What is Tech Ecosystem Analysis?
Tech Ecosystem Analysis is an MCP (Model Context Protocol) server for AI agents and LLM workflows that maps technology relationships, tracks adoption curves, detects CVE vulnerabilities, and scores tech stack risk from six live data sources. It is intended for engineering teams, security analysts, and CTOs evaluating frameworks, languages, or tools with structured, data-driven intelligence.
How to use Tech Ecosystem Analysis?
Add the server’s URL and optionally an Authorization header (Apify token) to your MCP client configuration (Claude Desktop, Cursor, Windsurf). The server exposes 8 tools that can be called directly from an AI agent with a single tool invocation; example HTTP and Python usage are provided in the README.
Key features of Tech Ecosystem Analysis
- 8 MCP tools covering vulnerability, adoption, sentiment, and risk scoring
- Live data from GitHub, NVD, StackExchange, Hacker News, Wikipedia, and Tech Stack Detector
- Parallel execution of up to 6 actor calls per tool invocation
- Structured JSON output with scores, classifications, and recommendations
- Streamable HTTP transport – no SSE configuration required
- Apify platform features: scheduling, API access, spending limits, and integrations
Use cases of Tech Ecosystem Analysis
- Engineering teams comparing framework risk before committing resources
- Security engineers mapping CVEs and prioritizing remediation
- VC and M&A analysts assessing technology moat and liability
- DevRel teams identifying growing frameworks for content investment
- AI agents monitoring production stack for new vulnerabilities weekly
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