MCP Apps Development
Building MCP-enabled workflows requires deep understanding of both tool capabilities and LLM behavior.
Tool Audit
Analyzing your existing APIs and data sources to define MCP capabilities.
Endpoint Inspection: Identifying critical data needed by the AI.
Capability Mapping: Defining which actions the AI should be allowed to take.
Auth Review: Ensuring secure access to all integrated tools.
Data Privacy: Gatekeeping sensitive information from model training.
Technology Stack
Helping you decide the right tech stack for your project
Technology We Use
Our agile strategies and analytical expertise empower partners to master complexities and achieve Transformative outcomes
MCP Standards
We develop custom MCP servers that establish secure, standardized bridges between AI models and your internal tools or data.
Tool & API Hub
Expanding the reach of AI agents by connecting them to databases, enterprise APIs, and local resources through unified protocols.
Agent Support
Enabling frontier models like Claude 3.5 to leverage your custom internal tools with high fidelity and strict security guardrails.
Next.js & React
React.JS
Building intuitive administrative dashboards to manage your MCP tools and servers.
Designed For: Creating dynamic UIs for monitoring AI tool interactions.
Next.js
Delivering high-performance interfaces for your AI-powered MCP applications.
Designed For: Scalable web experiences with optimized performance.
FastAPI & Python
Fast API
Creating high-speed MCP servers that handle real-time data requests from AI agents.
Designed For: Rapid development of low-latency protocol implementations.
Python
The core engine for data processing and tool integration in the MCP ecosystem.
Designed For: Complex data manipulation and AI-driven logic.
Large Language Model
GPT-4o
Deploying state-of-the-art OpenAI models that excel at following MCP tool definitions.
Designed For: Sophisticated reasoning and complex tool execution.
Claude 3.5
Harnessing Anthropic's superior tool-use capabilities for reliable MCP interactions.
Designed For: Precise, context-rich agentic workflows.
Model Context Protocol
MCP SDK
Expert implementation of the Model Context Protocol standard for interoperability.
Designed For: Establishing secure bridges between AI and data.
DevOps
AWS
Hosting distributed MCP servers with enterprise-grade availability and security.
Designed For: Reliable deployment of AI infrastructure.
Azure
Integrating MCP solutions with existing enterprise cloud ecosystems.
Designed For: Robust, compliance-ready deployment.
Case Studies
Mindei: EdTech
Nurturing Young Minds, Building Brighter Futures. We redefine mental health care young persons.
ElevenFlo: Legal Tech
ElevenFlo empowers companies and restructuring professionals with tools to navigate the Chapter 11 process.
Bandbooker: Marketplace
BandBooker offers a hassle-free solution for booking talented musicians for a variety of events.
LaySci: SaaS
LaySci searches PubMed for scientific articles and uses AI to simplify PubMed abstracts for non-scientists.
Userpeek: SaaS
UserPeek is a tool optimized for all departments that profit from qualitative user testing.
Dende: EdTech
Dende is an AI tool that converts study materials into personalized quizzes and flashcards with progress tracking
Cofetti: SaaS
Cofetti.ai lets users create AI-generated greeting cards and invitations, offering customization for various occasions