MCP Server Collector
M

MCP Server Collector

A Python tool for crawling MCP data and supporting direct database import or SQL file export
2 points
8.5K

What is the MCP Data Crawling Tool?

This is a Python script tool used to crawl data from MCP (Model Context Protocol) servers and clients, and it can directly import the data into a Supabase database or export it as an SQL file.

How to use the MCP Data Crawling Tool?

After installing the necessary dependencies, run the script through the command line. You can choose to crawl server data, client data, or both, and you can also choose to import the data into a database or export it as an SQL file.

Applicable Scenarios

Suitable for developers and system administrators who need to collect and analyze MCP server and client data, and it can be used for monitoring, data analysis, or backup purposes.

Main Features

Server Data Crawling
It can crawl relevant data from the MCP server independently.
Client Data Crawling
It can crawl relevant data from the MCP client independently.
Direct Database Import
It supports directly importing the crawled data into a Supabase database.
SQL File Export
It can export the crawled data as an SQL file for easy backup and migration.
Advantages
Flexibly choose the crawling target (server/client/all)
Support multiple data output methods (direct database import or SQL file export)
A simple and easy-to-use command-line interface
Limitations
Requires pre-installation of the Python environment and dependencies
Currently only supports the Supabase database
Requires basic command-line operation knowledge

How to Use

Install Dependencies
Ensure that the Python environment is installed, and then run pip to install the necessary dependencies.
Enter the Script Directory
Switch to the directory where the crawling script is located.
Run the Crawling Script
Run the script with different parameters as needed.

Usage Examples

Regularly Backup Server Data
System administrators can set up scheduled tasks to regularly crawl server data and export it as an SQL file for backup.
Analyze Client Usage
Developers can crawl client data independently and import it into the database for analyzing client usage.

Frequently Asked Questions

Why do I need to install the supabase dependency?
Can it be exported in other formats?
How to set up scheduled automatic crawling?

Related Resources

Python Official Website
Download and learn about the Python programming language
Supabase Documentation
Documentation for using the Supabase database
GitHub Repository
The source code repository for the tool

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
7.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.1K
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
21.5K
4.5 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
36.9K
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
25.7K
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
76.0K
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#
34.8K
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
66.2K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.9K
4.5 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
100.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase