DiscoverFire.ai

DiscoverFire.ai

DiscoverFire.ai is a US-based AI development studio that builds custom AI agents, MCP servers, and full-stack web applications for businesses. The team designs autonomous agents that complete multi-step workflows, connect to your systems through Model Context Protocol servers, and embed models like ChatGPT, Claude, and Gemini into production apps.

Offerings span starter business websites, internal team tools with authentication and APIs, and revenue-ready SaaS products with billing and subscriptions. DiscoverFire also publishes tiered monthly support packages and showcases client projects including AgentFuel.bot and IntelliQuery.

The company positions itself against generic automation by emphasizing true agent reasoning, multi-agent swarms, audited MCP access, and transparent published pricing for development and support.

Top Features:
  1. Custom AI agent development for autonomous multi-step business workflows

  2. MCP server development with authentication, authorization, and audit logging

  3. Full-stack AI web apps using FastAPI or Flask, Next.js, and PostgreSQL

  4. Multi-agent swarms that collaborate across specialized tasks

  5. Published project tiers from starter websites to revenue-ready SaaS builds

  6. US-based support packages from email maintenance to dedicated dev teams

  7. Case studies with measurable outcomes for marketing, reception, and real estate clients

Pros:
  1. Transparent published pricing for development and support tiers

  2. Full-stack capability from AI agents and MCP servers to SaaS products

  3. US-based development and support team

  4. Public case studies with live demo project links

  5. Multi-model approach using ChatGPT, Claude, and Gemini where appropriate

Cons:
  1. Project-based pricing starts at thousands of dollars, not self-serve SaaS

  2. New feature work on support tiers below Dedicated Team requires separate scope

  3. Low domain authority suggests a newer or niche brand presence

  4. Blog and some company pages appear placeholder-linked on the site

FAQs:

What does DiscoverFire.ai build?

DiscoverFire builds custom AI agents, Model Context Protocol servers, and AI-powered web applications. Projects range from business websites and internal team tools to subscription-ready SaaS products with embedded generative AI features.

How much do DiscoverFire projects cost?

Published pricing starts at $2,500 for a Starter Web Solution, $7,500 for a Team Web Solution, and $15,000 for a Revenue-Ready SaaS build. Monthly support packages run from $200 to $20,000 depending on tier.

What is an MCP server in DiscoverFire's offering?

An MCP server is a standardized bridge that gives AI models controlled access to your databases, APIs, and internal tools. DiscoverFire builds custom MCP servers with permission checks and audit logging so agents can query data and take actions securely.

Which AI models does DiscoverFire use?

DiscoverFire develops with advanced large language models including ChatGPT, Claude, and Gemini. The site emphasizes selecting the best model per task rather than locking everything into a single provider.

How do I get started with DiscoverFire?

You can book a demo or discovery call through the zcal scheduling link on the DiscoverFire website. The team offers personalized demonstrations and project scoping for agent, MCP, and web application work.

Category:

Pricing:

Paid

Tags:

AI Agents
MCP Servers
Custom Development
Web Applications
Automation
LLM Integration
US-Based Development

Tech used:

React
Next.js
Tailwind CSS
Python
Google Cloud
Google Fonts
Font Awesome
Replit

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