NebulaBlock API MCP Server

The NebulaBlock API MCP server bridges the gap between AI assistants and the NebulaBlock ecosystem, exposing every endpoint of the NebulaBlock API as a first‑class tool within any Model Context Protocol (MCP) environment. By leveraging the framework, it translates API calls into structured tool invocations that an assistant can understand and execute on demand. This eliminates the need for developers to manually write wrappers or manage authentication flows, allowing AI agents to retrieve blockchain data, submit transactions, and query on‑chain analytics with a single, declarative command.

At its core, the server handles authentication via an API key that can be supplied either as a command‑line flag or through a file. Once authenticated, the server registers a suite of tools that mirror NebulaBlock’s RESTful endpoints: querying account balances, inspecting token metadata, monitoring network health, and submitting raw transactions. Each tool is annotated with input schemas and response types, ensuring that the AI assistant can validate arguments before dispatching a request. This level of introspection is invaluable for developers building data‑driven workflows, as it guarantees type safety and reduces runtime errors.

Key capabilities include:

• Comprehensive API coverage – every NebulaBlock endpoint is exposed, from simple read operations to complex transaction broadcasts.
• Automatic request signing – the server handles cryptographic signing internally, so the assistant only supplies transaction parameters.
• Real‑time data access – tools can query live blockchain state, enabling dynamic decision‑making in AI agents.
• Extensible tool set – developers can add custom tools by extending the module without modifying client code.

Real‑world use cases span automated portfolio monitoring, decentralized application (dApp) testing, and AI‑powered financial analysis. For instance, a trading bot can ask the assistant to “fetch the latest price of token X and place a limit order if conditions are met,” all without manual HTTP handling. In QA, developers can script end‑to‑end tests that invoke the same tools the assistant uses, ensuring consistency across environments.

Integrating the server into an MCP workflow is straightforward: configure the client’s to point to the server executable and provide the API key. Once connected, the assistant gains instant access to NebulaBlock data as if it were a local library. This seamless integration empowers developers to prototype complex blockchain interactions, iterate on logic with natural language prompts, and deploy robust AI agents that interact safely and efficiently with the NebulaBlock network.