SmitheryListedTier: verified

reportflow-mcp

An MCP (Model Context Protocol) server that turns your ReportFlow templates into PDF reports — invoices, contracts, statements, anything you've designed — straight from Claude or any other MCP-compatible AI agent. What it does Generate PDFs from natural-language requests like "create an invoice for Acme Corp totalling $300" Expose your ReportFlow designs and their parameter schemas directly to the AI as MCP Resources Bulk-generate many PDFs and download them as a single ZIP Save outputs to whichever workspace folder the user is currently in (Claude Desktop / Claude Code / Cursor / VS Code all supported) Setup Claude Desktop / Claude Code / Cursor Add the following to your config file (.mcp.json, claude_desktop_config.json, ~/.cursor/mcp.json, etc.): { "mcpServers": { "reportflow": { "command": "npx", "args": ["-y", "reportflow-mcp"] } } } That's the whole setup. No env vars, no API keys, no secrets to manage. VS Code (MCP-enabled builds) Same JSON in .vscode/mcp.json. Requirements Node.js 18+ (auto-fetched by npx) A local environment with a browser (only required during the first login) A ReportFlow account Usage 1. First-run authentication After reloading the MCP client, ask the AI: Authenticate with ReportFlow A browser window opens. Sign in → pick a workspace → consent, and you're done. Tokens are stored in your OS keychain (macOS Keychain / Windows Credential Manager / Linux libsecret) and refreshed automatically. 2. Generate a PDF Natural language (easiest) Using the invoice template, create a PDF for Acme Corp totalling $330. The AI will look up the template via list_templates, fetch its parameter schema with get_design_parameters, fill in the values, and call generate_pdf_sync — returning a local file path. Slash commands Command Purpose /generate_pdf Step-by-step recipe for a single PDF /generate_pdfs Recipe for batch PDF generation /reportflow_help Quick feature tour 3. Where files are saved Output location is resolved in this order: Explicit instruction from the user (e.g. "save to my Desktop") The currently-open workspace root (Claude Code / Cursor / VS Code) The OS temp directory as fallback Reference Tools (called by the AI) Tool Purpose authenticate First-time / re-authentication list_templates List available designs get_design_parameters Fetch the parameter schema for a design generate_pdf_sync / _async Generate one PDF (sync returns path; async returns request ID) generate_pdfs_sync / _async Generate many PDFs (returns a ZIP) download_file / download_zip Download artifacts produced by async tools suggest_params Translate a natural-language brief into a params JSON via MCP Sampling (requires a Sampling-capable client) Resources (attachable as AI context) URI Contents reportflow://designs List of available designs reportflow://designs/{designId}/parameters Parameter schema for one design reportflow://errors Catalog of error messages from the Content Service reportflow://server-info Server feature overview Prompts (slash-command recipe cards) /generate_pdf, /generate_pdfs, /reportflow_help — pass arguments and the AI follows the prepared workflow. Troubleshooting Symptom Fix Error containing re-authentication required Ask the AI: "re-authenticate with ReportFlow" npx cannot find the package npm cache clean --force then retry No keychain available on Linux Falls back automatically to a chmod-0600 file under $XDG_STATE_HOME/reportflow-mcp/ Browser cannot open over SSH / remote shell Authenticate once on a local machine; afterwards the cached token works on remote hosts License MIT — see LICENSE. Links ReportFlow: https://re-port-flow.com npm: https://www.npmjs.com/package/reportflow-mcp Issues: https://github.com/re-port-flow/reportflow-mcp/issues

First seen 2 Oct 2026. Evidence as of 5 Oct 2026.