PDF.co
PDF.co MCP server implementation that provides AI assistants with comprehensive access to PDF.co's cloud-based document processing API through 30+ tools covering PDF conversion, manipulation, form handling, security, and AI-powered extraction. Built by PDF.co using Python with FastMCP and async HTTP clients, the implementation supports bidirectional PDF conversions (to/from JSON, CSV, Excel, HTML, images), document operations like merging and splitting, form field reading and filling, password protection, OCR-based searchable PDF creation, and AI invoice parsing. The server includes job management tools for handling asynchronous operations, file upload capabilities for local document processing, and supports all major PDF.co API endpoints with comprehensive parameter coverage including authentication, page selection, coordinate-based extraction, and output formatting options, making it valuable for document automation workflows, data extraction pipelines, and AI applications requiring robust PDF processing capabilities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/pdfdotco/pdfco-mcp
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve PDF.co 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.