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kukapay/pumpswap-mcp

by Various

An MCP server that enables AI agents to interact with PumpSwap for real-time token swaps and automated on-chain trading.

K

MCP

kukapay/pumpswap-mcp

Added 1 June 2026

Overview

An MCP server that lets AI agents perform real-time token swaps and automated on-chain trading on PumpSwap. Written in Python, it provides a standardized interface for agents to execute trades programmatically.

Best for

Best for
Developers building autonomous trading agents on PumpSwap

Use cases

  • Building automated trading bots on PumpSwap
  • Integrating real-time token swaps into AI agent workflows
  • Executing on-chain trades triggered by market conditions

How to use

Install

uv run main.py

Tools exposed

  • buy_token
  • sell_token
  • get_token_price
  • get_pool_data

Example client config

HTTPS_RPC_ENDPOINT=https://api.mainnet-beta.solana.com\nBUY_SLIPPAGE=0.3\nSELL_SLIPPAGE=0.1\nSWAP_PRIORITY_FEE=1500000\nPRIVATE_KEY=your-solana-private-key

Notes

An MCP server that lets AI agents perform real-time token swaps and automated on-chain trading on PumpSwap. Written in Python, it provides a standardized interface for agents to execute trades programmatically.

6 stars on GitHub. Last updated 2025-05-06. Licensed MIT.

Use cases

  • Building automated trading bots on PumpSwap
  • Integrating real-time token swaps into AI agent workflows
  • Executing on-chain trades triggered by market conditions

Pros

  • Enables direct on-chain trading from AI agents
  • Real-time swap execution without manual intervention
  • Python-based, easy to integrate with existing AI stacks

Cons

  • Low GitHub star count suggests early-stage or niche adoption
  • Limited community and documentation may slow onboarding
  • Relies on network conditions and PumpSwap availability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables direct on-chain trading from AI agents
  • Real-time swap execution without manual intervention
  • Python-based, easy to integrate with existing AI stacks

Cons

  • Low GitHub star count suggests early-stage or niche adoption
  • Limited community and documentation may slow onboarding
  • Relies on network conditions and PumpSwap availability
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