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xPilot MCP Server Library

MCP Server

Modular servers for model context provisioning

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About

A collection of Model Context Protocol (MCP) servers that enable xPilot to supply contextual data and tools to LLMs, including MultiversX API services and SDK CLI integrations.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

mcp_settings

The xPilot MCP Server Library is a modular hub that lets developers extend the capabilities of AI assistants by exposing external services, SDKs, and data sources through the Model Context Protocol (MCP). By running a lightweight server for each desired tool, an LLM can request real‑world actions—such as querying a blockchain API or invoking a command‑line SDK—and receive structured responses that the assistant can incorporate into its replies. This pattern eliminates the need for custom integrations inside the LLM itself, enabling a clean separation between model logic and external functionality.

At its core, the library ships three ready‑made servers tailored for the MultiversX ecosystem. The MultiversX API Service server forwards HTTP requests to the network’s REST endpoints, allowing an assistant to fetch account balances, transaction histories, or contract state in real time. The MultiversX Python SDK CLI server wraps the command‑line tools, exposing high‑level actions like deploying or interacting with smart contracts via a simple JSON interface. Complementing this, the MultiversX Rust SDK CLI server exposes tooling, letting developers query metadata or compile contracts directly from the assistant. Each server is configurable through , where developers can specify command, arguments, environment variables (for API keys), and auto‑approval rules.

For developers building AI workflows that need to interact with live blockchain data or perform on‑chain operations, this library provides a plug‑and‑play solution. An assistant can ask the user for a wallet address, then query the API service to return the current balance; or it can guide the user through deploying a new contract by invoking the Rust SDK CLI, all without exposing sensitive credentials or complex networking logic to the LLM. The auto‑approve feature further streamlines routine tasks, automatically confirming actions that are deemed safe.

What sets xPilot apart is its emphasis on developer ergonomics. The repository includes a clear folder layout, template servers for rapid extension, and detailed configuration options that let teams lock down which actions are permitted. Because MCP is an open standard, any new tool can be added by writing a thin Node.js wrapper and updating the configuration—no changes to the LLM or its prompt engineering are required. This modularity makes it easy to iterate on tooling, roll out updates independently, and maintain auditability of external calls.

In practice, teams can use the library to build a “smart contract assistant” that not only explains Solidity syntax but also compiles, deploys, and queries contracts on MultiversX. Or they can create a compliance bot that pulls real‑time chain data to verify transaction integrity before advising users. By decoupling the LLM from external services, xPilot enables reliable, secure, and scalable AI applications that can adapt to new protocols or SDKs with minimal friction.