PatSnap Chemical Molecular

SSE

by patsnap

209 downloads Not rated yet

About

PatSnap Chemical Molecular MCP is a Model Context Protocol server that equips AI agents with chemical intelligence capabilities, covering compound structure search, fragment analysis, and ADMET property prediction. Built on PatSnap's global life sciences platform, it accelerates

Details

Transport
SSE

Explore

- Compound structure search
- Fragment analysis
- ADMET property prediction

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name PatSnap Chemical Molecular
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

``json
{
"mcpServers": {
"patsnap-chemical-molecular": {
"url": "https://connect.patsnap.com/713886/logic-mcp?apikey=YOUR_API_KEY",
"type": "streamableHttp"
}
}
}
``

ls_structure_search

Search chemical structures. Use this tool when the user wants to search compounds by chemical structure. The Python service only keeps the MCP request parameters and forwards the payload to the downstream chemical endpoint. Args: smiles: str, query structure in SMILES format, example "CC(=O)OC1=C(C=CC=C1)C(O)=O" type: str, search type, supports "EXT" and "SIM" include_multi_component: bool, whether to include multi-component compounds, valid for EXT type only, default true i…

ls_structure_fetch

Fetch chemical structure details in batch. Batch fetch full detail records by InChIKey. Args: inchi_keys: List[str]. InChIKey list used to fetch compound details. Maximum 100 identifiers per request. Returns: dict[str, Any]: Response body: { "items": [ { "inchi_key": "BSYNRYMUTXBXSQ-UHFFFAOYSA-N", "compound_name": "ASPIRIN", "molecular_formula": "C9H8O4", "canonical_smiles": "CC(=O)Oc1ccccc1…

ls_patent_structure_fetch

Fetch patent-related chemical structures. Batch fetch chemical structures associated with a patent by patent ID or patent number. Args: patent_id: str, patent ID used to fetch related structures. pn: str, patent number used to resolve patent ID before fetching structures. offset: int, pagination offset, starting from 0. limit: int, page size. Maximum 100. Returns: dict[str, Any]: Response body: { "total": 28, "items": [ { …

ls_admet_predict

Predict ADMET properties for a list of molecules. Use this tool when the user wants to evaluate drug-likeness or pharmacokinetic properties of small molecules. It calls the ADMET-AI model to predict absorption, distribution, metabolism, excretion, and toxicity properties for each input SMILES. Args: smiles: List[str]. List of SMILES molecular formula strings. Each element must be a valid SMILES string (e.g. "CC(=O)Oc1ccccc1C(=O)O"). Minimum 1, maximum 100 molecules per r…

ls_chemical_mcs_analyze

Analyze fragment composition from multiple chemical structures. Use this tool when the user wants to analyze fragment distribution from a set of SMILES structures. It analyzes the frequent fragments and count how many times each fragment appears across the input structures. Args: structures: List[str]. List of SMILES structures to analyze. Must contain at least one valid SMILES string (e.g. ["CCO", "CC(C)O", "c1ccccc1"]). Returns: Dict[str, Any]: MCS analysis response. Sche…

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "patsnap chemical molecular": {
            "patsnap-chemical-molecular": {
                "url": "https://connect.patsnap.com/713886/logic-mcp?apikey=YOUR_API_KEY",
                "type": "streamableHttp"
            }
        }
    }
}

McpServers

{
    "patsnap-chemical-molecular": {
        "url": "https://connect.patsnap.com/713886/logic-mcp?apikey=YOUR_API_KEY",
        "type": "streamableHttp"
    }
}
PatSnap Chemical Molecular MCP is a Model Context Protocol server that equips AI agents with chemical intelligence capabilities, covering compound structure search, fragment analysis, and ADMET property prediction. Built on PatSnap's global life sciences platform, it accelerates molecular evaluation and lead optimization in early-stage drug discovery. Homepage: https://open.patsnap.com/marketplace/mcp-servers/chemical-molecular GitHub Repository: https://github.com/patsnap/mcp/tree/main/life-sciences/patsnap-chemical-molecular

Server Config

``json { "mcpServers": { "patsnap-chemical-molecular": { "url": "https://connect.patsnap.com/713886/logic-mcp?apikey=YOUR_API_KEY", "type": "streamableHttp" } } } ``
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