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MCP

Windows file-system AI explorer in desktop apps

A desktop AI assistant powered by the Model Context Protocol that provides a conversational interface to local and cloud files. Integrated within Windows AI Foundry, it can search, summarize, and open user‑approved documents directly from File Explorer. Utilizing MCP servers, it respects folder access permissions, enables natural-language file queries

MCP
Location

US

Industry

HEALTH & FITNESS

Team Size

4 people

Duration

1 month

Challenges

01.

Challenges
  • Securely exposing local files through MCP without exposing unrelated system data or sensitive directories.

  • Maintaining user consent and permissions for file access while supporting seamless query experience.

  • Handling diverse file formats (PDFs, Word, images) and location sources (local, cloud sync, network drives).

  • Preventing malicious file reads or unintended remote execution via MCP tool endpoints.

02.

Solution
  • Implemented an MCP server tagged to Windows File Explorer with scoped access, limited to user-approved folders.

  • Enforced per-session user consent dialogs and maintained a registry of allowed paths tracked via MCP metadata.

  • Added format parsers on MCP server (PDF, DOCX, images) using libraries like Apache Tika, ensuring sanitized and safe extraction.

  • Sandboxed MCP process with OS-level containment and strict JSON-RPC validation to block unauthorized operations.

Solution

OUR INPUT

UI/UX Design

UI/UX Design

MCP Server Development

MCP Server Development

Client Development

Client Development

Quality Assurance

Quality Assurance

Security & Compliance

Security & Compliance

Cloud & Devops

Cloud & Devops

Business Analysis

Business Analysis

Project Management

Project Management

RESULT

We're proud of being instrumental to our clients success and sure that stable and flexible solution will assure stable growth in the future.

Lasya AI TechOur Features
App Functionality
Video Streaming
Video Streaming
Messages
Messages
Calendar Management
Calendar Management
Community
Community
Search
Search
Notifications
Notifications
Training schedule
Training schedule
Track activity
Track activity
Set goals
Set goals
Lasya AI Tech
Lasya AI TechWhat we offers

HOW WE DID IT

Scoped MCP File Server
Scoped MCP File Server

Implemented a local MCP server that only binds to user-approved directories, exposing file search/open tools via JSON-RPC with scoped permissions.

User Consent Proxy
User Consent Proxy

All MCP communications flow through a Windows proxy layer enforcing per-session user consent and auditing actions.

Format-Aware Parsers
Format-Aware Parsers

Integrated file parsers (PDF, Word, images) using libraries (e.g., Apache Tika), sanitizing content before forwarding to LLMs.

Sandboxed Process Model
Sandboxed Process Model

Ran the MCP service in a restricted sandbox with least-privilege and OS-level containment to prevent unauthorized file access.

Path Whitelisting & Metadata Tracking
Path Whitelisting & Metadata Tracking

Implemented dynamic path whitelisting, recording user-approved folders via MCP metadata for transparent file access control.

Telemetry & Security Feedback
Telemetry & Security Feedback

Added telemetry logging for tool calls, permission dialogs, and usage patterns—feeding into iterative security improvements.

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

Creation Process

  • Market Research & Product Vision Shaping

    • Interviewed Windows users to understand file access pain points and demand for conversational file search.
    • Defined vision for a local MCP file explorer enabling natural‑language queries and contextual document retrieval.
    • Outlined user control and security needs, prioritizing explicit folder consent and sandboxed file reads.
    Market Research & Product Vision Shaping
  • Strategic Consultation & Vendor Partnerships

    • Evaluated MCP SDKs and filesystem tools (Node.js, Python local servers) for cross-platform compatibility.
    • Aligned with Microsoft Windows AI Foundry guidelines and registry requirements for MCP servers. :contentReference[oaicite:1]{index=1}
    • Paired with security vendors to define sandboxing, consent dialogs, and permission tracking architecture. :contentReference[oaicite:2]{index=2}
    Strategic Consultation & Vendor Partnerships
  • System Architecture Design & Technical Compliance:

    • Designed an MCP server process isolated from main OS, restricted by path whitelisting and JSON‑RPC schema enforcement.
    • Specified user‑approved directory registry, per-session consent model, and OS-level sandbox policies.
    • Defined parsers for diverse formats (PDF, DOCX, images) using sanitized extraction libraries like Apache Tika.
    System Architecture Design & Technical Compliance:
  • Application Development & Integration

    • Developed the MCP file‑server module in TypeScript for Windows, binding to File Explorer through CLI invocation.
    • Built the host-side Windows AI Foundry integration to query, summarize, and open files via MCP tools.
    • Launched initial pilot with internal users, monitored user actions and consent flows, then expanded deployment based on telemetry.
    Application Development & Integration
  • Development & Performance Scalability:

    • During the development phase, we ensured that the FitGrid application was accessible and inclusive for all users, overcoming challenges related to large customer bases.
    • Our team worked to create applications that could perform effectively regardless of customer size, focusing on scalability and inclusivity.
    • Development efforts were aimed at building a robust app that performs seamlessly, no matter the size of the customer base or the geographical location.
    Development & Performance Scalability:
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With a proven track record of delivering successful projects like MailBluster and ThemeWagon, we combine technical expertise with a client-first approach. Our agile methods and attention to detail ensure we exceed expectations and deliver measurable results.

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