pdf-reader-mcp is a local-first MCP server that enables AI agents to inspect PDFs. It extracts structured text and tables, performs OCR, provides visual evidence, and returns page-level citations for developer-built agent workflows.
pdf-reader-mcp sits in PulseGate's RAG, search & retrieval category. It focuses on giving AI agents reliable local access to PDF text, tables, OCR, visual evidence, and page-level citations. It is built as an open-source project for developers building AI agents and document-processing workflows. pdf-reader-mcp is open source under the Open Source license. pdf-reader-mcp is available on the web, the command line, and API, and it can be self-hosted.
Behind pdf-reader-mcp is SylphxAI. Among its 7 catalogued features are Structured Text, Table Extraction, and OCR. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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