Last updated 3 months ago
Oracle queries typically require well-structured arguements, but overly-parameterized requirements cause complexity and friction for developers and inefficiency for providers.
The solution is an MCP architecture that routes queries to our Wolfram data sources (Wolfram Alpha, EchoPriceFeeds, blockchain nodes, etc.) which provide developers a smooth and structured output.
Please provide your proposal title
Wolfram MCP Oracle Infrastructure
Enter the amount of funding you are requesting in ADA
165000
Please specify how many months you expect your project to last
6
Please indicate if your proposal has been auto-translated
No
Original Language
en
What is the problem you want to solve?
Oracle queries typically require well-structured arguements, but overly-parameterized requirements cause complexity and friction for developers and inefficiency for providers.
Supporting links
Does your project have any dependencies on other organizations, technical or otherwise?
Yes
Describe any dependencies or write 'No dependencies'
Potentially dependent upon smart contract developer and auditor.
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.
The MCP server implementations and smart contract code will be open-sourced under MIT license. The LLM parsing layer and integration framework will remain proprietary to ensure service quality and prevent misuse.
Please choose the most relevant theme and tag related to the outcomes of your proposal
Oracles
Describe what makes your idea innovative compared to what has been previously launched in the market (whether by you or others).
Our approach is innovative because it combines natural-language querying with deterministic oracle execution. Current oracles require highly technical, parameterized inputs, which limits accessibility and slows development. Our system uses Large Language Models to interpret user intent, but grounds all LLM output through Model Context Protocol (MCP) servers that supply verified tools and data schemas. This prevents hallucinations, ensures consistent and structured data calls, and creates a layered interface between the user and the oracle. This architecture preserves the flexibility of AI while maintaining reliability and determinism in on-chain data delivery.
Describe what your prototype or MVP will demonstrate, and where it can be accessed.
We already have a functioning prototype that demonstrates the end-to-end flow of natural-language oracle queries into deterministic, structured data calls. With it, a developer can ask a question such as “What is the current price of ADA in USD?” and the system reliably translates that intent into a verified, schema-constrained MCP request that returns accurate market data.
This proof-of-concept includes operational MCP servers for financial data, verifiable randomness, and blockchain state operations, each tested against real infrastructure. LLM interpretation is fully integrated into the workflow, grounded by tools and data sources that prevent hallucination and ensure deterministic execution.
This project will expand those capabilities, harden performance, and deploy the complete system to Cardano PreProd Testnet — providing ready-to-use smart-contract interfaces and full developer documentation.
Describe realistic measures of success, ideally with on-chain metrics.
Our meassures of success depend mostly on our MCP server's ability to appropriately reformulate the user's query into a well-structured format with relevant parameters for the data source to return accurate data and in the smart contract format. Therefore, we focus on number off queries processed and the accuracy of those processed queries.
Please describe your proposed solution and how it addresses the problem
The solution is an oracle architecture built around MCP servers that translate natural-language queries into validated and deterministic data calls. Users interact with the system by asking questions in plain language, and the LLM interprets the request. MCP servers then constrain the interpretation to verified tools and schemas, producing a structured query that can be executed deterministically by the oracle network. This addresses the complexity of existing oracles by reducing the technical burden on users, while ensuring that final on-chain data is accurate and tamper-resistant. The system is designed specifically for Cardano and supports Plutus smart contracts with reliable data feeds.
Please define the positive impact your project will have on the wider Cardano community
This project improves the Cardano ecosystem by making oracle access more intuitive and more reliable at the same time. Developers no longer need to understand proprietary query formats or complex API structures, lowering the barrier to entry and enabling faster application development. At the same time, the use of MCP servers ensures that LLM-interpreted queries remain grounded in deterministic, verifiable data sources, avoiding hallucinations and preserving the correctness of on-chain information. Together, this increases developer productivity, broadens ecosystem participation, and supports more advanced use cases such as DeFi, prediction markets, and data-driven smart contracts.
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?
Wolfram Blockchain Labs has extensive experience in both AI/ML technologies and blockchain integrations. Our team has successfully deployed multiple Cardano-focused projects and maintains deep expertise in oracle systems and smart contract development. We have already developed a working prototype of the natural language parsing layer and MCP server architecture. The project builds incrementally on proven components: MCP protocol implementation, LLM integration, and Cardano smart contract deployment. Each milestone represents a discrete, achievable component that builds toward the complete system. Our existing infrastructure and partnerships with data providers like Wolfram|Alpha ensure we have access to reliable data feeds. The technical risk is mitigated by our phased approach and the team's proven track record in delivering complex blockchain solutions.
Milestone Title
MCP Server Infrastructure Development
Milestone Outputs
Complete MCP infrastructure with specialized servers for price feed data, Wolfram|Alpha data (i.e. financial, weather, and random number data), and blockchain operations. Includes API integrations and server deployment infrastructure.
Acceptance Criteria
MCP infrastructure must respond correctly to standardized queries with verified data. Financial data server must provide accurate price feeds, random number server must generate verifiably random values, and blockchain operations server must interface with Cardano node.
Evidence of Completion
Documented MCP server APIs, demonstration video showing servers processing requests, and test results showing data accuracy.
Delivery Month
3
Cost
70000
Progress
40 %
Milestone Title
Cardano Smart Contract & Oracle Infrastructure
Milestone Outputs
The most important output from this milestone is the Plutus smart contracts template for oracle data settlement. This means that the template for converting the data source response into the relevant smart contract type is completed. This may include an on-chain verification system, and will include an integration layer between MCP servers and Cardano blockchain.
