广告合作
MCP.so
登录

MCP Docs Reader

@AIMIZING

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

AIMIZING

关于 MCP Docs Reader

A lightweight MCP server that loads PDF files, extracts and chunks their text, builds a semantic vector index, and returns relevant passages to Claude or other AI agents for document-based question answering.

MCP Docs Reader 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_docs_reader": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Docs Reader 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-docs-reader?

mcp-docs-reader is a lightweight MCP server that loads PDF files from a local folder, extracts and chunks their content, builds a semantic search index, and sends relevant passages to Claude Desktop for document-based question answering. It is intended for use with Claude’s MCP desktop feature.

How to use mcp-docs-reader?

Download or clone the project, set up the uv virtual environment (manually or via setup.bat), and install dependencies. Then edit your Claude Desktop claude_desktop_config.json to include the content from docReader_config.json, replacing the placeholder path with the actual project path. Launch Claude Desktop; it will automatically connect to the MCP tool.

Key features of mcp-docs-reader

  • Loads and processes PDF documents from a local docs/ folder
  • Extracts text and splits it into semantic chunks
  • Generates vector embeddings using SentenceTransformer
  • Builds a FAISS-based vector index for semantic search
  • Retrieves top-k relevant chunks based on user query
  • Constructs a prompt with passages and returns it to Claude

Use cases of mcp-docs-reader

  • Ask Claude questions based on your local PDF documents.
  • Summarize key points from registered file contents.

常见问题

1

What is mcp-docs-reader intended for?

It is intended for use with Claude Desktop’s MCP feature to enable document-based question answering from local PDF files.

2

What kind of documents does it support?

It supports PDF files located in a local *docs/* folder.

3

How are documents processed?

Text is extracted, split into semantic chunks, embedded with SentenceTransformer, and indexed with FAISS for semantic search.

4

What does mcp-docs-reader return to Claude?

It constructs and returns a prompt containing top-k relevant passages along with the user’s question.

评论

记忆与知识 分类下的更多 MCP 服务器

agentleFS

agentleFS

One permissioned folder your team and your AI agents both log into.

Code Graph Rag

vitali87

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

5.3K

Tempreon

Tempreon

Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Codebase Memory

DeusData

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

46.7K

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