Catalysishub MCP Server

Community Data and databases

Unofficial access to the Catalysis Hub database: search and retrieve computational catalysis research and surface reaction data.

What can you do with Catalysishub MCP Server?

  • Direct GraphQL Access: Execute any valid GraphQL query against Catalysis Hub's API
  • Comprehensive Data Access:
  • MCP Standard Compliance: Implements the Model Context Protocol for AI-agent interoperability
  • Flexible Query Support: Execute complex queries with variables parameterization
  • Error Handling: Robust error reporting for API connectivity and query execution

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Catalysis Hub MCP Server
  2. Key Features
  3. License and Citation
  4. Implementation Details
  5. Setup & Installation
  6. Usage Examples
  7. Query Optimization Tips
  8. Response Structure
  9. Troubleshooting
  10. Acknowledgements

Catalysis Hub MCP Server

A Model Context Protocol (MCP) server interface to Catalysis Hub's GraphQL API, enabling programmatic access to catalysis research data through flexible GraphQL queries.

Key Features

  • Direct GraphQL Access: Execute any valid GraphQL query against Catalysis Hub's API
  • Comprehensive Data Access:
    • Catalytic reactions (equations, conditions, catalysts)
    • Material systems (structures, properties, descriptors)
    • Research publications (titles, DOIs, authors)
    • Surface reaction data (adsorption energies, binding sites)
  • MCP Standard Compliance: Implements the Model Context Protocol for AI-agent interoperability
  • Flexible Query Support: Execute complex queries with variables parameterization
  • Error Handling: Robust error reporting for API connectivity and query execution

License and Citation

This project is available under the MIT License with an Academic Citation Requirement. This means you can freely use, modify, and distribute the code, but any academic or scientific publication that uses this software must provide appropriate attribution.

For academic/research use:

If you use this software in a research project that leads to a publication, presentation, or report, you must cite this work according to the format provided in CITATION.md.

For commercial/non-academic use:

Commercial and non-academic use follows the standard MIT License terms without the citation requirement.

By using this software, you agree to these terms. See LICENSE.md for the complete license text.

Implementation Details

  • Server Configuration (matches claude_desktop_config.json):
    {
      "command": "/Users/quentincody/.env/bin/python3",
      "args": ["/Users/quentincody/catalysishub-mcp-server/catalysishub_mcp_server.py"],
      "options": {
        "cwd": "/Users/quentincody/catalysishub-mcp-server"
      }
    }
  • Core Dependency: httpx for asynchronous HTTP requests
  • Transport: Standard input/output communication following MCP specifications

Setup & Installation

  1. Clone the repository:
     git clone <repository_url>
     cd catalysishub-mcp-server
  2. Install dependencies:
     pip install -r requirements.txt
  3. Verify installation:
     python3 catalysishub_mcp_server.py --version
     # Should output: catalysishub-mcp-server 0.1.0

Usage Examples

Basic Query Execution
from mcp.client import MCPClient

async with MCPClient("catalysishub") as hub:
    result = await hub.catalysishub_graphql(
        query="""{
            reactions(first: 5) {
                edges {
                    node {
                        id
                        Equation
                        Temperature
                    }
                }
            }
        }"""
    )
    print(json.loads(result))
Parameterized Query with Variables
variables = {
    "materialId": "mp-1234",
    "firstResults": 5
}

response = await hub.catalysishub_graphql(
    query="""query GetMaterial($materialId: String!, $firstResults: Int!) {
        systems(uniqueId: $materialId) {
            edges {
                node {
                    energy
                    Cifdata
                    relatedReactions(first: $firstResults) {
                        edges {
                            node {
                                id
                                Equation
                            }
                        }
                    }
                }
            }
        }
    }""",
    variables=variables
)

Query Optimization Tips

  1. Use GraphQL Fragments:
     fragment ReactionDetails on Reaction {
         id
         Equation
         ActivationEnergy
         Catalyst {
             formula
             surface
         }
     }
    
     query {
         reactions(first: 10) {
             edges {
                 node {
                     ...ReactionDetails
                 }
             }
         }
     }
  2. Batch Related Queries:
     query BatchQuery {
         reactions: reactions(first: 5) { edges { node { id Equation } } }
         materials: systems(first: 5) { edges { node { formula energy } } }
     }

Response Structure

Successful responses follow this structure:

{
    "data": { /* Query results */ },
    "extensions": {
        "responseMetadata": {
            "requestDuration": 145,
            "apiVersion": "2024-06"
        }
    }
}

Error responses include detailed diagnostics:

{
    "errors": [{
        "message": "Cannot query field 'invalidField' on type 'Reaction'",
        "locations": [{"line": 5, "column": 21}],
        "path": ["query", "reactions", "edges", "node", "invalidField"]
    }]
}

Troubleshooting

Common Issues:

  • HTTP Request Error: Verify network connectivity to api.catalysis-hub.org
  • JSON Decode Error: Check query syntax using Catalysis Hub's GraphQL Playground
  • Timeout Errors: Add timeout parameter to complex queries

Acknowledgements

This project builds on the Model Context Protocol (MCP) framework and is designed to interface with the Catalysis Hub database, a comprehensive resource for catalysis research data.

Frequently asked questions

What is Catalysishub MCP Server?

Unofficial access to the Catalysis Hub database: search and retrieve computational catalysis research and surface reaction data.

How do I install Catalysishub MCP Server?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Catalysishub MCP Server open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Catalysishub MCP Server?

It is published by QuentinCody. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.