omniologynow-rgb/profitspot-mcp
by Various
The DeFi Brain for AI agents — give Claude the power to grade 6,500 liquidity pools across 86 chains. Risk scoring, Monte Carlo sims, impermanent loss, whale tracking. pip install
MCP
omniologynow-rgb/profitspot-mcp
Added 1 June 2026
Overview
A Python package that lets AI agents analyze over 6,500 liquidity pools across 86 blockchains. It provides risk scoring, Monte Carlo simulations, impermanent loss calculations, and whale tracking through a Model Context Protocol interface.
Best for
Best for
Developers building AI agents that need on-chain DeFi risk analysis across multiple blockchains
Use cases
- Evaluating liquidity pool risk before providing liquidity
- Simulating potential returns and impermanent loss scenarios
- Monitoring whale movements across multiple chains
Notes
A Python package that lets AI agents analyze over 6,500 liquidity pools across 86 blockchains. It provides risk scoring, Monte Carlo simulations, impermanent loss calculations, and whale tracking through a Model Context Protocol interface.
0 stars on GitHub. Last updated 2026-05-03. Licensed AGPL-3.0.
Use cases
- Evaluating liquidity pool risk before providing liquidity
- Simulating potential returns and impermanent loss scenarios
- Monitoring whale movements across multiple chains
Pros
- Covers a wide range of chains and pools for broad DeFi analysis
- Includes advanced risk tools like Monte Carlo simulations
- Easy to install and integrate with AI agents via pip
Cons
- Zero stars on GitHub suggests limited community adoption or testing
- Requires understanding of DeFi concepts to interpret results
- No documented examples or usage guides beyond the install command
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of chains and pools for broad DeFi analysis
- Includes advanced risk tools like Monte Carlo simulations
- Easy to install and integrate with AI agents via pip
Cons
- Zero stars on GitHub suggests limited community adoption or testing
- Requires understanding of DeFi concepts to interpret results
- No documented examples or usage guides beyond the install command
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