Biomodels Mcp

1 MIT

FreeCommunity

AI Systems

MCP to call some useful biological models

What is Biomodels Mcp

biomodels-mcp is a Model Control Protocol (MCP) designed to facilitate the invocation of various biological models, particularly focusing on BioFM.

Use cases

Use cases for biomodels-mcp include simulating biological processes, analyzing biological data, and developing predictive models for biological research.

How to use

To use biomodels-mcp, users can call the implemented methods to run biological models, specifically the BioFM model, as it is the only method currently available.

Key features

Key features of biomodels-mcp include its ability to interface with biological models, a focus on BioFM, and ongoing development to expand its functionalities.

Where to use

biomodels-mcp can be utilized in fields such as computational biology, bioinformatics, and systems biology, where biological modeling is essential.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Biomodels Mcp

biomodels-mcp is a Model Control Protocol (MCP) designed to facilitate the invocation of various biological models, particularly focusing on BioFM.

Use cases

Use cases for biomodels-mcp include simulating biological processes, analyzing biological data, and developing predictive models for biological research.

How to use

To use biomodels-mcp, users can call the implemented methods to run biological models, specifically the BioFM model, as it is the only method currently available.

Key features

Key features of biomodels-mcp include its ability to interface with biological models, a focus on BioFM, and ongoing development to expand its functionalities.

Where to use

biomodels-mcp can be utilized in fields such as computational biology, bioinformatics, and systems biology, where biological modeling is essential.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

biomodels-mcp

MCP to call some useful biological models

It is work in progress so far only method to run BioFM is implemented

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

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