PDF Reader
Local MCP server that extracts text from PDF files using Docling for document conversion and pypdfium2 as the backend. Built by MLExpert.io, it provides two core tools: listing available PDF files in a data directory and converting PDF content to clean Markdown format with OCR and table structure processing disabled for faster performance. Designed for workflows where users need to quickly access and process PDF documents through AI assistants like Claude Desktop or Cursor without complex document analysis features, making it ideal for simple text extraction and document querying tasks.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/mlexpertio/mcp-pdf-reader
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve PDF Reader from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.