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Competitive intelligence MCP server — monitor competitors and track how AI ranks your brand
Competitive intelligence for AI agents — see how LLMs rank your brand.
More B2B buyers are asking AI before they Google. CompetLab monitors competitors across 5 dimensions — including AI Visibility, which tracks how ChatGPT, Claude, and Gemini mention and rank brands. This MCP server gives your AI agent access to all of it: dashboards, historical data, alerts, and action plans. No other CI platform does this.
Works with any MCP-compatible client:
Two ways to connect — pick the one that fits your setup:
| Remote Server | Local Server | |
|---|---|---|
| Transport | Streamable HTTP | stdio |
| Setup | Zero install — just add URL | npm install && npm run build |
| Best for | Most users — Claude Code, Cursor, VS Code, Windsurf, Cline | Claude Desktop, Glama, or offline use |
Get your API key: app.competlab.com > Organization Settings > API Keys
Server URL: https://mcp.competlab.com/mcp
Auth: API key via CL-API-Key header (or api_key query parameter)
claude mcp add --transport http \
--header "CL-API-Key: YOUR_COMPETLAB_API_KEY" \
competlab https://mcp.competlab.com/mcp
Add to .cursor/mcp.json:
{
"mcpServers": {
"competlab": {
"url": "https://mcp.competlab.com/mcp",
"headers": {
"CL-API-Key": "YOUR_COMPETLAB_API_KEY"
}
}
}
}
Add to .vscode/mcp.json:
{
"inputs": [
{
"type": "promptString",
"id": "competlab-api-key",
"description": "CompetLab API Key (starts with cl_live_)",
"password": true
}
],
"servers": {
"competlab": {
"type": "http",
"url": "https://mcp.competlab.com/mcp",
"headers": {
"CL-API-Key": "${input:competlab-api-key}"
}
}
}
}
Note: VS Code uses
"servers"(not"mcpServers") and supports secure input prompts via${input:id}.
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"competlab": {
"serverUrl": "https://mcp.competlab.com/mcp",
"headers": {
"CL-API-Key": "YOUR_COMPETLAB_API_KEY"
}
}
}
}
Note: Windsurf uses
"serverUrl"(not"url").
Add to cline_mcp_settings.json (or configure via Cline UI > Installed > Advanced MCP Settings):
{
"mcpServers": {
"competlab": {
"url": "https://mcp.competlab.com/mcp",
"headers": {
"CL-API-Key": "YOUR_COMPETLAB_API_KEY"
},
"disabled": false
}
}
}
Claude Desktop and Claude Web only support URL-based auth (no custom headers). Use the api_key query parameter:
Go to Settings > MCP and add the server with this URL:
https://mcp.competlab.com/mcp?api_key=YOUR_COMPETLAB_API_KEY
Run the server locally via stdin/stdout. Useful for Claude Desktop, Glama, or environments that prefer stdio transport.
git clone https://github.com/competlab/competlab-mcp-server.git
cd competlab-mcp-server
npm install
npm run build
claude mcp add --transport stdio \
--env COMPETLAB_API_KEY=YOUR_COMPETLAB_API_KEY \
competlab node dist/index.js
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"competlab": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/competlab-mcp-server",
"env": {
"COMPETLAB_API_KEY": "YOUR_COMPETLAB_API_KEY"
}
}
}
}
COMPETLAB_API_KEY=YOUR_COMPETLAB_API_KEY node dist/index.js
The server reads JSON-RPC from stdin and writes responses to stdout.
See examples/ for ready-to-paste config files for each client.
Competitive intelligence for the AI era. One platform, 5 dimensions, monitored automatically:
| Dimension | What It Tracks |
|---|---|
| Tech & Trust | Tech stacks, security headers (grade A-F), trust signals (24 signals in 4 categories), robots.txt AI bot blocking |
| Content | Sitemap analysis, content categorization (11 categories), URL changelog, content gaps |
| Positioning | Homepage messaging, value props, CTAs, target audience, differentiators |
| Pricing | Plans, billing models, free tiers, enterprise pricing, gap analysis |
| AI Visibility | How ChatGPT, Claude, and Gemini rank your brand vs competitors (AI Visibility Score 0-100) |
AI Visibility is what makes CompetLab unique — no other CI platform tracks how LLMs recommend brands in real time.
