MCP.science: Open Source MCP Servers for Scientific Research đďż˝âŚ
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About MCP.science: Open Source MCP Servers for Scientific Research đďż˝âŚ
Open Source MCP Servers for Scientific Research
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp.science": {
"command": "uvx",
"args": [
"mcp-science",
"web-fetch"
]
}
}
}Tools
No tools detected
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
What is MCP.science?
MCP.science is an open-source collection of MCP (Model Context Protocol) servers designed for scientific research. It enables AI models like Claude to interact with scientific data, tools, and resources through a standardized protocol.
How to use MCP.science?
Install the uv tool and an MCP-enabled client (e.g., Claude Desktop). Launch any server with uvx mcp-science <server-name>. Configure the command in your clientâs settings (e.g., JSON config for Claude Desktop). A step-by-step guide is available in the repository.
Key features of MCP.science
- Open source MCP servers for scientific research
- Easy launch with
uvx mcp-science <server-name> - Includes servers for materials, web, Python, SSH, and more
- Supports multiple MCPâenabled clients (Claude Desktop, VSCode, Goose, 5ire)
- Active community contributions under MIT license
Use cases of MCP.science
- Search and visualize materialsâscience data from the Materials Project database
- Execute Python code in a sandboxed environment for safe analysis
- Fetch and summarise web content (HTML, PDF, plain text)
- Run preâvalidated commands on remote machines over SSH
- Perform densityâfunctionalâtheory calculations with GPAW
FAQ from MCP.science
What is MCP?
MCP (Model Context Protocol) is an open standard that connects AI models to data sources and tools, acting like a USB-C port for AI applications. It provides a growing list of preâbuilt integrations and best practices for data security.
How do I install and launch a server?
First install uv from astral.sh/uv. Then run uvx mcp-science <server-name> in your terminal. The command downloads and executes the server automatically.
Do any servers require API keys?
Yes. The Materials Project server and the TXYZ Search server each require a specific API key. Other servers (e.g., Web Fetch, Python Code Execution) work without one.
What clients are supported?
MCP.science works with any MCPâenabled client, including Claude Desktop, VSCode, Goose, and 5ire. Configure the server command in the clientâs settings.
How can I contribute to this project?
Fork the repository, create a feature branch,
Frequently asked questions
What is MCP?
MCP (Model Context Protocol) is an open standard that connects AI models to data sources and tools, acting like a USB-C port for AI applications. It provides a growing list of preâbuilt integrations and best practices for data security.
How do I install and launch a server?
First install `uv` from astral.sh/uv. Then run `uvx mcp-science <server-name>` in your terminal. The command downloads and executes the server automatically.
Do any servers require API keys?
Yes. The Materials Project server and the TXYZ Search server each require a specific API key. Other servers (e.g., Web Fetch, Python Code Execution) work without one.
What clients are supported?
MCP.science works with any MCPâenabled client, including Claude Desktop, VSCode, Goose, and 5ire. Configure the server command in the clientâs settings.
How can I contribute to this project?
Fork the repository, create a feature branch,
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