# Dune Query MCP

> Use this tool when you need to integrate blockchain data into AI applications, enabling large language models (LLMs) to access on-chain data through natural language interactions. The Dune Query MCP bridges Dune Analytics blockchain data to AI applications via Model Control Protocol, solving data accessibility and integration challenges. It accepts natural language inputs and returns relevant on-chain data outputs, ideal for use cases requiring seamless interaction between blockchain and AI systems.

Canonical page: https://skillsregistry.net/skills/olaxbt-dune-query-mcp  
JSON: https://api.skillsregistry.net/v1/skills/olaxbt-dune-query-mcp

## Description

A bridge that connects Dune Analytics blockchain data to AI applications through Model Control Protocol, allowing LLMs to access on-chain data via natural language interactions.

## Trust

- **Trust score (0–1):** 1.00
- **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/ada80zl0zr)
- **Repository:** <https://github.com/olaxbt/dune-query-mcp>

## 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": "olaxbt-dune-query-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olaxbt-dune-query-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olaxbt-dune-query-mcp/pull`

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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