A Model Context Protocol (MCP) server that provides access to UniProt protein information. This server allows AI assistants to fetch protein function
Uniprot mcp server lets Claude, Cursor and other MCP clients work with Uniprot directly. A Model Context Protocol (MCP) server that provides access to UniProt protein information. This server allows AI assistants to fetch protein function and sequence information directly from UniProt.
A Model Context Protocol (MCP) server that provides access to UniProt protein information. This server allows AI assistants to fetch protein function and sequence information directly from UniProt.
Once connected, the assistant can call this tool directly:
Tools — 1. get_protein_info - Get information for a single protein - Required parameter: accession (UniProt accession number) - Example response: json { "accession"Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Uniprot sits in that group, and the shape of its toolset — Tools — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Tools | 1. get_protein_info - Get information for a single protein - Required parameter: accession (UniProt accession number) - Example response: json { "accession": "P12345", "protein_name": "Example protein", "function": ["Des |
{
"mcpServers": {
"uniprot": {
"command": "uv",
"args": ["--directory", "path/to/uniprot-mcp-server", "run", "uniprot-mcp-server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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