The PRIDE Archive Search MCP Server provides a Model Context Protocol (MCP)-compliant API that enables AI models to search and interact with proteomics datasets from the PRIDE Archive repository. This server bridges the gap between large language models and scientific proteomics data through structured function calls.
To install the MCP PRIDE Archive Search Server:
git clone https://github.com/PRIDE-Archive/mcp_pride_archive_search.git
cd mcp_pride_archive_search
poetry install # or pip install -r requirements.txt
Start the MCP server by specifying your preferred connection type:
python -m mcp_pride_archive_search --connection_type http --port 9999
Argument | Description | Default |
---|---|---|
--connection_type | Type of connection: http or stdio | http |
--port | Port to run the server (HTTP mode) | 9999 |
This tool fetches proteomics datasets from the PRIDE Archive database.
You should use this tool when:
The server is compatible with any LLM supporting the Model Context Protocol, including:
The server architecture connects these models to the PRIDE Archive REST API (https://www.ebi.ac.uk/pride/ws/archive/v3/search/projects), enabling AI systems to query and analyze proteomics data programmatically.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "mcp_pride_archive_search" '{"command":"python","args":["-m","mcp_pride_archive_search","--connection_type","http","--port","9999"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"mcp_pride_archive_search": {
"command": "python",
"args": [
"-m",
"mcp_pride_archive_search",
"--connection_type",
"http",
"--port",
"9999"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"mcp_pride_archive_search": {
"command": "python",
"args": [
"-m",
"mcp_pride_archive_search",
"--connection_type",
"http",
"--port",
"9999"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect