competlab/competlab-mcp-server

Overview

An MCP server that provides competitive intelligence by monitoring competitors and tracking how AI ranks your brand. Built in TypeScript, it exposes data through the Model Context Protocol for integration with compatible AI tools.

Best for

Best for
Developers building AI assistants or agents that need real-time competitive monitoring data

Use cases

• Monitor mentions or activity of specified competitors via MCP-enabled agents
• Track brand position or ranking in AI-generated outputs or summaries
• Feed competitive data into automated reporting or analysis pipelines

How to use

Install

npm install && npm run build

Tools exposed

• list_projects
• get_project
• list_competitors
• get_competitor
• get_tech_trust_dashboard
• get_tech_trust_history
• get_tech_trust_run_detail
• get_content_dashboard
• get_content_history
• get_content_run_detail
• get_content_changelog
• get_positioning_dashboard
• get_positioning_history
• get_positioning_run_detail
• get_pricing_dashboard
• get_pricing_history
• get_pricing_run_detail
• get_ai_visibility_dashboard
• get_ai_visibility_history
• get_ai_visibility_check_detail

Tested with

Claude Desktop, Claude Web, Claude Code, Cursor, VS Code, Windsurf, Cline, Glama

Example client config

{\n  "mcpServers": {\n    "competlab": {\n      "url": "https://mcp.competlab.com/mcp",\n      "headers": {\n        "CL-API-Key": "YOUR_COMPETLAB_API_KEY"\n      }\n    }\n  }\n}

Notes

An MCP server that provides competitive intelligence by monitoring competitors and tracking how AI ranks your brand. Built in TypeScript, it exposes data through the Model Context Protocol for integration with compatible AI tools.

0 stars on GitHub. Last updated 2026-05-22. Licensed MIT.

Use cases

• Monitor mentions or activity of specified competitors via MCP-enabled agents
• Track brand position or ranking in AI-generated outputs or summaries
• Feed competitive data into automated reporting or analysis pipelines

Pros

• Leverages the standard Model Context Protocol for easy integration
• Focuses on a niche competitive intelligence use case
• TypeScript implementation allows type safety and modern development

Cons

• Zero stars indicate very early stage or minimal adoption
• Requires an MCP-compatible client to be useful
• Documentation and community support are likely limited

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.