What is the UniProt MCP Server?
UniProt MCP Server is an MCP server that allows language models to fetch protein information from the UniProt database.
@vitamin3615
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"uniprot-mcp-server-vitamin3615": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
UniProt MCP Server is an MCP (Model Context Protocol) server that enables language models, such as those integrated with Claude Desktop, to fetch protein information from the UniProt database. It is intended for researchers, developers, and bioinformaticians who want to query protein data through AI assistants.
To use UniProt MCP Server, clone the repository, install dependencies (pip install -r requirements.txt), and configure Claude Desktop by adding the server to the claude_desktop_config.json file with the command 'python' and the absolute path to server.py. Alternatively, run the server directly with python server.py for testing.
UniProt MCP Server is an MCP server that allows language models to fetch protein information from the UniProt database.
You need Python, a virtual environment (optional), and the dependencies listed in requirements.txt.
Clone the repo, install dependencies, and add the server configuration to the claude_desktop_config.json file with the absolute path to server.py.
Yes, it fetches data from the UniProt API, so an internet connection is required.
Run python server_health_check.py to verify the server starts, and python test_server.py to test API connectivity.

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