Wet lab protocol retrieval MCP server, including protocols.io
protocol-mcp
MCP that connects to wetlab protocol resources, including protocols.io
Getting started
Please refer to the documentation, in particular, the API documentation.
You can also find the project on BioContextAI, the community-hub for biomedical MCP servers: protocol-mcp on BioContextAI.
Installation
You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing uv.
There are several alternative options to install protocol-mcp:
1. Use uvx to run it immediately
After publication to PyPI:
uvx protocol_mcp
Or from a Git repository:
uvx git+https://github.com/biocontext-ai/protocol-mcp.git@main
2. Include it in one of various clients that supports the mcp.json standard
If your MCP server is published to PyPI, use the following configuration:
{
"mcpServers": {
"protocol-mcp": {
"command": "uvx",
"args": ["protocol_mcp"]
}
}
}
In case the MCP server is not yet published to PyPI, use this configuration:
{
"mcpServers": {
"protocol-mcp": {
"command": "uvx",
"args": ["git+https://github.com/biocontext-ai/protocol-mcp.git@main"]
}
}
}
For purely local development (e.g., in Cursor or VS Code), use the following configuration:
{
"mcpServers": {
"protocol-mcp": {
"command": "uvx",
"args": [
"--refresh",
"--from",
"path/to/repository",
"protocol_mcp"
]
}
}
}
If you want to reuse and existing environment for local development, use the following configuration:
{
"mcpServers": {
"protocol-mcp": {
"command": "uv",
"args": ["run", "--directory", "path/to/repository", "protocol_mcp"]
}
}
}
3. Install it through pip:
pip install --user protocol_mcp
4. Install the latest development version:
pip install git+https://github.com/biocontext-ai/protocol-mcp.git@main
Contact
If you found a bug, please use the issue tracker.
Citation
t.b.a