--> --- name: bio-mcpmed-bioinformatics-server description: Model Context Protocol (MCP) server for bioinformatics web services like GEO, STRING, and UCSC Cell Browser. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Adapts the Model Context Protocol (MCP) to bioinformatics web server backends. This creates a standardized, machine-actionable layer for LLMs to ...
Scanned 9/7/2026
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---
name: bio-mcpmed-bioinformatics-server
description: Model Context Protocol (MCP) server for bioinformatics web services like
GEO, STRING, and UCSC Cell Browser.
tool_type: mixed
primary_tool: Unknown
measurable_outcome: Execute skill workflow successfully with valid output within 15
minutes.
allowed-tools:
- read_file
- run_shell_command
---
# MCPmed Bioinformatics Web Services
Adapts the Model Context Protocol (MCP) to bioinformatics web server backends. This creates a standardized, machine-actionable layer for LLMs to interact with external biological resources, matching the 2026 standard for agentic tools.
## When to Use This Skill
* "Query STRING database for protein-protein interactions via MCP"
* "Fetch dataset metadata from GEO using MCPmed"
* "Access UCSC Cell Browser data through MCP"
## Core Capabilities
1. **GEO Integration**: Search and retrieve Gene Expression Omnibus metadata autonomously.
2. **STRING DB Access**: Query protein-protein interaction networks contextually.
3. **UCSC Cell Browser**: Programmatic access to single-cell datasets.
## Workflow
1. **Step 1**: Start the MCPmed server to expose the bioinformatics backend tools.
2. **Step 2**: Connect the LLM client using MCP to query the integrated databases.
## Example Usage
**User**: "Query the STRING database for interactions with TP53."
**Agent Action**:
```bash
python3 -m mcpmed.cli query string --gene TP53
```
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