by PSPDFKit · MCP Server · ★ 59
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Nutrient Document Engine MCP Server Connect AI agents to document processing. This MCP server exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling. Example Conversations Once configured, you (or your agent) can interact with documents through natural language: You: "What documents do I have available?" AI: "I can see you have 3 documents: annual-report.pdf, contract-draft.pdf, and tax-form-2023.pdf. Would you like me to analyze any of these?" You: "Extract all the names and phone numbers from these invoices" AI: "I found 12 contacts: John Smith (555-0123), Sarah Johnson (555-0456)..." You: "Redact all social security numbers from these tax forms" AI: "I've identified and redacted 3 SSNs across 2 documents. The redacted versions are ready." You: "Split this 50-page contract into separate sections" AI: "I've split the contract into 5 sections: Terms (pages 1-8), Payment (pages 9-15)..." Setup with Claude Desktop  server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.. It is categorized as a MCP Server with 59 GitHub stars.
nutrient-document-engine-mcp-server is primarily written in TypeScript. It covers topics such as agentic-ai, document-processing, document-processor.
You can find installation instructions and usage details in the nutrient-document-engine-mcp-server GitHub repository at github.com/PSPDFKit/nutrient-document-engine-mcp-server. The project has 59 stars and 3 forks, indicating an active community.
nutrient-document-engine-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
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