About
A Python-based MCP server that manages BSC wallets, balances, token transfers, swaps on PancakeSwap, and claims Beeper rewards. It offers a convenient API for developers to automate BSC operations with minimal setup.
Capabilities

Overview
The beeper-mcp server is a dedicated backend that bridges AI assistants with the Binance Smart Chain (BSC). By exposing a rich set of MCP tools, it lets developers treat BSC operations—such as balance checks, token transfers, and decentralized exchange trades—as first‑class actions within an LLM workflow. This eliminates the need to write custom blockchain code for each use case, enabling rapid prototyping and production‑grade automation directly from conversational interfaces.
At its core, the server manages a single BSC wallet and an optional default token address. It provides straightforward queries for retrieving native BNB balances or ERC‑20 token holdings, and it handles the signing and broadcasting of transactions using a private key supplied via environment variables. Because every operation returns a detailed response object—including transaction hashes, status flags, and gas usage—developers can easily track progress or surface real‑time updates back to the user.
Beyond simple transfers, beeper-mcp integrates with PancakeSwap, a leading BSC DEX. The , , and tools let the assistant execute market orders, fetch on‑chain price data, and even claim staking rewards for specific tokens. These capabilities make the server ideal for automated trading bots, yield‑harvesting strategies, or reward collection pipelines that are triggered by natural language commands.
Integration is seamless: an AI assistant can call any of the exposed tools, receive a structured JSON response, and embed that information in the conversation. For example, a user might ask “Show my wallet balance and buy 10 BNB worth of CAKE,” and the assistant would orchestrate the balance check, token swap, and confirmation in a single interaction. The server’s built‑in error handling ensures that outliers—such as insufficient gas or invalid addresses—are reported cleanly, allowing the assistant to guide the user toward resolution.
Unique advantages of this MCP include native support for both BSC mainnet and testnet, a lightweight API that requires no external dependencies beyond the standard Python ecosystem, and an SSE transport option for real‑time updates. Together, these features empower developers to build sophisticated blockchain workflows that feel natural and responsive within conversational AI environments.
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