PDF Report Generator

pdf-report-generator

An MCP server that generates professional corporate PDF reports from structured JSON specs or raw LLM text output. Drop it into Claude Desktop (or any MCP client) and ask Claude to turn analysis, research, or meeting notes into a polished multi-page report complete with cover page, table of contents, executive summary, section headings, tables, and charts.

A sample output is at examples/sample_report.pdf.

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Prerequisites

• Node.js 18+
• Python 3.8+

Install Python dependencies:

pip install reportlab matplotlib

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Claude Desktop configuration

Add to your claude_desktop_config.json:

{

"mcpServers": { "pdf-report": { "command": "npx", "args": ["-y", "pdf-report-generator"] } } }

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Available tools

generate_report

Generates a PDF from a full structured spec.

Minimal example input:

{

"spec": { "metadata": { "title": "Q3 Performance Review", "author": "Engineering Team", "company": "Acme Corp", "classification": "INTERNAL" }, "executive_summary": "Overall performance improved this quarter...", "sections": [ { "heading": "Infrastructure", "body": "Uptime reached 99.94%...", "subsections": [] } ], "tables": [], "charts": [] } }

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generate_report_from_text

Converts raw text into a structured PDF report. Sections are auto-detected from headings.

{

"text": "# Overview\nThis quarter...\n\n# Key Findings\n...", "title": "Q3 Summary", "author": "Data Team", "company": "Acme Corp", "classification": "INTERNAL", "theme_name": "navy" }

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list_themes

Returns available color themes: default, navy, charcoal, forest, burgundy.

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JSON spec reference

metadata

title* string subtitle string author string date string (YYYY-MM-DD; defaults to today) company string department string document_id string (e.g. RPT-2026-001) classification string (PUBLIC | INTERNAL | CONFIDENTIAL) logo_path string (absolute path to PNG/JPG) page_size "letter" | "a4"

executive_summary string

sections[] heading* string body* string (\n\n = paragraph break) subsections[] heading* string body* string

tables[] title string headers* string[] rows* string[][] after_section int (0-based section index; -1 = after exec summary)

charts[] title string type "bar" | "line" | "pie" | "horizontal_bar" labels* string[] datasets* [{label, values[]}] after_section int

images[] path* string (absolute path) caption string width_inches number after_section int

theme primary_color [R, G, B] accent_color [R, G, B] highlight_color [R, G, B]

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Example prompts

• "Turn this analysis into a professional internal PDF report titled 'Q3 Infrastructure Review'"
• "Generate a corporate report from this research, add a bar chart for the monthly metrics"
• "Create a CONFIDENTIAL report called 'Security Audit Findings' from this text"
• "List the available report themes"

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Troubleshooting

Python not found — ensure python or python3 is on your PATH and is version 3.8+.

reportlab not installed — run pip install reportlab matplotlib.

Charts missing — matplotlib is required for charts. Install it with pip install matplotlib.

Large PDFs — complex specs with many charts can take 5–15 seconds. This is normal.

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License

MIT