Acceptance Criteria
Smart contracts must correctly settle oracle data on-chain with proper verification. Integration layer must reliably pass data from MCP servers to blockchain. System must pass security review with no critical vulnerabilities.
Evidence of Completion
Deployed contracts in PreProd testnet and demonstration showing end-to-end data flow from natural language query to on-chain settlement.
Delivery Month
5
Cost
75000
Progress
80 %
Milestone Title
Integration & Testing
Milestone Outputs
The main output for this milestone is to complete the MCP server architecture that is both deployed and integrated with the blockchain layer. The first milestone must connect with the second milestone. This third milestone is about testing of the integrated workflow between the deployed archictecture and blockchain layer. This may include a security audit if we can fit it in the budget.
Acceptance Criteria
Our most relevant criteria for acceptance is that we can prove the information requested from the oracle query comes from the correct server. The system must correctly parse (to 80% threshold) common natural language queries.
Evidence of Completion
The way we'll demonstrate completion of testing and integration is to have testing results showing our oracle query success rates (accuracy/total queries) and a video recording demonstration of the complete end to end workflow.
Delivery Month
6
Cost
20000
Progress
100 %
Please provide a cost breakdown of the proposed work and resources
Milestone 1 (MCP Infrastructure): 45,000 ADA - Covers development of multiple MCP servers, data API integrations, verification systems, and deployment infrastructure. Includes specialized servers for financial data, random numbers, and blockchain operations.
Milestone 2 (Smart Contracts): 55,000 ADA - Includes Plutus smart contract development, auditing, testnet deployment, and integration layer between MCP servers and Cardano blockchain. This represents the core blockchain engineering work.
Milestone 3 (Interface & Deployment): 20,000 ADA - Covers natural language processing integration, user API development, documentation.
Total development is budgeted at competitive rates of $65-75 per hour for specialized blockchain and AI engineering talent.
How does the cost of the project represent value for the Cardano ecosystem?
This project delivers exceptional value for money by combining a highly efficient development model with over a decade of pre-existing Wolfram infrastructure. Our team operates at a competitive developer rate of $65/hour, far below typical rates for advanced AI/ML, oracle engineering, or blockchain integration work. Because Wolfram Blockchain Labs has already built and production-tested core components—such as Wolfram|Alpha (developed over 15 years), established data ingestion pipelines, and existing MCP tools integrated with multiple LLMs—the project avoids large research costs and focuses instead on targeted engineering needed to bring this capability to Cardano. This reuse of mature, enterprise-grade technology significantly reduces both time and budget requirements.
The project leverages an existing, well-tested codebase rather than building an oracle stack from scratch, ensuring that each hour of development translates directly into functional improvements rather than foundational reinvention. The phased architecture—MCP servers, LLM interfaces, deterministic data settlement, and Plutus-ready outputs—optimizes development efficiency and de-risks delivery. Furthermore, the system provides ongoing ecosystem-wide benefits: lowering development costs for DApp teams, expanding the range of contracts that Cardano can support, and establishing a reusable data interface that future projects can adopt without additional cost.
By combining low-cost engineering with decades of Wolfram’s computational assets, this proposal produces a high-impact, scalable oracle infrastructure at a fraction of what comparable systems would require. The result is a cost-effective investment that strengthens Cardano’s technical foundation while offering long-term value that compounds across DeFi, governance, enterprise integrations, and AI-driven development.
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
Jon Woodard, CEO
Jon Woodard is the CEO at Wolfram Blockchain Labs, where Jon coordinates the decentralized projects that connect the Wolfram Technology ecosystem to different DLT ecosystems. Previously at Wolfram Research Jon worked on projects at the direction of Wolfram Research CEO Stephen Wolfram and prior to that was a member of the team who worked on the monetization strategies and execution for Wolfram|Alpha. Jon has a background in economics and computational neuroscience. He enjoys cycling in his spare time.
Steph Macurdy, Head of Research and Education
Steph Macurdy has a background in economics, with a focus on complex systems. He attended the Real World Risk Institute in 2019, lead by Nassim Taleb, and has been investing in the crypto asset space since 2015. He previously worked for Tesla as an energy advisor and Cambridge Associates as an investment analyst.
Gabriela Guerra Galan, Project Manager
Gabriela Guerra Galan: Gabriela has 15+ years of experience leading projects. She is a certified PMP and Product Owner with bachelor's degree in Mechatronical Engineering, complemented by a master's degree in Automotive Engineering. As the co-founder of Bloinx, a startup that secured funding from the UNICEF Innovation Fund, she has demonstrated a passion for driving innovation and social impact.
Daniel Suarez, Manager Blockchain Integrations
Daniel Suarez: Daniel is a Manager at Wolfram Research. He is in charge of the software architecture as manager of the blockchain project, and has been with the company for seven years. Daniel has a background in electronic engineering, focusing on Digital Signal Processing and Parallel Computing. Previously, he has experience as a radar software engineer at Jicamarca Radio Observatory. He enjoys playing drums.
Piero Sanchez, Lead Developer
Piero Sanchez: Piero is Lead Developer of Blockchain Integrations at Wolfram Blockchain Labs/Wolfram Research South America. Piero has been with the company for five years, and he is in charge of integrating and maintaining new blockchain technologies with the Wolfram Language, as well as helping other team members with technical tasks. He has a background in experimental physics and quantum optics and has worked in the blockchain group since it started. In his free time, he likes to play video games and board games