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 "Install 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: mcp-lancedb
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 buildThis server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.