ChEMBL Molecule Search

SkillSearch

Search ChEMBL database for molecule information by name to retrieve bioactivity data and chemical structures.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the ChEMBL Molecule Search skill

What this skill tells your AI

The instructions your AI receives, as published by internscience/scp in skills/chembl-molecule-search/SKILL.md and read by ahel’s review.

Usage

1. MCP Server Definition

import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class OrigeneClient:
    """Origene-ChEMBL MCP Client"""

    def __init__(self, server_url: str, api_key: str):
        self.server_url = server_url
        self.api_key = api_key
        self.session = None

    async def connect(self):
        try:
            self.transport = streamablehttp_client(
                url=self.server_url,
                headers={"SCP-HUB-API-KEY": self.api_key}
            )
            self.read, self.write, self.get_session_id = await self.transport.__aenter__()
            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self.session_ctx.__aenter__()
            await self.session.initialize()
            return True
        except Exception as e:
            print(f"✗ connect failure: {e}")
            return False

    async def disconnect(self):
        try:
            if self.session:
                await self.session_ctx.__aexit__(None, None, None)
            if hasattr(self, 'transport'):
                await self.transport.__aexit__(None, None, None)
        except Exception as e:
            print(f"✗ disconnect error: {e}")

    def parse_result(self, result):
        if isinstance(result, dict):
            content_list = result.get("content") or []
        else:
            content_list = getattr(result, "content", []) or []
        texts = []
        for item in content_list:
            if isinstance(item, dict):
                if item.get("type") == "text":
                    texts.append(item.get("text") or "")
            else:
                if getattr(item, "type", None) == "text":
                    texts.append(getattr(item, "text", "") or "")
        return "".join(texts)

2. ChEMBL Molecule Search Workflow

Implementation:

## Initialize client
client = OrigeneClient(
    "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL",
    "<your-api-key>"
)

if not await client.connect():
    print("connection failed")
    exit()

## Search for molecule by name
result = await client.session.call_tool(
    "get_molecule_by_name",
    arguments={
        "molecule_name": "aspirin"
    }
)

result_data = client.parse_result(result)
print(result_data)

await client.disconnect()

Tool Descriptions

Origene-ChEMBL Server:

  • get_molecule_by_name: Search ChEMBL for molecule information
    • Args:
      • molecule_name (str): Molecule name to search
    • Returns: ChEMBL molecule data including structure and bioactivity

Use Cases

  • Drug discovery research
  • Bioactivity data retrieval
  • Chemical structure lookup
  • Target-based screening

Signals

GitHub stars
167
Forks
9
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
chembl-molecule-search
Source
github.com/internscience/scp