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chemistry

Deterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "comcovasyn-chemistry": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "comcovasyn-chemistry": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "comcovasyn-chemistry": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The com.covasyn/chemistry Model Context Protocol server is a deterministic MCP for AI agents that enables remote connections for various chemistry-related tasks, including drug discovery, ADMET, docking, and retrosynthesis. This server would be used by developers working on projects that require AI-driven chemistry applications, such as pharmaceutical research or materials science. Developers would reach for this tool when they need to integrate AI capabilities into their chemistry workflows, leveraging its support for specific tasks like LNPs, DoE, and ICH M7 compliance.

Deterministic MCP for AI agents: drug discovery, ADMET, docking, LNPs, DoE, retrosynthesis, ICH M7. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The chemistry server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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