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Chemspace

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MCP server enabling AI agents to search for synthesizable building blocks and screening compounds

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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

  1. Clone the repository and navigate to the project directory

  2. Set your Chemspace API key as an environment variable:

    export CHEMSPACE_API_KEY="your-api-key-here"
    
  3. 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 for
  • shipToCountry (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 blocks
    • CSSS: In-stock screening compounds
    • CSMB: Make-on-demand building blocks
    • CSMS: Make-on-demand screening compounds
    • CSCS: 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 framework
  • fast-agent-mcp>=0.2.25: FastAgent integration

License

MIT License

Support

For issues or questions, please open an issue on the project repository.

from github.com/lukasmki/chemspace-mcp

Installing Chemspace

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/lukasmki/chemspace-mcp

FAQ

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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