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MCP

Data query assistant over SQL and NoSQL databases

An MCP-powered natural language data assistant that connects to MySQL, PostgreSQL, MongoDB, and other databases via secure MCP servers. It dynamically fetches schema and sample data, translates user queries into sanitized SQL/NoSQL operations, formats results cleanly, and prevents injection or unauthorized access—enabling safe and intuitive data exploration for both technical and non-technical

MCP
Location

USA

Industry

TECHNOLOGY

Team Size

5 people

Duration

1.5 years

Challenges

01.

Challenges
  • Translating ambiguous natural-language queries into accurate, secure SQL/NoSQL statements across heterogeneous schemas.

  • Protecting against injection attacks and enforcing read-only execution in production databases.

  • Access control complexity: managing different database credentials, permissions, and schema visibility.

  • Minimizing latency and response variability for interactive querying sessions.

02.

Solution
  • Deployed MCP servers wrapping MySQL, PostgreSQL, and MongoDB with schema introspection APIs over JSON-RPC.

  • Implemented a secure query translator layer that converts natural language into parameterized SQL/NoSQL, rejecting unsafe or injected content.

  • Enforced database credentials and access scopes within each MCP server, aligning with enterprise permission models.

  • Added in-memory caching and query planning at MCP layer to optimize performance and reduce execution latency.

Solution

our input

Client Development

Client Development

UI/UX Design

UI/UX Design

Project management

Project management

Quality Assurance

Quality Assurance

MCP Server Development

MCP Server Development

Database solution architecture

Database solution architecture

Business analysis

Business analysis

Security & Compliance

Security & Compliance

Cloud & Devops

Cloud & Devops

Lasya AI TechOur Features
App Functionality
Assembly Instructions
Assembly Instructions
Interactive Learning
Interactive Learning
Multiple Control Modes
Multiple Control Modes
Ble Connectivity
Ble Connectivity
DUal Controller Support
DUal Controller Support
In-App Programming
In-App Programming
Customizable User Interface
Customizable User Interface
Lasya AI Tech
Lasya AI TechWhat we offers

HOW WE DID IT

MCP Server Wrappers
MCP Server Wrappers

Deployed MCP servers for MySQL, PostgreSQL, and MongoDB, exposing standardized schema-inspection and parameterized query tools via JSON-RPC.

Secure Query Translator
Secure Query Translator

Built a translator module that converts natural-language requests into sanitized, parameterized SQL/NoSQL commands, invalidating unsafe queries.

Credential & Scope Enforcement
Credential & Scope Enforcement

Integrated database permission models directly into MCP servers, ensuring all queries honor enterprise-level access control.

Context-Aware Query Routing
Context-Aware Query Routing

Designed routing logic that detects intent (aggregate, join, filter) and directs queries to the right database or collection via MCP.

Caching & Performance Layer
Caching & Performance Layer

Added in-memory caching and prefetch strategies for frequent queries to reduce latency and save query execution cost.

Telemetry & Usage Analytics
Telemetry & Usage Analytics

Instrumented MCP servers to log query patterns, error rates, and response times, enabling ongoing optimization and model tuning.

Lasya AI Tech

Technologies We Used

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MCP
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Python
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PostgreSQL
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MySQL
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OAuth & Security Protocols
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MVVM
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GitHub

Circuitcubes Development Process

  • Market Research & Product Vision Shaping

    • Conducted user interviews with analysts and data engineers to understand query pain points across SQL and NoSQL systems.
    • Defined vision for a unified natural-language interface to enable safe, real-time database exploration without manual SQL.
    • Mapped target workflows—schema discovery, aggregate reporting, and sample previews—to inform MVP scope.
    Market Research & Product Vision Shaping
  • Strategic Consultation & Vendor Partnerships

    • Evaluated JSON-RPC tools and MCP SDKs for database connectivity and security support.
    • Engaged with database providers (MySQL, Postgres, MongoDB) to align on read-only access protocols.
    • Selected MCP JSON-RPC transports supporting both HTTP and stdio for flexible deployment.
    Strategic Consultation & Vendor Partnerships
  • System Architecture Design & Technical Compliance

    • Designed MCP server wrappers for schema introspection, safe query execution, and metadata access.
    • Defined secure OAuth-based credential flow with scoped permissions per database.
    • Architecture planning included in-memory caching and query throttling for performance and cost control.
    System Architecture Design & Technical Compliance
  • Application Development & Integration

    • Implemented MCP servers in Python/TypeScript exposing JSON-RPC methods for introspection and queries.
    • Built front-end UI for natural-language input, previewed results, and formatted table displays.
    • Pilot-tested with sample datasets, iterated on translation logic, then deployed to full environments.
    Application Development & Integration
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Lasya AI Tech
Lasya AI TechLasya AI Tech

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