__Developed during [Bio x AI Hackathon 2025](https://bio-x-ai-berlin.devfolio.co/overview)__
Developed during Bio x AI Hackathon 2025
MCP is a protocol designed to bridge the gap between Large Language Models (LLMs) and specialized, domain-specific tools and databases. It provides a standardized way for AI assistants and agents to access complex functionalities through structured, type-safe interfaces.
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{
"mcpServers": {
"biothings-mcp": {
"command": "uvx",
"args": ["--from", "biothings-mcp", "stdio"]
},
"gget-mcp": {
"command": "uvx",
"args": ["gget-mcp", "stdio"]
},
"synergy-age-mcp": {
"command": "uvx",
"args": ["synergy-age-mcp"],
"env": {
"MCP_TRANSPORT": "stdio"
}
},
"opengenes-mcp": {
"command": "uvx",
"args": ["opengenes-mcp"],
"env": {
"MCP_TRANSPORT": "stdio"
}
},
"pharmacology-mcp": {
"command": "uvx",
"args": ["--from", "pharmacology-mcp", "stdio"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MCP_TRANSPORT | Configuration value read at startup. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
MCP server for Withings health data integration
A Model Context Protocol (MCP) server that provides PDF to PNG conversion capabilities. This server allows you to convert PDF documents into PNG
Provides access to project files and their content.
A CLI for interacting with GitKraken APIs. Includes an MCP server via `gk mcp` that not only wraps GitKraken APIs, but also Jira, GitHub, GitLab, and