Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Chemspace

БесплатноНе проверен

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

GitHubEmbed

Описание

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

Установка Chemspace

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/lukasmki/chemspace-mcp

FAQ

Chemspace MCP бесплатный?

Да, Chemspace MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Chemspace?

Нет, Chemspace работает без API-ключей и переменных окружения.

Chemspace — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Chemspace в Claude Desktop, Claude Code или Cursor?

Открой Chemspace на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Chemspace with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai