Phalcon MCP Server

Overview

Phalcon MCP is a dedicated Model Context Protocol server that bridges AI assistants with the rich analytics engine of BlockSec. By exposing a suite of blockchain‑centric tools, it lets language models query transaction details, state changes, and chain metadata in real time. The server addresses the core pain point of AI developers: accessing reliable, low‑latency on‑chain data without building custom parsers or maintaining full node infrastructure. Instead of relying on generic web APIs, Phalcon MCP offers a tightly coupled, schema‑driven interface that guarantees consistency and performance for AI workflows.

At its heart, Phalcon MCP delivers a catalog of transaction analysis tools. Developers can request a Trace to see every call in a transaction along with gas usage, or a Profile that aggregates flow‑of‑funds and token movements. For deeper inspection, StateChange exposes contract storage modifications, while BalanceChange reports precise token balances before and after execution. The TransactionOverview tool stitches these outputs into a single, comprehensive report, making it easy for an AI assistant to present a coherent narrative. In addition, the AddressLabel helper translates raw contract addresses into human‑readable labels such as token names or protocol identifiers, improving interpretability for end users.

Beyond transaction data, Phalcon MCP provides chain‑level utilities like GetChainIdByName. This lookup abstracts the mapping between user‑friendly names (e.g., “Ethereum”) and numeric chain IDs, enabling AI assistants to adapt queries dynamically across multiple networks. The server’s design emphasizes minimal latency and high throughput, making it suitable for interactive applications where an assistant must respond to user prompts in seconds.

Real‑world use cases abound. Security analysts can embed Phalcon MCP into a threat‑analysis pipeline, allowing an AI to automatically flag suspicious transfers or contract interactions. DeFi developers might use the Profile tool to audit smart‑contract upgrades, while compliance teams can leverage StateChange data to verify regulatory constraints. Educators could build tutoring bots that walk students through the inner workings of a transaction, visualizing gas consumption and state mutations in plain language. In each scenario, the MCP server abstracts away the complexity of blockchain querying, letting developers focus on higher‑level logic and user experience.

Integration is straightforward for any system that supports MCP. The server can be launched as a standalone binary, run in Docker, or embedded directly into Go applications via the provided stdio and in‑process modes. Once registered, AI assistants can list available tools, invoke them with structured parameters, and receive typed JSON responses. This seamless coupling ensures that AI models can fetch accurate blockchain data on demand, enhancing transparency, auditability, and trust in automated decision‑making.