# Chemspace MCP Server

> Use this tool when you need to search for synthesizable compounds and building blocks using SMILES strings, enabling exact, substructure, and similarity searches to identify relevant molecules. It solves problems in chemical research and development by providing access to a vast library of compounds. The tool takes SMILES strings as input and returns relevant compound matches, making it ideal for applications in drug discovery and chemical synthesis.

Canonical page: https://skillsregistry.net/skills/lukasmki-chemspace-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lukasmki-chemspace-mcp

## Description

Enables AI agents to search the Chemspace API for synthesizable building blocks and screening compounds using exact matches, substructure searches, and similarity searches by SMILES strings.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cr8x92ptm9)
- **Repository:** <https://github.com/lukasmki/chemspace-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": "lukasmki-chemspace-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lukasmki-chemspace-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lukasmki-chemspace-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