Spokeagent
S

Spokeagent

SPOKEAgent is a server based on the MCP protocol for querying the SPOKE biomedical knowledge graph, supporting the execution of Cypher queries and obtaining the graph schema. It can connect to the pre - set SPOKE database without additional configuration.
2 points
0

What is SPOKEAgent?

SPOKEAgent is a server based on the Model Context Protocol (MCP), specifically designed to query the SPOKE biomedical knowledge graph. SPOKE (Scalable Precision medicine Oriented Knowledge Engine) is a large - scale biomedical knowledge graph that integrates information from multiple data sources and supports precision medicine research. Through SPOKEAgent, users can easily execute Cypher queries to explore the relationships between biomedical entities such as diseases, genes, and drugs.

How to use SPOKEAgent?

Using SPOKEAgent is very simple: First, install it from GitHub using the uvx tool. Then, configure the server address in your MCP client (such as Claude Desktop). After the configuration is completed, you can explore the SPOKE knowledge graph through natural language or direct Cypher queries. All database connection parameters are pre - configured, and no additional settings are required.

Applicable scenarios

SPOKEAgent is particularly suitable for the following scenarios: Biomedical researchers exploring the associations between diseases and genes, drug discovery teams looking for potential therapeutic targets, academic institutions conducting biomedical data analysis, and precision medicine projects integrating multi - source biomedical information. Whether you are a bioinformatics expert or a medical researcher, you can quickly obtain biomedical knowledge through SPOKEAgent.

Main features

SPOKE knowledge graph query
Execute Cypher query statements to perform data retrieval and analysis on the SPOKE biomedical knowledge graph, supporting the exploration of complex biomedical relationships.
Automatically obtain the graph schema
Get the complete structural information of the SPOKE knowledge graph with one click, including all node types, attributes, and relationship types, to help users understand the available data model.
Zero - configuration access
All SPOKE database connection parameters are pre - configured. Users do not need to set the database URL, username, password, or database name. It is ready to use out of the box.
Read - only secure access
The server enforces read - only access rights to ensure the data security of the SPOKE knowledge graph and prevent accidental modification or deletion operations.
Advantages
Pre - configured connection: Start querying immediately without complex database settings
User - friendly: Integrate with various AI assistants through the MCP protocol to provide natural language interaction
Professional data source: Access the authoritative SPOKE biomedical knowledge graph with high - quality data
Safe and reliable: Read - only access ensures data integrity, suitable for research and analysis scenarios
Limitations
Read - only operation: Unable to modify or update the data in the SPOKE database
Network dependency: Requires a stable network connection to access the remote SPOKE server
Query complexity: Basic knowledge of Cypher query language is required for optimal results
Specific domain: Mainly targeted at the biomedical field, with limited applications in other fields

How to use

Install SPOKEAgent
Install SPOKEAgent from the GitHub repository using the uvx tool. uvx is a Python package manager that can automatically handle dependencies.
Configure the MCP client
Add the SPOKEAgent server configuration to the configuration file of your MCP client (such as Claude Desktop).
Start and use
Restart the MCP client, and SPOKEAgent will start automatically. You can now query the SPOKE knowledge graph through an AI assistant or direct tool calls.

Usage examples

Disease - gene association analysis
Researchers want to understand which genes have the strongest associations with Alzheimer's disease to further study potential biomarkers and therapeutic targets.
Drug mechanism of action exploration
A drug R & D team needs to understand the mechanism of action of a known drug, including the genes, proteins, and biological pathways it affects.
Disease comorbidity analysis
Clinicians want to understand the shared genetic basis between two common chronic diseases (such as diabetes and cardiovascular disease) to explain why they often occur together.

Frequently Asked Questions

Do I need to have experience with Neo4j or Cypher queries to use SPOKEAgent?
Can SPOKEAgent modify the data in the SPOKE database?
If I haven't installed uvx, can I install it in other ways?
Which MCP clients does SPOKEAgent support?
Is there a fee for querying the SPOKE knowledge graph?

Related resources

SPOKEAgent GitHub repository
The source code and latest version of SPOKEAgent
Model Context Protocol official documentation
The official documentation and specifications of the MCP protocol
SPOKE project official website
The official website and project information of the SPOKE knowledge graph
Cypher query language tutorial
The official tutorial of the Neo4j Cypher query language
Claude Desktop download
The Claude desktop application integrated with MCP

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "spokeagent": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/Broccolito/SPOKEAgent", "spokeagent"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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