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re-port-flow/reportflow-mcp

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ReportFlow MCP Server - PDF report generation for Claude and AI agents (public publish mirror of monepla/report-mcp)

R

MCP

re-port-flow/reportflow-mcp

Added 11 June 2026

#ai-agent #anthropic #claude #mcp #mcp-server #model-context-protocol #pdf-generation #reportflow

Overview

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.

Best for

Best for
Developers building AI agents that need to produce PDF reports programmatically

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

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.

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

Pairs with

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