mcp-omics
Click on "Install 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.pyExample: 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 installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/colbyford/mcp-omics'
If you have feedback or need assistance with the MCP directory API, please join our Discord server