overhead
• Plugs into the growing MCP ecosystem for standardized agent tool integration

Cons

• Relatively early stage with low community adoption and few contributors
• Documentation is limited to the repository; external resources sparse
• Requires familiarity with the MCP protocol to use effectively

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.