kukapay/dex-pools-mcp
by Various
An MCP server that provides AI agents with real-time access to DEX liquidity pool data.
MCP
kukapay/dex-pools-mcp
Added 1 June 2026
Overview
A Python-based MCP server that exposes real-time decentralized exchange liquidity pool data to AI agents. It uses the Model Context Protocol to allow agents to query pool information programmatically.
Best for
Best for
Developers building AI agents that need live, on-chain DEX liquidity data without building their own data pipeline.
Use cases
- Fetch current liquidity pool reserves and metrics for trading analysis by an AI agent
- Integrate real-time DEX data into an agent-based portfolio monitoring system
- Enable an AI assistant to answer user questions about specific liquidity pools
Notes
A Python-based MCP server that exposes real-time decentralized exchange liquidity pool data to AI agents. It uses the Model Context Protocol to allow agents to query pool information programmatically.
1 stars on GitHub. Last updated 2025-10-01. Licensed MIT.
Use cases
- Fetch current liquidity pool reserves and metrics for trading analysis by an AI agent
- Integrate real-time DEX data into an agent-based portfolio monitoring system
- Enable an AI assistant to answer user questions about specific liquidity pools
Pros
- Follows the MCP standard, making it straightforward to plug into AI agent frameworks
- Provides real-time data directly from DEX pools without requiring a custom API integration
- Lightweight Python implementation that is easy to deploy and modify
Cons
- Very early-stage project with only 1 GitHub star and minimal community validation
- Limited documentation and no evidence of production testing or reliability guarantees
- Dependence on external DEX data sources may introduce latency or availability issues
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Follows the MCP standard, making it straightforward to plug into AI agent frameworks
- Provides real-time data directly from DEX pools without requiring a custom API integration
- Lightweight Python implementation that is easy to deploy and modify
Cons
- Very early-stage project with only 1 GitHub star and minimal community validation
- Limited documentation and no evidence of production testing or reliability guarantees
- Dependence on external DEX data sources may introduce latency or availability issues
Pairs with
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