What does Rdkit Chemical Informatics do?
It wraps RDKit’s molecular visualization and descriptor calculation functions into an MCP server, allowing AI agents to perform chemical informatics tasks.
@s20ss
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"rdkit": {
"command": "python",
"args": [
"-m",
"mcp_rdkit"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Rdkit Chemical Informatics integrates the RDKit library with the MCP (Model Context Protocol) framework to provide advanced chemical informatics tools. It is designed for users who need molecular visualization, descriptor calculation, and MCP server interaction.
Install the package via pip install mcp-rdkit, then run python -m mcp_rdkit to start the MCP server in stdio mode. Add the provided JSON configuration to your MCP config file to connect the server.
It wraps RDKit’s molecular visualization and descriptor calculation functions into an MCP server, allowing AI agents to perform chemical informatics tasks.
Python 3.8 or higher, the RDKit library, and the MCP framework.
Install with `pip install mcp-rdkit` and run with `python -m mcp_rdkit`.
Add the following JSON to your MCP configuration: `{"rdkit-server": {"type": "stdio", "command": "python", "args": ["-m", "mcp_rdkit"]}}`.
The server runs in stdio mode. No authentication is mentioned.

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP
Comments