FOR AI CLIENTS

DevExcel MCP Server

The DevExcel MCP server exposes our services, industries, case studies, blog, and engagement models as structured data that any MCP-compatible AI client can query directly — Claude, ChatGPT, or any other client that speaks the Model Context Protocol. The server only returns DevExcel's own real content — it does not reason, chat, or generate answers itself. Your AI client does the reasoning; the MCP just supplies the facts.

Connect

Endpoint

https://devexcel-it-solutions-website.vercel.app/api/mcp

Transport

Streamable HTTP (stateless) — no API key required.

Every AI client sets up a remote MCP server a little differently, and those flows change independently of this page — check modelcontextprotocol.io or your client's own documentation for the current "add an MCP server" steps, and paste in the endpoint above.

Example configuration

{
  "mcpServers": {
    "devexcel": {
      "url": "https://devexcel-it-solutions-website.vercel.app/api/mcp"
    }
  }
}

This is the general shape used by several MCP-compatible clients for a remote, unauthenticated HTTP server. We haven't verified compatibility with every specific client — confirm the exact config format in your client's own docs.

What's exposed

Read-only. No lead-submission tool, no account access, no ability to modify anything — see the contact form or engagement models page for that.

Resources

devexcel://company
Company overview & delivery process
devexcel://services
Services (list + per-service detail)
devexcel://industries
Industries (list + per-industry detail)
devexcel://case-studies
Case studies (list + per-project detail)
devexcel://blog
Blog (list + full article body)
devexcel://engagement-models
Engagement models & specialist roles

Tools

search_services
Keyword search across the service catalog
search_industries
Keyword search across industry pages
search_case_studies
Filter case studies by keyword, industry, or technology
search_blog
Filter blog posts by keyword or category
recommend_services
Ranked, explainable service matches for a project description
recommend_engagement_model
Maps roles/team shape to an engagement tier

Prompts

project_discovery
Full discovery flow: industry → services → case studies → engagement model
service_recommendation
Which specific service fits a described need
team_recommendation
Which engagement tier fits the roles you need

Try asking

“I need an AI-powered healthcare SaaS MVP — what can DevExcel offer, and have they built anything like it before?”
“I need two full-stack developers, one QA engineer, and one DevOps engineer for an AI SaaS product.”
“Show me DevExcel's content about production LLM applications.”
“What's DevExcel's actual delivery process, and how do they structure engagements?”

Security & privacy

The server is public and unauthenticated by design — everything it returns is already public on this website. It's rate-limited, every input is validated, and nothing you type into a tool call is stored, emailed, or logged verbatim.

The MCP can help you research DevExcel. When you're ready to talk to a person: