Memex (Firecrawl & Voyage)
M

Memex (Firecrawl & Voyage)

Memex is a tool based on the Model Context Protocol (MCP) for analyzing web page content and adding it to a knowledge base, supporting Q&A interactions via the Claude API.
2.5 points
7.1K

What is Memex?

Memex is a tool based on the Model Context Protocol (MCP) that helps you expand your knowledge base by analyzing web page content. Inspired by Vannevar Bush's Memex project, this tool allows users to easily save, organize, and retrieve online information.

How to use Memex?

First, you need to prepare an API key and install the tool. Then, you can input questions with URLs, and Memex will automatically analyze the content and store it in the knowledge base. After that, you can obtain previously stored information by simply asking questions.

Applicable Scenarios

Memex is particularly suitable for researchers, students, or professionals who need to frequently consult online materials. It can significantly improve work efficiency and reduce repetitive labor.

Main Features

Web Page Content Analysis
Memex can automatically crawl web page content and conduct in-depth analysis to extract valuable information.
Multi-Platform Compatibility
Supports multiple operating systems, including Windows, macOS, and Linux.
Cross-Device Synchronization
Can be seamlessly synchronized to the Obsidian note-taking app on different devices.
Advantages
Quickly build a personalized knowledge base
Support multiple mainstream APIs (Claude, FireCrawl, Voyage)
Easy to integrate into existing workflows
Limitations
Relies on external APIs, which may incur additional costs
Requires a certain computer foundation to complete the initial setup

How to Use

Install the Memex Tool
Install the Memex tool via pip: `pip install mcp-memex`.
Configure Environment Variables
Create a `claude_desktop_config.json` file and fill in the required API keys.
Start the Memex Service
Run the command to start the service: `npx @modelcontextprotocol/inspector ...`.

Usage Examples

Example 1: Query the Capital of France
By analyzing the Wikipedia page, Memex can accurately answer questions about the capital of France.
Example 2: Review of Complex Historical Events
Users can query complex event backgrounds through Memex, such as details related to World War II.

Frequently Asked Questions

Is Memex free to use?
How to start using Memex?
Which operating systems does Memex support?

Related Resources

Official Documentation
Visit the Memex GitHub repository for more information.
Obsidian Note-Taking App
Learn more about the features of Obsidian.
Video Tutorial
Watch the video to learn how to quickly get started with Memex.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "memex": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH_TO_LOCAL_MEMEX_REPO",
        "run",
        "mcp-memex",
        "--index",
        "PATH_TO_MEMEX_INDEX",
        "--workspace",
        "PATH_TO_OBSIDIAN_VAULT"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "YOUR-API-KEY",
        "FIRECRAWL_API_KEY": "YOUR-API-KEY",
        "VOYAGE_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.5K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
5.1K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
9.4K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
18.8K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.2K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
11.5K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
15.2K
4 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.8K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.6K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
43.5K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
87.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase