Last updated 3 months ago

Cardanoscan for AI Agents: Open Source MCP Server

Problem

AI agents lack structured access to Cardano blockchain data. No open infrastructure currently exists for them to query Cardano data reliably and safely.

Solution

We will build and host an open-source MCP server that interfaces with the Cardanoscan API, enabling AI agents to access Cardano data with verified, secure, and structured tools.

Total to date

This is the total amount allocated to Cardanoscan for AI Agents: Open Source MCP Server.

₳99,500
Total funds requested
187
Total votes cast
₳65.8M
Votes yes
₳6.4M
Votes abstain

About this idea

Team

Strica will execute this project with our in-house team -- experienced Cardano engineers, Ledger integrators, and front-end/mobile specialists -- bringing deep domain knowledge in protocol design, explorer APIs, agent integrations, and production deployments.

Team Members & Roles:

  • **Ashish Prajapati – Project Lead & Community Liaison: **Oversees overall execution, roadmap and delivery standards for the MCP server and hosted service. Coordinates with external partners and community stakeholders, prioritizes features for agent integrations (e.g., Copilot/Claude), and ensures the project meets open-source governance and operational reliability goals.
  • **Pavan Vora – Cardano Backend Engineer: **Owns MCP server implementation and Cardanoscan API integration. Designs and implements high-level query tools (balances, tx history, stake/dRep lookups, governance queries), builds efficient data access layers, and leads testing for correctness, performance, and protocol compatibility.
  • **Prashanth Soordelu – Frontend & Agent Integration Engineer: **Leads UX and developer-facing integrations: builds the tool registration surface for agent systems, authorizes structured query formats, produces ready-to-use integration examples (VS Code Copilot, Claude Code), and writes the self-hosting guide and sample configs so projects can deploy their own MCP instances.
  • Mehul Prajapati – Deployment Engineer: Responsible for deploying and operating the hosted MCP service. Manages CI/CD, containerization, automated deployments, authentication, monitoring, scaling, and performance tuning to ensure a stable, secure, and reliable hosted endpoint for the community.