NEAR Blockchain Integration
STDIOMCP compatible server for interacting with NEAR blockchain and enabling AI agent access.
MCP compatible server for interacting with NEAR blockchain and enabling AI agent access.
This project is a Model Context Protocol (MCP) compatible server for interacting with the NEAR blockchain. This tool provides a way for LLMs and AI agents to securely access and interact with NEAR accounts and blockchain functionality.
Here is how to get started with the near-mcp server quickly with the claude
code cli
npm install -g @anthropic-ai/claude-code
claude mcp add near-mcp npx @nearai/near-mcp@latest run
claude
Or deploy the MCP server remotely on Phala Cloud, check the instructions here
near-mcp
is meant to be used is with an MCP compatible client. Learn more in the MCP docs
Adding to the claude
code cli:
claude mcp add near-mcp npx @nearai/near-mcp@latest run
Adding to claude desktop via JSON config:
{ "mcpServers": { "near-mcp": { "command": "npx", "args": ["-y", "@nearai/near-mcp@latest", "run"], "env": {} } } }
Adding to goose
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ near-mcp
│
◇ What command should be run?
│ npx @nearai/near-mcp@latest run
│
◇ Please set the timeout for this tool (in secs):
│ 60
│
◇ Would you like to add environment variables?
│ No
│
└ Added near-mcp extension
Or you can install it globally and use it directly.
# Install globally npm install -g @nearai/near-mcp@latest # Or use directly with npx npx @nearai/near-mcp@latest run
see TOOLS.md for a list of available tools and arguments.
This tool is designed to be used with AI models that support the Model Context Protocol. It enables AI assistants to:
import_account
tool allows the model to import an account from a private key. This requires the user to provide the private key to the model.We welcome contributions to the NEAR MCP server! Please see the CONTRIBUTING.md file for more information.
If you find a bug or have a feature request, please open an issue on the GitHub repository.