Back to Browse

Suparse MCP Server

Developer ToolsModerate5.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Extract structured data from PDFs and documents with Suparse AI OCR.

About

Extract structured data from PDFs and documents with Suparse AI OCR.

Security Report

5.2
Moderate5.2Moderate Risk

This is a well-structured MCP server with proper authentication, secure credential handling, and appropriate permissions. The code is clean with good error handling and input validation. Minor quality improvements could be made around error handling specificity and logging, but these are low-severity and do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.

7 files analyzed · 7 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Suparse API key used to authenticate requests.Required

Environment variable: SUPARSE_API_KEY

Optional Suparse API base URL override.Optional

Environment variable: SUPARSE_API_URL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-suparse-suparse-mcp": {
      "env": {
        "SUPARSE_API_KEY": "your-suparse-api-key-here",
        "SUPARSE_API_URL": "your-suparse-api-url-here"
      },
      "args": [
        "-y",
        "@suparse/mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Suparse MCP Server

MCP stdio server for the Suparse Document Processing API. Use it from local MCP clients such as Claude Code and Codex to extract structured data from documents into JSON, CSV, XLSX, or Google Sheets; process single files or folders; let Suparse auto-detect extraction schemas or apply your team templates; split mixed multi-page documents; and download or clean up results by document ID.

Security Boundary

This is a local stdio MCP server. Connected MCP clients can ask it to read local document paths and write export files wherever the server process has permission. Only connect it to MCP clients and workspaces you trust.

Requirements

  • A Suparse API key
  • Node.js 20+

Authentication

The MCP server reads credentials from:

  1. SUPARSE_API_KEY
  2. ~/.config/suparse/config.json

You can optionally override the API base URL with SUPARSE_API_URL, or pass api_url to individual MCP tools.

Claude Code

claude mcp add suparse -e SUPARSE_API_KEY=your_api_key -- npx -y @suparse/mcp

Claude Desktop

Open your config file at ~/Library/Application Support/Claude/claude_desktop_config.json on Mac or %APPDATA%\Claude\claude_desktop_config.json on Windows. Add Suparse to the mcpServers section:

{
  "mcpServers": {
    "suparse": {
      "command": "npx",
      "args": ["-y", "@suparse/mcp"],
      "env": {
        "SUPARSE_API_KEY": "your_api_key"
      }
    }
  }
}

Codex

Add this to ~/.codex/config.toml or a project-scoped .codex/config.toml:

[mcp_servers.suparse]
command = "npx"
args = ["-y", "@suparse/mcp"]

[mcp_servers.suparse.env]
SUPARSE_API_KEY = "your_api_key"

Tools

  • extract_file: Process one local document. Defaults to result_mode: "defer", returning compact task_id/document_ids metadata for later download_results. Use result_mode: "return_json" only when the full JSON extraction is needed in the MCP response.
  • extract_folder: Process supported files in one local folder. Defaults to result_mode: "defer", returning compact task_id/document_ids metadata for later download_results. Use result_mode: "return_json" only when full JSON extractions are needed in the MCP response.
  • list_templates: List summary metadata for templates, grouped into directly usable team_templates and discovery-only system_templates.
  • fetch_json_results: Fetch JSON extraction results by document ID directly in the MCP response. Use only when full JSON is needed in context.
  • download_results: Fetch an export by document ID and write it directly to local disk. Use this for json, csv, xlsx, and google_sheets.
  • delete_documents: Delete documents by ID.

Export Formats

fetch_json_results accepts:

InputValuesDefault
export_typeoriginal, unifiedunified

JSON exports are returned as structured results.

download_results accepts json, csv, xlsx, and google_sheets, plus an optional output_path local file path or existing directory. It writes the export directly to disk and returns the saved output_path. MCP clients should use download_results for CSV, XLSX, Google Sheets, and saved JSON files; they should not fetch base64 data and decode it with shell or Python.

result_mode controls whether extraction results in JSON format are returned directly. Use return_json only when you need the full JSON extraction in the MCP response. In all other cases you can retrieve the results in the format of your choice using download_results.

Important: cleanup on extract_file and extract_folder is only valid with result_mode: "return_json". It fetches JSON and then deletes the processed Suparse documents, so later exports cannot be fetched from those document IDs. For CSV/XLSX/Google Sheets or saved JSON files, run extract_file or extract_folder with result_mode: "defer", call download_results, then call delete_documents.

Template Selection for MCP Agents

MCP agents should use only team_templates when passing template_id to extract_file or extract_folder.

When a user asks to process a document type such as a receipt:

  1. Check team_templates first and use the matching team template if present.
  2. If no matching team template exists, call list_templates with include_system: true and check system_templates.
  3. If a matching system template exists, ask the user to add that system template to their templates in the Suparse UI before processing. Do not pass the system template ID directly to extraction.
  4. If no matching team or system template exists, ask the user to create a custom extraction schema for that document type in the Suparse UI.

Development

Build the package:

pnpm build

Test with MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.mjs

The MCP server uses stdout for JSON-RPC protocol messages. Do not add console.log output to the server path; use stderr or MCP tool responses.

Reviews

No reviews yet

Be the first to review this server!