Chemspace
FreeNot checkedMCP server enabling AI agents to search for synthesizable building blocks and screening compounds
About
MCP server enabling AI agents to search for synthesizable building blocks and screening compounds
README
A Model Context Protocol (MCP) server that provides a wrapper for the Chemspace API, enabling AI agents to search for synthesizable building blocks and screening compounds through exact, substructure, and similarity searches.
Features
- Exact Search: Find exact molecular matches by SMILES
- Substructure Search: Find compounds containing a specific substructure
- Similarity Search: Find structurally similar compounds by SMILES
- Multiple Product Categories: Search across in-stock and make-on-demand compounds
- Global Shipping: Specify shipping countries with ISO country codes
Requirements
- Python 3.13+
- Chemspace API key
Installation
Prerequisites
Install uv:
# macOS
brew install uv
# Linux/WSL2
curl -LsSf https://astral.sh/uv/install.sh | sh
Setup
Clone the repository and navigate to the project directory
Set your Chemspace API key as an environment variable:
export CHEMSPACE_API_KEY="your-api-key-here"Install dependencies and run:
uv run chemspace-mcp
Configuration
For use with FastAgent
Configure example/fastagent.secrets.yaml. Environment variables set here will override the ones in your shell:
anthropic:
api_key: your-anthropic-api-key
mcp:
servers:
chemspace:
env:
CHEMSPACE_API_KEY: your-chemspace-api-key
Then run the example interface with FastAgent:
cd example
uv run --extra agent agent.py
Usage
The MCP server exposes the following tools:
search_exact
Searches for exact molecular matches by SMILES string.
Parameters:
smiles(string): The SMILES string to search forshipToCountry(string): Two-letter ISO country code (default: "US")count(integer): Maximum results per page (default: 10)page(integer): Page number for pagination (default: 1)categories(list): Product categories to search:CSSB: In-stock building blocksCSSS: In-stock screening compoundsCSMB: Make-on-demand building blocksCSMS: Make-on-demand screening compoundsCSCS: Custom requests
search_substructure
Searches for compounds containing a specific substructure.
Parameters: Same as search_exact
search_similarity
Searches for structurally similar compounds.
Parameters: Same as search_exact
Project Structure
chemspace-mcp/
├── src/
│ └── chemspace_mcp/
│ ├── __init__.py # Entry point and MCP server initialization
│ ├── tools.py # Tool definitions for chemical searches
│ └── tokenmanager.py # Token management for API authentication
├── example/
│ ├── agent.py # Example FastAgent integration
│ ├── fastagent.config.yaml # FastAgent configuration
│ └── fastagent.secrets.yaml # Secrets configuration (not in version control)
├── pyproject.toml # Project metadata and dependencies
└── README.md # This file
Development
Dependencies
fastmcp>=2.13.1: Core MCP server frameworkfast-agent-mcp>=0.2.25: FastAgent integration
License
MIT License
Support
For issues or questions, please open an issue on the project repository.
Installing Chemspace
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/lukasmki/chemspace-mcpFAQ
Is Chemspace MCP free?
Yes, Chemspace MCP is free — one-click install via Unyly at no cost.
Does Chemspace need an API key?
No, Chemspace runs without API keys or environment variables.
Is Chemspace hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Chemspace in Claude Desktop, Claude Code or Cursor?
Open Chemspace on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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