Parseflow

io.github.Libres-coderPublished by GitHub account Libres-coderv1.0.2Updated Oct 24, 2026

PDF parsing server with text extraction, metadata, search, images, and TOC via MCP

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Server details

Identifier: io.github.Libres-coder/parseflow
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Sep 16, 2026

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Overview

AI-generated overview

Local MCP server that parses PDF, Word, Excel, PowerPoint and image files, letting an assistant extract text, search, and edit PDFs.

What you can do: Extract text, metadata, images and tables of contents from PDFs, and search PDF content
Merge, split, extract pages from, and add or remove watermarks on PDFs
Extract and search text in Word, Excel and PowerPoint files
Run OCR on images in 12 languages and search the recognized text
Build semantic vector indexes and run semantic document search
Batch-extract and batch-search across many files, including recursive directory scans
When to use it: Useful when an assistant needs to read or search local documents such as reports, spreadsheets, slide decks or scanned images, or to reorganize PDFs by merging, splitting or watermarking them.
Requirements: Runs as a local stdio process, installed globally or via npx from the npm package parseflow-mcp-server; Node.js is required. No authentication, environment variables or headers are declared. Encrypted PDFs need their password supplied per call.

Before you install

Several tools write files: merge, split, page extraction and watermark add/remove produce new or overwritten PDFs, so check output paths before running them. Semantic indexing sends document content to an embedding service, which may be a third party. Passwords for encrypted PDFs are passed to the tool.

Installation

In SourceWeft

Open Parseflow in the dashboard and add it to a workspace.
Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

📄 ParseFlow

AI 驱动的全能文档解析库

[npm version] [MCP Server] [License: MIT]

English | 中文

ParseFlow 是一个全面的文档解析解决方案，支持 PDF、Word、Excel、PowerPoint 和图片 OCR。它提供独立的核心库和 MCP 服务器，可供 AI 助手使用。

✨ 功能特性

📄 PDF 支持

✅ 多策略文本提取（原始、格式化、清理）
✅ 按页或按范围提取
✅ 🔐 加密 PDF 密码支持
✅ 📄 PDF 合并、拆分、提取页面
✅ 元数据获取、全文搜索

📝 Word / 📊 Excel / 🎯 PowerPoint

✅ 文本提取和搜索
✅ HTML 转换（Word）
✅ 多工作表支持（Excel）
✅ 幻灯片提取（PowerPoint）

🔍 OCR 图片识别

✅ 支持 12 种语言
✅ 图片文字提取和搜索

🧠 语义搜索

✅ AI 向量嵌入
✅ 智能文档搜索（无需精确关键词）

📦 批量处理

✅ 并行处理多个文件
✅ 目录递归扫描
✅ 批量提取和搜索

🤖 MCP 服务器

✅ 20 个 AI 助手工具
✅ 支持 Claude Desktop、Windsurf、Cursor

📦 安装

核心库

MCP 服务器

🚀 快速开始

PDF 解析

typescript

import { PDFParser } from 'parseflow-core';
const parser = new PDFParser();const text = await parser.extractText('document.pdf');const results = await parser.search('document.pdf', '关键词');

import { PDFParser } from 'parseflow-core';
const parser = new PDFParser();const text = await parser.extractText('document.pdf');const results = await parser.search('document.pdf', '关键词');

Word 解析

typescript

import { WordParser } from 'parseflow-core';
const parser = new WordParser();const result = await parser.extractText('report.docx');const html = await parser.extractHTML('report.docx');

import { WordParser } from 'parseflow-core';
const parser = new WordParser();const result = await parser.extractText('report.docx');const html = await parser.extractHTML('report.docx');

Excel 解析

typescript

import { ExcelParser } from 'parseflow-core';
const parser = new ExcelParser();const data = await parser.extractData('spreadsheet.xlsx');const results = await parser.searchText('data.xlsx', '收入');

import { ExcelParser } from 'parseflow-core';
const parser = new ExcelParser();const data = await parser.extractData('spreadsheet.xlsx');const results = await parser.searchText('data.xlsx', '收入');

PowerPoint 解析

typescript

import { PowerPointParser } from 'parseflow-core';
const parser = new PowerPointParser();const result = await parser.extractText('presentation.pptx');const results = await parser.searchText('slides.pptx', '关键词');

import { PowerPointParser } from 'parseflow-core';
const parser = new PowerPointParser();const result = await parser.extractText('presentation.pptx');const results = await parser.searchText('slides.pptx', '关键词');

🛠️ MCP 服务器配置

Claude Desktop

在 claude_desktop_config.json 中添加：

json

{  "mcpServers": {    "parseflow": {      "command": "npx",      "args": ["-y", "parseflow-mcp-server"]    }  }}

{  "mcpServers": {    "parseflow": {      "command": "npx",      "args": ["-y", "parseflow-mcp-server"]    }  }}

可用工具（23 个）

类别	工具	描述
PDF	`extract_text`	提取文本（支持加密 PDF）
	`get_metadata`	获取元数据
	`search_pdf`	全文搜索
	`extract_images`	提取图片
	`get_toc`	获取目录
	`merge_pdf`	合并多个 PDF
	`split_pdf`	拆分为单页
	`extract_pdf_pages`	提取指定页码
	`add_watermark`	添加文字水印
	`add_image_watermark`	添加图片水印
	`remove_watermark`	移除水印（覆盖）
Word	`extract_word`	提取文本/HTML
	`search_word`	文本搜索
Excel	`extract_excel`	提取数据
	`search_excel`	单元格搜索
PPT	`extract_powerpoint`	提取幻灯片
	`search_powerpoint`	幻灯片搜索
OCR	`extract_ocr`	图片文字识别
	`search_ocr`	OCR 文本搜索
AI	`semantic_index`	文档向量索引
	`semantic_search`	语义相似搜索
批量	`batch_extract`	批量提取多文件
	`batch_search`	批量搜索多文件

📈 版本历史

版本	功能
v1.8.0	💧 PDF 水印（文字/图片水印）
v1.7.0	📦 批量处理（并行处理多文件）
v1.6.0	🧠 语义搜索（AI 向量嵌入）
v1.5.0	📄 PDF 合并/拆分/提取
v1.4.0	🔐 加密 PDF 支持
v1.3.0	🔍 OCR 图片文字识别
v1.2.0	🎯 PowerPoint 支持
v1.1.0	📝 Word + 📊 Excel 支持
v1.0.0	📄 PDF 基础解析

🔗 链接

npm Core: https://www.npmjs.com/package/parseflow-core
npm MCP: https://www.npmjs.com/package/parseflow-mcp-server
GitHub: https://github.com/Libres-coder/ParseFlow

📄 许可证

MIT License - 详见 LICENSE

Made with ❤️ by Libres-coder

Source: README.md at commit bfb9e08

Tools

SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

v1.0.2LatestSep 16, 2026

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