What dependencies are required to run Chembl Mcp Server?
Node.js v16 or higher, npm or yarn, and the npm packages @modelcontextprotocol/sdk, axios, and TypeScript.
@Augmented-Nature
基本情報
A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database. This server offers 22 specialized tools enabling AI assistants and MCP clients to perform sophisticated drug discovery research, chemical informatics analysis, and bioac
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"chembl-mcp-server-augmented-nature": {
"command": "docker",
"args": [
"build",
"-t",
"chembl-mcp-server",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Chembl Mcp Server is an unofficial MCP server that provides AI assistants with 22 specialized tools to access the ChEMBL chemical database via its REST API. It enables drug discovery research, chemical informatics, and bioactivity analysis for researchers and developers.
Install Node.js v16+, clone the repository, run npm install then npm run build. Start the server with npm start and add the configuration to your MCP client (e.g., Claude Desktop) specifying the path to build/index.js. Alternatively, you can build and run a Docker container using docker build -t chembl-mcp-server and run it interactively.
Node.js v16 or higher, npm or yarn, and the npm packages @modelcontextprotocol/sdk, axios, and TypeScript.
It runs as an MCP server that communicates via stdio. You add it to your MCP client configuration (e.g., Claude Desktop) using a command or Docker run command.
Yes, you can build an image with `docker build -t chembl-mcp-server` and run it with `docker run -i chembl-mcp-server`. The README provides an example configuration for MCP client integration.
It connects to the ChEMBL REST API at `https://www.ebi.ac.uk/chembl/api/data`. Requests include a User-Agent header and a 30-second timeout.
The `search_compounds` and `search_activities` tools accept a `limit` parameter from 1 to 1000 (default 25). The `batch_compound_lookup` tool accepts an array of 1 to 50 ChEMBL IDs.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
MCP Toolbox for Databases is an open source MCP server for databases.

Model Context Protocol Servers
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
A search tool helps dev to solve the naming things problem.
コメント