Overview of the Flow MCP Server

The Flow MCP Server is a specialized Model Context Protocol (MCP) endpoint that bridges AI assistants with the Flow blockchain. By exposing a concise set of tools—such as balance queries, domain resolution, script execution, and transaction handling—the server enables assistants like Claude to interact with Flow in a standardized way. This eliminates the need for custom SDK integrations or manual API calls, allowing developers to focus on higher‑level logic while the server handles the intricacies of network configuration and transaction signing.

At its core, the server solves a common pain point: how to safely and efficiently query or modify blockchain state from an AI tool. It offers a clean, declarative interface: each tool accepts JSON‑structured parameters and returns structured responses. For example, the tool lets an assistant retrieve a Flow account’s native token balance with a single request, while handles the full lifecycle of creating, signing, and broadcasting a Cadence transaction. By encapsulating these operations behind MCP tools, developers can expose blockchain capabilities to AI assistants without exposing private keys or managing node connections.

Key features include:

• Comprehensive Balance and Token Support – Retrieve both native Flow balances and fungible token holdings across mainnet, testnet, or emulator environments.
• Domain Resolution – Resolve and domains to Flow addresses, enabling human‑friendly identifiers in assistant conversations.
• Script Execution – Run arbitrary Cadence scripts for read‑only queries, supporting complex data retrieval without modifying state.
• Transaction Lifecycle Management – Submit transactions, monitor status via Server‑Sent Events (), and fetch transaction details by ID.
• Environment‑Aware Configuration – Switch networks or custom access nodes through environment variables, making the server adaptable to CI pipelines and local development.
• Health & Information Endpoints – for uptime checks and for quick server introspection, facilitating integration into broader monitoring stacks.

Real‑world scenarios illustrate its value: a decentralized finance (DeFi) assistant can answer “What’s my token balance?” by calling ; a marketplace bot can list items for sale by executing a Cadence script and then sending a transaction to mint an NFT; a developer helper can resolve domains when debugging smart contracts. In each case, the MCP server abstracts away network details, allowing the AI to focus on user intent.

Integrating the Flow MCP Server into an AI workflow is straightforward. Running the server in stdio mode () lets it communicate directly with an assistant’s tool configuration, while HTTP mode exposes RESTful endpoints that can be invoked from any environment. This flexibility means the server can serve as a local development proxy or a cloud‑hosted service behind authentication layers. Its lightweight design, combined with robust logging and health checks, makes it a dependable backbone for any application that requires reliable blockchain interaction from conversational agents.