# MCPs

***

## Dune Query MCP

A modern bridge connecting Dune Analytics data to intelligent agents through Model Control Protocol (MCP).

### Overview

DuneLink enables seamless integration of blockchain data analytics into your AI applications. By leveraging Dune Analytics' powerful query capabilities with the Model Control Protocol, this service allows LLMs and other AI systems to access on-chain data through simple, natural language interactions.

### Core Capabilities

#### Data Retrieval Tools

| Tool                | Description                          | Use Case                      |
| ------------------- | ------------------------------------ | ----------------------------- |
| `get_latest_result` | Retrieves pre-computed query results | Quick access to existing data |
| `run_query`         | Executes a query on-demand           | Real-time data analysis       |

### Architecture

```
dunelink/
├── app/                       # Application core
│   ├── __init__.py            # Flask & MCP setup
│   ├── routes/                # API endpoint definitions
│   │   └── dune_routes/       # Dune Analytics routes
│   │   └── templates/             # Web interface
│   └── templates/             # Web interface
├── config/                    # Configuration files
├── logs/                      # Runtime logs
├── flask_app.py               # Web server entry point
├── run.py                     # MCP server entry point
└── requirements.txt           # Dependencies
```

For the set up guide and advance configuration etc.,  please visit [Dune Query MCP Github Repository](https://github.com/olaxbt/dune-query-mcp) .&#x20;

***

## KOL Sentiment MCP

A Model Context Protocol (MCP) implementation for Key Opinion Leader sentiment analysis using the Masa AI API.

### Overview

KOL Sentiment MCP provides a standardized interface for AI assistants to analyze Key Opinion Leaders (KOLs) on social media platforms. It leverages the Masa AI API for powerful semantic search and data retrieval, allowing for sentiment analysis, topic extraction, and trend identification without direct API access.

### Features

* Search for KOL content across platforms
* Analyze sentiment of KOL posts
* Extract trending topics from KOL content
* Generate comprehensive KOL sentiment analysis
* Identify trends across multiple KOLs
* Support for both live and indexed (historical) data
* Secure and rate-limited API access
* Detailed logging and error handling

### Architecture

```
kol-sentiment-mcp/
├── app/
│   ├── handlers/        # Action handlers
│   ├── routes/          # API routes
│   ├── services/        # Core services
│   ├── templates/       # HTML templates
│   └── utils/           # Utilities
├── logs/                # Log files
├── tests/               # Test cases
├── .env                 # Environment variables
├── .env.example         # Example environment file
├── requirements.txt     # Dependencies
├── run.py               # Main entry point
└── README.md            # Documentation
```

For the set up guide and sample queries etc.,  please visit [Dune Query MCP Github Repository](https://github.com/olaxbt/dune-query-mcp) .&#x20;

***

## Solana Vault MCP

A Model Context Protocol (MCP) implementation for secure Solana blockchain wallet operations in python.

### Overview

Solana Vault MCP provides secure wallet operations for Solana blockchain through a standardized Model Context Protocol interface. It allows AI assistants to securely interact with the Solana blockchain without direct access to private keys.

### Features

* Secure Solana wallet operations
* SOL balance checking
* SOL transfer capabilities
* Transaction history retrieval
* Model Context Protocol compliant API
* Support for Flask web server and WebSocket connections
* Detailed logging and error handling

### Project Structure

```
solana-vault-mcp/
├── app/
│   ├── handlers/        # Action handlers
│   ├── routes/          # API routes
│   ├── services/        # Core services
│   └── utils/           # Utilities
├── logs/                # Log files
├── tests/               # Test cases
├── .env                 # Environment variables
├── .env.example         # Example environment file
├── requirements.txt     # Dependencies
├── run.py               # Main entry point
└── README.md            # Documentation
```

For the set up guide, usage and sample queries etc.,  please visit [Solana Vault  MCP Github Repository](https://github.com/olaxbt/solana-vault-mcp) .&#x20;

##


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://olaxbt-docs.gitbook.io/olaxbt-doc/technical-architecture/the-mcp-layer/mcps.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
