Unstructured Document Processor MCP
Public
Provides Model Context Protocol capabilities for extracting and processing content from a wide range of unstructured document formats to enhance large language model integration and understanding.
python
Provides Model Context Protocol capabilities for extracting and processing content from a wide range of unstructured document formats to enhance large language model integration and understanding.
Unlock the full potential of Unstructured Document Processor MCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.
Free tier available • No credit card required
S3 bucket used as a source of documents in the processing workflow
AWS access key for authentication
Discover shared experiences
S3 bucket used as a destination for processed documents
API key for Unstructured Platform
AWS secret key for authentication
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!
Provides Model Context Protocol (MCP) integration enabling large language models to perform advanced...
Enables Model Context Protocol integration for efficient, version-specific search of MkDocs-powered ...
A TypeScript-based Model Context Protocol server enabling creation, access, and summarization of tex...
Enables seamless integration between Large Language Model clients and Readwise by providing standard...
Enhance Claude Desktop with seamless GitHub integration via Model Context Protocol, enabling natural...