Start free trial (14 days, no credit card) | Learn more
11 groups. 33 tools. 30 are read-only; 3 are async-scan starters that create a scan record (start_tech_stack_scan, start_trust_signals_scan, start_agent_adoption_scan).
| Tool | Description |
|---|---|
list_projects | List all projects with status, competitor count, and last monitored timestamp |
get_project | Get project details with per-dimension monitoring freshness |
list_competitors | List all monitored competitors (includes your own domain for comparison) |
get_competitor | Get competitor details including monitored page URLs |
| Tool | Description |
|---|---|
get_tech_trust_dashboard | Latest security headers, trust signals, tech stacks, DNS, robots.txt analysis |
get_tech_trust_history | Paginated history of monitoring runs |
get_tech_trust_run_detail | Full competitor-by-competitor data for a specific run |
| Tool | Description |
|---|---|
get_content_dashboard | Latest sitemap analysis, content categorization, strategic URLs, gap analysis |
get_content_history | Paginated history of monitoring runs |
get_content_run_detail | Full data for a specific content run |
get_content_changelog | Detected URL changes over time (new, removed, moved) — filterable by competitor and category |
| Tool | Description |
|---|---|
get_positioning_dashboard | Latest homepage messaging, value props, CTAs, target audience analysis |
get_positioning_history | Paginated history of monitoring runs |
get_positioning_run_detail | Full data for a specific positioning run |
| Tool | Description |
|---|---|
get_pricing_dashboard | Latest pricing plans, billing options, market statistics, gap analysis |
get_pricing_history | Paginated history of monitoring runs |
get_pricing_run_detail | Full data for a specific pricing run |
| Tool | Description |
|---|---|
get_ai_visibility_dashboard | AI Visibility Scores, mention rates, per-provider breakdowns (OpenAI, Claude, Gemini) |
get_ai_visibility_history | Paginated history of AI visibility checks |
get_ai_visibility_check_detail | Full detail for a specific check with per-competitor rankings |
get_ai_visibility_trend | Track how LLM brand perception changes over time (up to 200 data points, filterable by provider) |
| Tool | Description |
|---|---|
get_action_plan | AI-generated competitive action plan across all 5 dimensions with prioritized recommendations |
list_alerts | Competitive change alerts — filterable by dimension, severity, and competitor |
list_schedules | Monitoring schedules for all dimensions with enabled/disabled status and intervals |
Run these against any public domain — no projectId needed. The sync tools return immediately; the async scans return a scanId you poll every 5–10 seconds.
| Tool | Description |
|---|---|
check_sitemap | Live sitemap analysis — URL discovery, categorization by section, content gaps and depth |
check_ai_crawlers | Live AI-crawler access check via robots.txt + meta tags — GPTBot, ClaudeBot, Google-Extended, PerplexityBot, and others |
start_tech_stack_scan | Start async tech-stack detection (117 rules: tech / growth / engagement). Returns scanId |
get_tech_stack_scan | Poll a tech-stack scan by scanId — returns detected technologies with confidence scores when complete |
start_trust_signals_scan | Start async trust-signals analysis (34 signals across enterprise readiness, validation, social proof, authority, risk). Returns scanId |
get_trust_signals_scan | Poll a trust-signals scan by scanId — returns per-signal verdicts and tier verdict when complete |
start_agent_adoption_scan | Start async Agent-Adoption Check (25 checks: discoverability, access, readability, agent endpoints). Returns scanId |
get_agent_adoption_scan | Poll an Agent-Adoption Check by scanId — returns complete results when finished |
fetch_url | Fetch any URL with JS rendering and bot-protection handling. Returns body, headers, cleanStats. Optional cleanHtml strips noise for LLM token-cost savings. 60 req/min per API key |
All paginated tools accept page and limit parameters. Check pagination.hasMore in the response to fetch more pages.
Once connected, try asking your AI agent:
See examples/prompts.md for more prompts organized by use case.
cl_live_| Method | When to use | Example |
|---|---|---|
CL-API-Key header | Claude Code, Cursor, VS Code, Windsurf, Cline | CL-API-Key: cl_live_... |
api_key query parameter | Claude Desktop, Claude Web, clients without custom header support | ?api_key=cl_live_... |
One API key covers your entire organization. Most tools are read-only; the three start_*_scan tools create scan records under your account (no edits to existing data). The fetch_url tool is rate-limited at 60 req/min per API key (tighter than the 1000/min default for other free tools).
MCP access is included with every CompetLab subscription ($99/mo). Free trial includes full MCP access.
| Issue | Fix |
|---|---|
| Connection refused / timeout | Verify the URL is exactly https://mcp.competlab.com/mcp with no trailing slash |
api_key_missing error | Ensure you're passing the key as CL-API-Key header (remote) or COMPETLAB_API_KEY env var (stdio) |
api_key_invalid error | Keys must start with cl_live_ and be exactly 40 characters |
| Transport not supported | Use the remote HTTP server, or switch to the local stdio server |
npm install @competlab/sdk)MIT (covers documentation and configs in this repo) — see LICENSE
The CompetLab MCP server and platform are commercial software. See competlab.com/terms-and-conditions.
Built by the CompetLab team. Competitive intelligence for the AI era.
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