Osmosis
Implements Vercel's AI SDK for the Osmosis Agent Toolkit, enabling LLM-powered applications to interact with the Osmosis protocol through Vercel's AI platform.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Osmosisshow me my current OSMO balance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Osmosis Agent Toolkit
Overview
This repository contains a collection of packages that are used to build the Osmosis Agent Toolkit. Large Language Models (LLMs) can use these tools to interact with the Osmosis protocol.
Related MCP server: Base Network MCP Server
Packages
@osmosis-agent-toolkit/core
The core package contains the core functionality that is used by the other packages. This is where registry data, query clients, and sign and broadcast logic is defined.
@osmosis-agent-toolkit/ai-sdk
An implementation of Vercel's AI SDK for the Osmosis Agent Toolkit.
@osmosis-agent-toolkit/mcp
Model Context Protocol (MCP) server implementation of the Osmosis Agent Toolkit.
Usage with Claude Desktop or Cursor
Add the following to your claude_desktop_config.json or .cursor/mcp.json. See here for more details.
{
"mcpServers": {
"Osmosis": {
"command": "npx",
"args": [
"-y",
"@osmosis-agent-toolkit/mcp"
],
"env": {
"OSMOSIS_MNEMONIC": "<your mnemonic here>"
}
}
}
}Development
Install dependencies using yarn or bun:
bun iStart watch mode for local development:
bun run devTo build:
bun run buildRelated MCP Connectors
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