mcp-omics
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-omicsTell me about the gene BRCA1."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-omics
A Model Context Protocol server for retrieving -omics data from various online sources.
Run the MCP server
To run the MCP server, you need to have FastMCP installed. You can install it using pip:
pip install -r requirements.txtThen, you can check that the server will run using the following command:
fastmcp run server.pyRelated MCP server: UniProt MCP Server
Example: Communicate with the MCP server locally in Ollama using MCPHost
Pull your desired model from Ollama:
ollama pull qwen2.5:0.5bNote that you can use any of the models that support "tools". Avoid the "thinking" models, as their outputs are overly verbose for this use case.
Install the MCPHost package:
go install github.com/mark3labs/mcphost@latest
## Make sure mcphost is in your PATH
# export PATH="$HOME/go/bin:$PATH"Run MCPHost with the model you pulled from Ollama:
mcphost -m ollama:qwen2.5:0.5b --config .mcphost.jsonRun some examples:
PDB - "From the Protein Data Bank, tell me about PDB 5JXE."
ChEMBL - "In the ChEMBL database, what are the other names for the compound with ID 'CHEMBL112'?"
UniProt - "What is the UniProt ID P43220?"
PubChem - "What is the PubChem CID 2244?"
HUGO - "Tell me about the gene BRCA1."
This server cannot be deployed
Maintenance
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