Last updated 2 weeks ago
AI agents lack structured access to Cardano blockchain data. No infrastructure currently exists for them to query Cardano data reliably and safely.
Offer a fully managed, enterprise-grade MCP server within the Cardanoscan API, enabling AI agents to query Cardano data seamlessly through structured, AI-ready tools.
Please provide your proposal title
[Strica] Cardanoscan for AI Agents: onchain data integration
Enter the amount of funding you are requesting in ADA
145000
Please specify how many months you expect your project to last
4
Please indicate if your proposal has been auto-translated
No
Original Language
en
What is the problem you want to solve?
AI agents lack structured access to Cardano blockchain data. No infrastructure currently exists for them to query Cardano data reliably and safely.
Supporting links
Does your project have any dependencies on other organizations, technical or otherwise?
No
Describe any dependencies or write 'No dependencies'
No dependencies
Will your project's outputs be fully open source?
No
Please provide details on the intellectual property (IP) status of your project outputs, including whether they will be released as open source or retained under another licence.
not open source
Please choose the most relevant theme and tag related to the outcomes of your proposal
AI
Describe what makes your idea innovative compared to what has been previously launched in the market (whether by you or others).
First Fully Managed MCP Service Purpose-Built for the Cardano Ecosystem
While the Cardano ecosystem has many explorers, APIs, and analytics tools, none currently offer a professionally operated, fully managed MCP server integrated into their core services. This project brings AI-native access to Cardano data as a first-class, reliable, and officially supported feature under the Cardanoscan API platform. It fills a clear gap in Cardano’s developer and tooling landscape.
Deep Integration With Cardanoscan’s High-Quality Indexing and Analytics
Unlike standalone prototypes or manually hosted tools, this MCP server is built directly on: Cardanoscan’s deeply indexed blockchain data, enriched analytics, validated metadata, staking and reward datasets, asset metadata, governance information. This gives AI agents access to the most structured, accurate, and reliable dataset available in the Cardano ecosystem, not just raw transactions. This level of data richness for AI is new to Cardano.
Zero Hosting or Operational Burden for Cardano Developers
Cardano builders often face high overhead when integrating blockchain data: running nodes, managing indexers, building data pipelines, securing backend servers, scaling infrastructure. Cardanoscan MCP removes all these burdens. Developers simply use their Cardanoscan API key and immediately gain fully managed AI access to Cardano data without: hosting servers, writing backend code, maintaining infrastructure, handling rate limits or caching, dealing with uptime monitoring.
This is an innovation in accessibility and developer experience within the Cardano ecosystem.
A New Interaction Layer for Cardano Users
Today’s Cardano apps mostly present static data or charts. With MCP integration, new classes of experiences become possible: conversational wallets (“explain my last transactions”), governance assistants (“summarize this proposal in plain English”), stake advisors (“why did my rewards change?”), educational tools (“teach me UTxO using my real transactions”)
This is an entirely new way for users to understand, navigate, and engage with Cardano, not by reading dashboards, but by talking to their data.
Strengthens Cardano’s Tooling Stack for the AI Era
As AI assistants become common interfaces for work and applications, Cardano needs infrastructure that: supports AI agent workflows, provides reliable access to chain data, enables reasoning and explanation, can be used by non-technical users.
This MCP server becomes a foundational layer for the next decade of Cardano tooling, making the chain more accessible, intelligent, and user-friendly.
An Infrastructure-Grade, Long-Term Supported Offering
Unlike community-run integrations or experimental agent tools, this is: a maintained product part of the Cardanoscan API, backed by a reliable operational team, secured, monitored.
Describe what your prototype or MVP will demonstrate, and where it can be accessed.
What the MVP Includes
What the MVP Demonstrates
Where It Will Be Accessible
As part of Cardanoscan API Service : https://cardanoscan.io/api
Documentation: https://docs.cardanoscan.io/
The MVP will be available in free API plan, easy to test, and ready for ecosystem developers.
Describe realistic measures of success, ideally with on-chain metrics.
Adoption Metrics (Off-Chain but Measurable)
User Impact Metrics (AI-Driven Behavior)
On-Chain Indicators of Success
Although MCP operates off-chain, improved accessibility and clarity will likely correlate with:
Increase in active addresses
As users understand on-chain actions better, they transact more confidently.
Increase in delegation and staking participation
Clear, AI-generated explanations of rewards, epochs, and pool choices reduce confusion.
Growth in governance participation
Proposal summaries and natural-language interpretations help more users engage.
Increase in multi-asset use
AI-driven explanations of tokens, NFTs, and metadata improve asset literacy.
More dApp interactions
Users guided by AI are more likely to try and understand new Cardano applications.
Please describe your proposed solution and how it addresses the problem
AI agents are increasingly capable of performing context-aware, data-rich tasks. However, access to blockchain data; especially from ecosystems like Cardano is fragmented, technical, and often lacks the tooling needed for modern AI agents. Existing interfaces like GraphQL and REST APIs are designed for developer consumption and not optimized for natural language agents that operate via tool abstraction layers.
