About Protocol MCP
Protocol MCP is an MCP server published by biocontext-ai in the Developer Tools category: wet lab protocol retrieval MCP server, including protocols.io.
The repository has 2 stars and 1 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/biocontext-ai/protocol-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
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
README fetched from the repository 3 hours ago. The original is authoritative.