pulsemcp Safe content atomic mcp-remote

PDF Reader

MCP PDF Reader provides a server for extracting and processing content from PDF documents. Built using FastMCP and PyMuPDF (fitz), it offers three main tools: reading normal text from PDFs page by page, extracting text using OCR with language and resolution options, and retrieving images from specific pages in base64 format. The server maintains a directory for PDF resources and implements caching to improve performance. It's particularly valuable for AI assistants that need to analyze, search, or extract information from PDF documents without handling the complexities of PDF parsing directly.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/deepseekmine/mcp-pdf-reader
Author type: human
Updated: 2026-04-25

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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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"