re-port-flow/reportflow-mcp

Overview

Lets your AI assistant turn a conversation or a set of data into a formatted PDF report, useful for turning an analysis or summary into something you can send to a client or a colleague without building the document by hand. It is an early, low-adoption project, a public mirror of another developer's tool, so test the output before relying on it for polished client-facing documents. A starting point if you want AI-generated reports as PDFs rather than plain text.

Best for

Best for
Anyone who wants an assistant's output turned into a shareable PDF report

Use cases

• Turn a data summary into a formatted PDF to send to a client
• Generate a report document from a conversation instead of building it by hand
• Produce a quick PDF for an internal update or handout
• Prototype AI-generated reporting before building a custom template

How to use

Tools exposed

• authenticate
• list_templates
• get_design_parameters
• generate_pdf_sync
• generate_pdf_async
• generate_pdfs_sync
• generate_pdfs_async
• download_file
• download_zip
• suggest_params
• reportflow_help

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, Claude.ai (web)

Example client config

{\n  "mcpServers": {\n    "reportflow": {\n      "type": "http",\n      "url": "https://mcp.re-port-flow.com/mcp"\n    }\n  }\n}

Notes

ReportFlow MCP Server is a TypeScript implementation of the Model Context Protocol for PDF report generation. It enables Claude and other AI agents to produce formatted PDF documents through a standardized tool interface. This repository is a public mirror of monepla/report-mcp.

0 stars on GitHub. Last updated 2026-06-05. Licensed MIT.

Use cases

• Generate PDF reports from structured data via Claude
• Create formatted documents as part of an AI agent workflow
• Integrate PDF output into MCP-compatible assistant applications

Pros

• Follows the MCP standard for interoperability with AI agents
• Written in TypeScript for type safety and maintainability
• Provides a dedicated PDF generation endpoint for Claude

Cons

• Zero stars indicates very early stage or low adoption
• Limited community support and documentation
• Dependent on the MCP ecosystem which is still evolving

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.