To address this, we propose to build an MCP (Model Context Protocol) Server specifically designed to expose structured Cardano blockchain data to AI systems. The MCP framework, developed by Anthropic, provides a standardized protocol through which AI agents can invoke tools securely and meaningfully. This allows agents to access only the data they need, with well-defined permissions and formats.
Architecture and Design Document - https://docs.google.com/document/d/1GuhlOIfLCB44GsmKmDI9ivq6DkBaAEXT_klhD4O50VE/edit?usp=sharing
What We’re Building
Cardano MCP Server: A complete MCP server implementation that acts as a proxy and tool provider over the Cardanoscan API. The server will expose high-level tools that are registered with agent systems like VS Code Copilot or Claude Code, allowing agents to query balances, fetch transaction history, lookup wallet metadata, track addresses, and more.
Extensible Tool Layer: Tools exposed via MCP will include structured queries like
Integration Examples: Examples to connect the MCP server with: VS Code CoPilot
Please define the positive impact your project will have on the wider Cardano community
This project directly supports the broader Cardano mission of openness, accessibility, and tooling for the future of finance.
AI-Enabled Cardano Accessibility: With the rapid rise of AI assistants, users increasingly rely on agents like Claude, and VS Code Copilot to answer questions, generate insights, or automate tasks. By building an MCP server that integrates with these agents, we open up Cardano’s public data to a completely new interaction paradigm. Users can ask, “What’s the latest status of my wallet?” or “What’s the stake pool yield history?” and get structured, real-time answers directly through an agent.
Ecosystem Boost for Developers: Developers building wallets, analytics tools, or education platforms can embed our MCP server to provide AI integration to their users. This reduces the need for building APIs from scratch or parsing blockchain data independently. It also strengthens Cardano’s standing as one of the best-supported chains for intelligent tooling.
Onboarding & Education: New users often find blockchain explorers difficult to understand. By leveraging AI with natural language capabilities and structured data tools, we make onboarding much easier. Users can simply ask:
This lowers the barrier to understanding and interacting with the Cardano ecosystem.
What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?
Strica has a long-standing track record of delivering mission-critical tools and infrastructure for the Cardano ecosystem, consistently with transparency, accountability, and technical excellence. Over the past five years, we have shipped and maintained projects that serve both everyday users and the developer community at scale.
We are the creators and maintainers of:
Our work consistently adheres to open standards, best practices, and thorough testing. These efforts have earned us the trust of the community, demonstrated by years of successful product delivery, continuous feature development, and widespread adoption. This proven track record of execution, combined with our public code repositories and transparent development process, demonstrates our ability to deliver meaningful, lasting results for the Cardano ecosystem.
Milestone Title
Cardano Address & Transaction Data Integration
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
2
Cost
43500
Progress
30 %
Milestone Title
Staking Address & Stake Pool Data Integration into MCP Server
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
1
Cost
43500
Progress
60 %
Milestone Title
Cardano Governance Data Integration
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
1
Cost
36250
Progress
90 %
Milestone Title
Mainnet deployment & Project Close Out
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
1
Cost
21750
Progress
100 %
Please provide a cost breakdown of the proposed work and resources
How does the cost of the project represent value for the Cardano ecosystem?
The total funding requested reflects the high-leverage impact of building a general-purpose, AI-accessible data service for Cardano. The costs primarily cover:
For the community, this delivers:
I confirm that evidence of prior research, whitepaper, design, or proof-of-concept is provided.
Yes
I confirm that the proposal includes ecosystem research and uses the findings to either (a) justify its uniqueness over existing solutions or (b) demonstrate the value of its novel approach.
Yes
I confirm that the proposal demonstrates technical capability via verifiable in-house talent or a confirmed development partner (GitHub, LinkedIn, portfolio, etc.)
Yes
I confirm that the proposer and all team members are in good standing with prior Catalyst projects.
Yes
I confirm that the proposal clearly defines the problem and the value of the on-chain utility.
Yes
I confirm that the primary goal of the proposal is a working prototype deployed on at least a Cardano testnet.
Yes
I confirm that the proposal outlines a credible and clear technical plan and architecture.
Yes
I confirm that the budget and timeline (≤ 12 months) are realistic for the proposed work.
Yes
I confirm that the proposal includes a community engagement and feedback plan to amplify prototype adoption with the Cardano ecosystem.
Yes
I confirm that the budget is for future development only; excludes retroactive funding, incentives, giveaways, re-granting, or sub-treasuries.
Yes
I Agree
Yes
Ashish Prajapati - Team Lead
LinkeIn - https://www.linkedin.com/in/ashisherc/
Pavan Vora - Backend Cardano Engineer
https://www.linkedin.com/in/pavanvora/
Prashanth Soordelu - Backend Engineer - AI Integration