广告合作
MCP.so
登录

MCP Server for Document Processing

@donphi

代码仓库

基本信息

分类

记忆与知识

许可证

MIT license

传输方式

stdio

作者

donphi

关于 MCP Server for Document Processing

This MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge beyond training data. Built with Docker, supports free and paid embeddings, and k

MCP Server for Document Processing 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Server for Document Processing 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🚀 MCP Server for Document Processing?

This MCP server allows AI assistants to query and retrieve information from custom document collections, overcoming knowledge cutoffs by processing Markdown, text, PDF, and Word files into vector embeddings stored in a local database. It is designed for developers who want to extend LLM knowledge with up-to-date framework documentation, private codebases, or technical specifications.

How to use 🚀 MCP Server for Document Processing?

Clone the repository, copy .env.example to .env and configure desired settings, then place your Markdown and text files in the data/ directory. Run the pipeline with docker-compose build pipeline && docker-compose run pipeline, then build the server with docker-compose build server. Finally, generate an MCP configuration using the platform‑specific setup script (setup-mcpServer-json.sh or setup-mcpServer-json.bat) and add it to an MCP‑compatible AI assistant such as Roo.

Key features of 🚀 MCP Server for Document Processing

  • Processes .md, .txt, .pdf, .docx, and .doc files.
  • Supports free local embedding models (e.g., all‑MiniLM‑L6‑v2) and paid OpenAI models.
  • Exposes MCP tools: read_md_files, search_content, get_context, project_structure, suggest_implementation.
  • Operates in Full Processing Mode (with Claude) or Context Retrieval Mode.
  • Fully containerized with Docker for simple setup and portability.
  • Customizable chunk size, overlap, batch size, and supported extensions.

Use cases of 🚀 MCP Server for Document Processing

  • Provide AI assistants with the latest React 19, Angular 17, or Vue 3.4+ documentation not in training data.
  • Enable debugging and understanding of private codebases by feeding proprietary API documentation.
  • Import technical specifications or new protocol docs for context‑aware AI assistance.
  • Build a searchable knowledge base from internal wikis or blog posts for team use.

常见问题

1

What file types are supported?

By default, the server supports Markdown (.md), Text (.txt), PDF (.pdf), and Word (.docx, .doc) files. You can add more extensions via the `SUPPORTED_EXTENSIONS` environment variable.

2

Do I need an API key to run the server?

No. The server can use free local embedding models (e.g., `sentence-transformers/all-MiniLM-L6-v2`) without any API key. An OpenAI API key is only required if you choose a paid embedding model. An Anthropic API key is optional and enables Full Processing Mode with Claude.

3

How do I configure the server?

Copy `.env.example` to `.env` and edit the environment variables. Key settings include chunk size, embedding model, data directories, and whether to use the Anthropic API. After configuration, run the processing pipeline and then build the server.

4

What are the two operational modes?

In **Full Processing Mode** (when `

评论

记忆与知识 分类下的更多 MCP 服务器

LoreKeeper RPG (lorekeeper.com)

LoreKeeper Ltd

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

Neither MCP

stonianua

Project context your AI can query through MCP — with source evidence.

Snipara

alopez3006

MCP connector for Snipara, the Project Brain for AI coding agents

1

OpenLore

aakarim

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab

66

The Cloud

Teka

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

广告合作