doc-extract-mcp
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- FlicenseNot gradedqualityBmaintenanceEnables deterministic extraction and validation of structured JSON data from inputs using a defined schema. It plugs into MCP-compatible clients like Claude Desktop, Cursor, and Windsurf to return standardized, schema-validated results.7-
- FlicenseNot gradedqualityBmaintenanceEnables agents to deterministically extract structured entities from input payloads and validate or coerce them against JSON schemas, returning a standardized response dossier with execution telemetry. It runs as a zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP clients.7-
- FlicenseNot gradedqualityBmaintenanceEnables reading entire PDF documents into validated structured JSON, including tables, key-values, and markdown, with read-only extraction tools and layout reconstruction.-
- FlicenseAqualityCmaintenanceEnables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.91-
- AlicenseNot gradedqualityCmaintenanceProvides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.30 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.-
TDQS
Scored across 6 tools
Each tool serves a distinct purpose: listing, reading, metadata, chunking, validation, and saving. No overlap; even read_document and chunk_document are clearly differentiated (full content vs. splitting for context). The separation is clean and unambiguous.
Most tools follow a consistent verb_noun pattern (list_documents, read_document, chunk_document, validate_json, save_structured). The exception is document_info, which uses a noun_noun form instead of get_document_info, creating a minor deviation from the otherwise predictable scheme.
Six tools is an appropriate, well-scoped count for a document extraction server. Each tool covers a necessary step in the extraction workflow without redundancy or bloat.
The tool set provides a complete lifecycle for document extraction: discovering files (list), retrieving content (read), obtaining metadata (info), handling long documents (chunk), validating structured output (validate), and persisting results (save). No obvious gaps; the scope is tightly defined and fully covered.