# Osmosis MCP Server

> Use this tool when you need to interact with the Osmosis blockchain, as it provides a comprehensive suite of 158 tools for AI assistants to perform tasks such as basic queries and direct transaction execution. This server solves problems related to blockchain interaction, data retrieval, and transaction management, making it an ideal solution for use cases that require seamless integration with the Osmosis blockchain. It accepts input requests from AI assistants and outputs relevant data and transaction results, making it a crucial interface for blockchain-based applications.

Canonical page: https://skillsregistry.net/skills/myronkoch-dev-osmosis-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/myronkoch-dev-osmosis-mcp-server

## Description

A comprehensive Model Context Protocol server that provides AI assistants with 158 tools for interacting with the Osmosis blockchain, covering everything from basic queries to direct transaction execution.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dc8o4yvqhw)
- **Repository:** <https://github.com/MyronKoch-dev/mcp-osmosis>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "myronkoch-dev-osmosis-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/myronkoch-dev-osmosis-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/myronkoch-dev-osmosis-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
