Biodiversity
B

Biodiversity

A Python - based biodiversity model protocol server project that supports rapid deployment, development, and debugging.
2 points
9.4K

What is the Biodiversity MCP Server?

The Biodiversity MCP Server is a tool specifically designed to manage and run biodiversity models. It allows users to access and control complex ecological simulations through a unified interface, supporting multi - device collaboration and automated task processing.

How to use the Biodiversity MCP Server?

After installation, you can easily start the server and begin running models. Just follow a few simple steps to complete the setup and test your first model.

Applicable Scenarios

It is suitable for researchers, environmental protection agencies, and professionals who need to conduct ecosystem modeling. Whether researching the impact of climate change on species distribution or evaluating the effectiveness of conservation measures, Biodiversity MCP can provide strong support.

Main Features

Cross - platform Compatibility
Supports the Windows operating system to ensure stable operation in different environments.
Auto - reload Mode
Updates changes in real - time during development without manually restarting the service.
Multi - language Support
Built - in options for switching between multiple language environments, facilitating international team collaboration.
Advantages
Easy to use and quick to get started
Powerful performance optimization, handling large - scale data sets without pressure
Flexible expansion, customizable functional modules according to requirements
Limitations
It has certain requirements for hardware configuration, and low - end devices may perform poorly
Some advanced features require an additional paid subscription

How to Use

Download and Install Python
Visit the official Python website to download the latest version and make sure to check the option to add it to the system PATH.
Install the MCP Tool
Open a PowerShell window and run the following command to install the MCP tool: `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`.
Create a Virtual Environment
After activating the virtual environment, install the necessary dependency packages.
Start the Server
Enter the `mcp run server.py` command to start running your model.

Usage Examples

Run the Basic Model
Start an instance of the biodiversity model with default configuration.
Modify Parameters in Debug Mode
Optimize model performance by adjusting parameters.

Frequently Asked Questions

Does it support the Linux system?
What if I forget to activate the virtual environment?

Related Resources

Official Documentation
Get detailed installation and usage instructions.
GitHub Repository
Participate in the open - source project and submit feedback.
Tutorial Video
Watch the video to learn how to get started quickly.

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.7K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.7K
5 points
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
9.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
10.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
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
32.7K
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
22.2K
4.3 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
20.3K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.4K
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#
30.1K
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
59.9K
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
44.2K
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
91.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase