Extract text, metadata, images, and table of contents from PDF files via MCP. For developers building document processing pipelines, search tools, or content extraction workflows.
io.github.Libres-coder/parseflow
Local install
STDIO
No auth required
How models use it and what it is built for.
Extract text, metadata, images, and table of contents from PDF files via MCP. For developers building document processing pipelines, search tools, or content extraction workflows.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Libres Coder Parseflow.
Paste any of these into Agent Studio after connecting Libres Coder Parseflow.
Common questions about connecting and running Libres Coder Parseflow.
What PDF capabilities does parseflow-mcp-server support?
The server extracts text, metadata, images, and table of contents from PDFs. It also supports full-text search across PDF documents to locate specific terms and their page positions.
How do I install and run parseflow-mcp-server?
Install via npm with `npx parseflow-mcp-server@1.0.2`. The server runs over stdio transport, so it integrates directly with MCP clients that support standard input/output communication.
Can I search within PDFs using this server?
Yes, the server includes search functionality that lets you find text within PDFs and returns matching page numbers and positions, useful for building document search features.
What file formats does parseflow support?
The server is specifically designed for PDF parsing. Check the documentation or GitHub repository for details on supported PDF versions and any format limitations.
How do I extract images from PDFs with this server?
The server has built-in image extraction capabilities that identify and extract images embedded in PDFs. Refer to the MCP resource/tool definitions for the exact image output format and metadata available.
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