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Extract text, images, tables, links, and metadata from PDF files.
This appears to be an open-source PDF parsing MCP tool from an official registry entry, with no required credentials and no declared remote endpoints, so overall risk is relatively low. It still runs as a local MCP service and reads user-provided PDF content, so normal caution is warranted for code execution and data access.
The material explicitly states that no keys or environment variables are required. No API tokens, account credentials, or other sensitive secrets are requested, so credential exposure and misuse risk appears low.
The material declares no remote endpoints. The description is limited to extracting text, images, tables, links, annotations, and metadata from PDFs, with no evidence that user data is sent to external services.
The system flags that this MCP executes code. As an MCP service, it typically runs a local process and handles file inputs. This is a normal capability for such tools, and the provided material shows no red flags such as unusual system privileges or unrelated execution behavior.
Its stated function requires reading user-specified PDF files and extracting text, images, tables, links, annotations, and metadata, so it will access document contents. The material does not show broad file access or write permissions beyond what is needed for PDF processing.
The source is an official registry entry and has a public open-source repository with updates in the last year, which are positive signals that reduce risk. However, the README is absent, the license is undeclared, and community adoption is very low (0 stars), so audit context and maturity remain limited; reviewing the source and dependencies before installation is advisable.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "PDF Reader" MCP server from askskill: Run: claude mcp add 'io-github-xvvln-pdf-reader-mcp' -- npx -y pdf-insight-mcp
Read this PDF, extract the full text, and list all tables by page while preserving headers and original page numbers.
The output includes the full paper text and page-organized table data for further analysis or organization.
Analyze this contract PDF, extract hyperlinks, annotations, and document metadata, and organize them into a structured list.
The output is a structured list of links, annotation contents, and metadata for review and archiving.
Extract all images from this PDF and summarize metadata such as title, author, and creation date.
The output includes separate image assets and a metadata summary for asset management and retrieval.
A fast MCP tool for reading, parsing, and processing PDF documents.
Lets AI inspect PDF text layers, outlines, and page content locally.
Extract text, images, and tables from PDFs with multilingual analysis.
Read PDFs with citeable page and bounding-box evidence for precise answers.
Turn PDFs into source-linked, card-based HTML readers for easier study and navigation.
Extract images from PDF and Word files for reuse, review, and analysis.