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Axone Mcp
What is Axone Mcp
Axone’s MCP server is a lightweight implementation that serves as a gateway to the dataverse for AI-powered tools, facilitating seamless interaction with various data models and contexts.
Use cases
Use cases for axone-mcp include building AI-driven applications that require real-time data processing, developing machine learning models that need access to diverse datasets, and creating tools for data visualization and analysis.
How to use
To use axone-mcp, developers can integrate it into their applications by following the setup instructions provided in the documentation. This typically involves configuring the server and connecting it to the desired data sources.
Key features
Key features of axone-mcp include its lightweight architecture, support for multiple data models, ease of integration with AI tools, and robust performance metrics for monitoring and testing.
Where to use
Axone-mcp can be used in various fields such as data science, artificial intelligence, machine learning, and software development, where interaction with complex data models is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Axone Mcp
Axone’s MCP server is a lightweight implementation that serves as a gateway to the dataverse for AI-powered tools, facilitating seamless interaction with various data models and contexts.
Use cases
Use cases for axone-mcp include building AI-driven applications that require real-time data processing, developing machine learning models that need access to diverse datasets, and creating tools for data visualization and analysis.
How to use
To use axone-mcp, developers can integrate it into their applications by following the setup instructions provided in the documentation. This typically involves configuring the server and connecting it to the desired data sources.
Key features
Key features of axone-mcp include its lightweight architecture, support for multiple data models, ease of integration with AI tools, and robust performance metrics for monitoring and testing.
Where to use
Axone-mcp can be used in various fields such as data science, artificial intelligence, machine learning, and software development, where interaction with complex data models is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
axone-mcp
🤖 Axone’s MCP server – gateway to the dataverse for AI-powered tools
Axone’s MCP server
Axone’s MCP server is a lightweight implementation that
exposes Axone’s capabilities through the standardized Model-Context Protocol.
flowchart LR classDef actor stroke:#808 classDef system stroke:#0ff classDef resource stroke:#f00 actor:::actor@{ shape: stadium, label: "Host with MCP Client<br>(Claude, IDEs, Tools)" } mcpServer:::system@{ shape: rounded, label: "Axone<br>MCP server" } axone:::system@{ shape: das, label: "🔗 Axone chain" } actor -- query --> mcpServer mcpServer -. query .-> axone
Available tools
get_resource_governance_code
Get the governance code attached to the given resource (if any).
Input schema
{
"dataverse": {
"type": "string",
"description": "The address of the dataverse contract"
},
"resource": {
"type": "string",
"description": "The DID URI of the resource"
}
}
Installation
Get the latest release and put it in your $PATH or somewhere you can easily access.
Usage with Claude
Add this to your claude_desktop_config.json Claude Desktop configuration file:
{
"mcpServers": {
"axone": {
"command": "axone-mcp",
"args": [
"serve",
"stdio",
"--node-grpc",
"grpc.dentrite.axone.xyz:443"
]
}
}
}
Flags:
--node-grpc: The gRPC endpoint of the Axone node to connect to.
Run with SSE transport
axone-mcp serve sse --listen-addr localhost:8080 --node-grpc grpc.dentrite.axone.xyz:443
Run with STDIO transport
axone-mcp serve stdio --node-grpc grpc.dentrite.axone.xyz:443
Build
make build
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










