Aries is queryable by your AI agent.
A public MCP endpoint that lets Claude, ChatGPT, Cursor, and any MCP-compatible agent pull Aries services, case studies, pricing, and the full AI Readiness Assessment directly into the conversation.
What an AI agent can ask
Real prompts a connected agent can resolve against the Aries MCP server — no human in the loop required.
Quantify SaaS sprawl
"My company spends about $4,500/month on CRM, project management, and BI tools. How would AriesOS compare?"
Resolved via compare_saas_to_ariesos
Run the AI Readiness Assessment
"Walk me through the Aries AI Readiness Assessment — I run a $7M services business with 35 employees."
Resolved via start_assessment → complete_assessment
Find relevant case studies
"Show me how Aries has helped recruiting firms or other services businesses consolidate their tools."
Resolved via get_case_studies, search_blog_posts
Add Aries to your agent
Public endpoint, no auth required. Follow the Claude walkthrough below, or pick another client and paste its snippet.
Connect with Claude
BetaCustom connector walkthroughOpen the custom connector dialog
In Claude, go to Settings → Connectors and click "Add custom connector".
Fill in the fields exactly
Copy each value into the matching field in Claude's dialog.
Click "Add"
Claude will connect to the server and load its tools. Aries services, case studies, pricing, and the AI Readiness Assessment are then available in your next conversation.
Manual setup is expected. AI clients like Claude and ChatGPT don't auto-discover custom MCP servers — you register this connector once (see the Claude walkthrough above for the field-by-field custom-connector flow), then its tools are available in every conversation.
// Add to your Claude Desktop config:
// ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
// %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"aries-consulting-group": {
"transport": {
"type": "http",
"url": "https://ariesconsultinggroup.com/api/mcp"
}
}
}
}14 tools across discovery, assessment, and lead intake
Every tool exposed by the Aries MCP server, what it accepts, and what it returns.
Why This Exists
The agentic era runs on MCP.
Model Context Protocol is the open standard for connecting AI agents to external tools and data. It is rapidly becoming the way frontier agents — Claude, ChatGPT, Cursor, internal copilots — discover and act on real-world systems.
AriesOS is built MCP-ready from day one. Shipping a public MCP server for the consulting practice itself is the most direct possible demonstration of that thesis: any agent on the planet can query Aries services, run the readiness assessment, and request an intro call without a human in the middle.
When your AI agent can talk to a vendor directly, the vendor that built for that future wins the conversation.
Prefer to talk to a human?
The MCP server is a tool, not a replacement. The fastest path to a custom platform still starts with a conversation.
Book a strategy call