doc-extract-mcp is a Python MCP server that gives AI assistants deterministic tools for reading PDF and text files, chunking documents, validating data against JSON Schema, and producing structured output. It is designed for developers who need path-confined, tested document-processing capabilities in agent workflows.
doc-extract-mcp sits in PulseGate's Frameworks & runtimes category. It focuses on giving AI assistants reliable, path-confined tools for reading, chunking, validating, and structuring documents. doc-extract-mcp is an open-source project aimed at developers building AI assistants and MCP integrations. It ships for the command line, and it can be self-hosted.
Koray Nar builds and maintains doc-extract-mcp. Among its 6 catalogued features are PDF Reading, Text Reading, and Document Chunking. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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