Osmosis

Osmosis

jonator

Connects to the Osmosis blockchain to perform DeFi operations like token swaps, balance queries, and account management. Requires your wallet mnemonic to interact with the protocol.

Provides a bridge to the Osmosis blockchain protocol for executing decentralized finance operations like token swaps, balance queries, and account management

9275 views5Local (stdio)

What it does

  • Execute token swaps on Osmosis DEX
  • Query account balances and transaction history
  • Manage Osmosis blockchain accounts
  • Broadcast transactions to the network
  • Access registry data and protocol information

Best for

DeFi traders automating swap strategiesDevelopers building Osmosis integrationsPortfolio managers tracking multi-chain assets
Direct blockchain integrationRequires wallet mnemonic

About Osmosis

Osmosis is a community-built MCP server published by jonator that provides AI assistants with tools and capabilities via the Model Context Protocol. Osmosis bridge for seamless DeFi on-chain swaps, balance queries, and account management on the Osmosis blockchain. It is categorized under finance, developer tools.

How to install

You can install Osmosis in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Osmosis is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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.

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 i

Start watch mode for local development:

bun run dev

To build:

bun run build

Alternatives

Related Skills

Browse all skills
finance-skills

Production-ready financial analyst skill with ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. 4 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.

55
ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

18
ai-sdk

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

6
api-documenter

Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.

4
openai-knowledge

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

4
cli-builder

Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.

3