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PDF Manipulation

This MCP PDF Tools server, developed by hanweg, provides AI assistants with PDF manipulation capabilities. Built using Python and leveraging libraries like PyPDF2, it offers tools for merging PDFs, extracting pages, and finding related documents based on content similarity. The server implements file system operations and text extraction to enable advanced PDF management. By abstracting the complexities of PDF handling, it allows AI systems to easily perform document operations. This implementation is particularly useful for document management, research, and information retrieval tasks, enabling use cases such as compiling reports, organizing research papers, and automating document workflows.

Cognium trust score

65%

Tier

Scanned

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/hanweg/mcp-pdf-tools
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve PDF Manipulation 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"