AgenticMarketAn MCP server for document understanding using vision LLMs. Use extract_document to pull text from PDFs and images via OCR. Use classify_document to categorize documents by type (invoice, report, contract, etc.). Use summarize_document to generate structured summaries. Built for document-heavy workflows in legal, finance, and research domains.
document_intel
Intelligent document processing — extract text, classify by type, and generate structured summaries from PDFs and images.
Related Modules
damn-memory
Decentralized AI Memory Network — persistent, cross-session memory for AI agents stored on IPFS via Pinata. Store, retrieve, and search memories that survive context resets. MCP-compatible.
@rk8055ai-ml
lexicon--comparison-intelligence-engine
Compare any two companies, products, policies, or people using 20 live sources. Applies SWOT, PESTLE, and Porter Five Forces and returns a structured verdict with citations.
@nadineai-ml
freschcontext-mcp
Temporal correction layer for AI retrieval. FreshContext wraps every signal with source, timestamp, and confidence metadata, then re-ranks results by freshness decay so agents stop citing outdated docs with full confidence.
@princegabriel73ai-ml
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Install this server now, validate compatibility in playground, or publish your own server to the marketplace.