About
A Python MCP server that lets AI agents buy, sell, and query tokens on PumpSwap using Solana RPC. It automates on‑chain trading with configurable slippage and priority fees.
Capabilities
Overview
The PumpSwap MCP server brings real‑time Solana token trading directly into AI assistant workflows. By exposing a set of high‑level tools—, , , and —developers can let their agents execute on‑chain swaps, fetch market data, and inspect liquidity pools without writing any blockchain code themselves. This eliminates the need for custom RPC handling or transaction signing logic in client applications, allowing developers to focus on higher‑level business logic.
At its core, the server solves the problem of bridging conversational AI with decentralized finance (DeFi) operations. When an assistant receives a user prompt like “Buy 0.1 SOL worth of tokens with mint XYZ,” the MCP server interprets that intent, constructs a valid swap transaction on PumpSwap, signs it with the provided private key, and returns a concise summary that includes the transaction ID, amount traded, and current token price. The same pattern applies to selling tokens or querying pool information, giving agents the ability to perform full‑cycle trades and market analysis in a single interaction.
Key capabilities of the PumpSwap MCP server include:
- Slippage and fee configuration: Each trade can be fine‑tuned with customizable slippage limits and priority fees, ensuring that agents can balance cost against execution certainty.
- Real‑time price discovery: The tool pulls the latest SOL value for any token mint, enabling agents to make informed decisions or trigger alerts.
- Pool introspection: exposes the underlying pool structure—mints, accounts, LP supply—which is valuable for advanced strategies such as liquidity provision or arbitrage.
- Secure transaction signing: By requiring a user‑supplied private key, the server keeps sensitive credentials out of the assistant’s memory while still allowing on‑chain actions.
Typical use cases span a wide range of scenarios: an AI‑driven trading bot that automatically rebalances a portfolio based on market signals; a customer support assistant that can demonstrate live swap outcomes for users; or a data analytics pipeline that aggregates token price and pool metrics across multiple assets. In each case, the MCP server abstracts away RPC intricacies, transaction construction, and error handling, letting developers prototype and deploy DeFi interactions at a fraction of the effort.
Because the server is built on Python 3.10+ and relies on a lightweight dependency manager, it can be deployed quickly in cloud environments or local machines. Its straightforward interface—tools that accept plain strings and numbers, return human‑readable summaries—makes it an ideal fit for integration with Claude or other AI assistants that support MCP. Developers gain a powerful, ready‑to‑use bridge between natural language commands and the PumpSwap protocol, unlocking automated trading and data access directly from conversational agents.
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