How to Set Up Caelian's MCP Server:
Live Competitive Intelligence Inside Every AI You Use

What Is Caelian — and Why Does It Matter?

Most competitive intelligence tools give you a dashboard to check. Caelian gives you a signal layer that thinks with you.

Caelian is a competitive intelligence platform built for go-to-market teams. It continuously ingests competitor signals — product launches, hiring shifts, regulatory filings, market expansion moves, sentiment changes — and translates them into concrete revenue actions. Not summaries. Not reports. Prioritized actions your BD, marketing, and product teams can execute this week.

What makes Caelian especially powerful in 2026 is its Model Context Protocol (MCP) server — a one-time installation that pipes live competitive intelligence directly into the AI tools your team already uses: Claude, Cursor, Windsurf, Perplexity, and more.

What Is an MCP Server? (Quick Explainer)

MCP (Model Context Protocol) is an open standard — developed by Anthropic — that lets AI assistants connect to external data sources through a standardized interface. Think of it as a universal plug for AI. Once an MCP server is connected, your AI can call its tools mid-conversation, pulling in real, live data rather than relying on training cutoffs.

For competitive intelligence, this is transformative. Instead of asking Claude "what should my BD team focus on?" and getting a generic answer, you ask the same question and get a response grounded in actual, current competitor moves from Caelian's live data layer.

The gap between a generic AI answer and an intelligence-grounded AI answer is the gap between guessing and knowing.

How to Install Caelian's MCP Server

The install takes under 60 seconds and requires no code — just a JSON config snippet.

{
  "mcpServers": {
    "caelian": {
      "command": "npx",
      "args": ["-y", "caelian-mcp"]
    }
  }
}

That's the entire install. Caelian uses npx to pull the latest version of the server package automatically — no manual updates, no dependency management.

What Can You Ask Once It's Installed?

This is where Caelian separates itself from static competitive intelligence tools. Once connected, your AI becomes a live competitive analyst. Here are prompts that actually work:

Sample Output: What Caelian Actually Returns

Here's what a get_competitive_summary response looks like in practice:

# B2B Fintech Payments — Competitive Summary
Updated: Apr 2 2026 · via Caelian (caelian.ai)

## Overview
- 5 companies tracked
- 13 signals · 8 high urgency
- 3 high-threat competitors · 3 P1 actions this week

## Top Threats
- Alpha Payments (HIGH THREAT) · Score: 81/100 · Global
- Beta Capital (HIGH THREAT · APAC) · Score: 78/100 · SEA
- Gamma Finance (HIGH THREAT · LATAM) · Score: 76/100

## This Week's P1 Actions
- [BD] Build LatAm pipeline before Gamma's stablecoin card ships
- [BD] Build APAC account list before Beta Capital's Q2 Korea launch
- [BD, MARKETING] Update all enterprise decks — compliance story must lead

Notice what this is not: a vague summary or a generic SWOT. It's a timestamped, scored, action-mapped brief. That's Caelian's core thesis — competitive intelligence should output decisions, not just data.

What Caelian Tracks

Caelian's signal layer covers five categories of competitive intelligence — the same categories that matter most when a deal is in motion:

All of it is surfaced before it becomes widely covered. The intelligence value window is the gap between when a signal appears and when it becomes obvious — that's the window Caelian is built to operate in.

Why the MCP Architecture Matters

Previous competitive intelligence workflows required someone to check a portal, pull a report, paste it into a doc, then get it in front of the right person. Each step introduced latency and information loss.

The MCP model collapses that entire chain. Caelian's intelligence lives inside your AI, accessible mid-workflow, mid-conversation, mid-deal. A sales rep in Cursor can ask "what's the latest on Competitor X before I send this proposal?" without ever leaving their environment.

This is the trajectory of how competitive intelligence gets consumed: not as periodic reports, but as a real-time context layer baked into every AI-powered workflow.

Frequently Asked Questions