# ChEMBL MCP Server

> Use this tool when you need to access large-scale bioactivity data for compounds, or retrieve specific information on target compounds and ADMET properties. The ChEMBL MCP Server solves problems related to compound searching, bioactivity data retrieval, and ADMET property analysis by providing a searchable interface with outputs including compound information and bioactivity data. It is ideal for use cases involving cheminformatics, drug discovery, and pharmaceutical research, accepting inputs such as compound queries and returning relevant bioactivity data and properties.

Canonical page: https://skillsregistry.net/skills/nishanth-kandepedu-chembl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nishanth-kandepedu-chembl-mcp

## Description

A Model Context Protocol (MCP) server that exposes ChEMBL's public bioactivity database as tools for searching compounds, retrieving bioactivity data, target compounds, and ADMET properties, usable by Claude and ChatGPT.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z4xyorscm2)
- **Repository:** <https://github.com/Nishanth-Kandepedu/chembl-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nishanth-kandepedu-chembl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nishanth-kandepedu-chembl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nishanth-kandepedu-chembl-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt