Stellar MCP Server

Stellar MCP is a Model Context Protocol server that bridges large language models with the Stellar blockchain ecosystem. By exposing a rich set of tools for both the classic Stellar network and Soroban smart contracts, it lets AI assistants perform real‑world blockchain operations—such as creating accounts, sending payments, managing assets, and deploying contracts—directly from conversational prompts. For developers building AI‑powered financial services, decentralized applications, or automated trading bots, Stellar MCP removes the friction of manual SDK usage and provides a standardized interface that can be invoked by any LLM supporting MCP.

The server’s value lies in its comprehensive coverage of Stellar’s capabilities. It offers classic operations like account creation, balance queries, payments, and transaction history retrieval, as well as advanced features such as asset issuance, trustline management, claimable balances, and testnet funding via Friendbot. Each tool is described with clear input requirements, enabling the model to construct precise calls without manual parameter mapping. For Soroban developers, the server bundles contract build‑and‑optimize and deployment tools that automate compilation, optimization, and network publishing—tasks that traditionally require command‑line interactions and complex tooling chains.

Key features include:

• Unified API surface for classic and Soroban operations, allowing a single assistant to switch contexts seamlessly.
• Security‑first design: sensitive data like secret keys are passed as parameters, keeping the model free from direct key handling while still enabling authenticated actions.
• Rich asset support: create custom assets, set trust limits, and manage claimable balances with conditional predicates.
• Developer convenience: Friendbot funding for testnet, automated WASM optimization, and detailed logs for debugging.
• Extensibility: the tool set can be expanded with additional Stellar endpoints or custom smart contract workflows.

Typical use cases span from fintech chatbots that can open new user wallets and process payments, to automated market makers that issue liquidity tokens on Soroban. In a regulatory compliance scenario, an AI assistant could generate audit‑ready transaction histories or enforce trustline limits. For educational platforms, the server can demonstrate blockchain concepts through interactive prompts that create assets or claimable balances in a sandbox environment.

Integrating Stellar MCP into an AI workflow is straightforward: the LLM issues a tool call with the desired operation and parameters; the server executes the blockchain transaction, returns the result or status, and the assistant can then explain outcomes to the user. This tight loop enables conversational agents that are not only knowledgeable but also capable of executing complex financial actions in real time, dramatically accelerating development cycles and enhancing user experience.