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untitledfinancial/dpx-mcp

by Various

MCP server for DPX — AI intelligence oracle and institutional cross-border settlement rail via Base mainnet

U

MCP

untitledfinancial/dpx-mcp

Added 1 June 2026

#ai-agents #base #blockchain #cross-border-payments #esg #eurc #fintech #institutional-finance

Overview

An MCP server that provides an AI intelligence oracle and institutional cross-border settlement rail via the Base mainnet. It enables AI agents to query on-chain data and execute settlement operations through the DPX protocol.

Best for

Best for
Developers building AI agents that need on-chain oracle data and settlement on Base mainnet

Use cases

  • Querying DPX oracle data for AI agent decision-making
  • Executing cross-border settlements on Base mainnet
  • Integrating institutional settlement capabilities into AI workflows

Notes

An MCP server that provides an AI intelligence oracle and institutional cross-border settlement rail via the Base mainnet. It enables AI agents to query on-chain data and execute settlement operations through the DPX protocol.

0 stars on GitHub. Last updated 2026-05-18. Licensed MIT.

Use cases

  • Querying DPX oracle data for AI agent decision-making
  • Executing cross-border settlements on Base mainnet
  • Integrating institutional settlement capabilities into AI workflows

Pros

  • Direct on-chain settlement via Base mainnet
  • Combines oracle and settlement in one MCP server
  • JavaScript-based, easy to integrate with existing MCP clients

Cons

  • Zero stars indicates very early stage or limited adoption
  • Dependent on Base mainnet availability and fees
  • Narrow focus on institutional cross-border use case

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

Pros

  • Direct on-chain settlement via Base mainnet
  • Combines oracle and settlement in one MCP server
  • JavaScript-based, easy to integrate with existing MCP clients

Cons

  • Zero stars indicates very early stage or limited adoption
  • Dependent on Base mainnet availability and fees
  • Narrow focus on institutional cross-border use case