Unofficial Human Protein Atlas MCP Server
@Augmented-Nature
Overview
What is Unofficial Human Protein Atlas MCP Server?
The Unofficial Human Protein Atlas MCP Server is a Model Context Protocol (MCP) server that provides programmatic access to Human Protein Atlas data, including protein expression, subcellular localization, pathology, and more. It is designed for researchers and developers needing to query protein information through MCP-compatible clients.
How to use Unofficial Human Protein Atlas MCP Server?
Install Node.js 18 or higher, run npm install and npm run build in the server directory, then start with npm start or node build/index.js. Integrate with any MCP client by adding the server’s command (e.g., "node") and path to build/index.js under the client’s mcpServers configuration.
Key features of Unofficial Human Protein Atlas MCP Server
- Search proteins by name, gene symbol, or description.
- Access tissue-specific expression profiles.
- Retrieve subcellular localization data.
- Obtain cancer and pathology information.
- Batch process multiple protein queries efficiently.
- Compare expression profiles across proteins.
Use cases of Unofficial Human Protein Atlas MCP Server
- Search for BRCA1 and retrieve detailed protein information.
- Get tissue expression for multiple genes using comparison.
- Find breast cancer prognostic markers.
- Look up multiple proteins at once with batch processing.
- Access blood or brain expression data for specific genes.
FAQ from Unofficial Human Protein Atlas MCP Server
What are the prerequisites for running the server?
Node.js 18 or higher and npm or yarn package manager are required.
How do I integrate this server with my MCP client?
Add an entry to your client’s mcpServers configuration with "command": "node" and "args": ["/path/to/proteinatlas-server/build/index.js"].
What data sources does the server access?
It accesses data from Human Protein Atlas, Tissue Atlas, Blood Atlas, Brain Atlas, Pathology Atlas, and Cell Atlas.
Are there any rate limits?
The server implements rate limiting to respect the Human Protein Atlas API; for batch operations, break large requests into smaller chunks.
What output formats are supported?
Formats include json, tsv, xml, and trig depending on the tool; json is the default.
