Klavis AI's ReportGen server compresses the manual report generation process, which traditionally takes 5-8 hours, into 3 minutes. Its technical architecture consists of a three-layer processing engine: a web crawling layer that obtains raw data through Firecrawl, an LLM parsing layer that uses the Claude model to extract key information, and a visualization layer that automatically generates interactive charts based on D3.js. The test data shows that the parsing accuracy of the 100-page industry report reaches 92.3%.
In a typical application scenario, a marketer types in Slack/klavis reportgen 竞品分析The system automatically performs: 1) crawling 10 authoritative data sources; 2) identifying 7 types of core elements such as market trends; and 3) outputting shareable HTML reports containing 3D bar charts. A case study of a consulting company proved that the program reduced the cost of quarterly report production by 70%.
The developer can modify themcp_servers/report_generationThe Jinja2 template in the customized report style, the platform provides 12 categories of pre-made templates such as market share, user profiles and so on. In terms of performance optimization, it supports setting crawling depth (timeout=30s) and caching strategy (TTL=24h), and it takes only 8.7 seconds to process 20MB web data.
This answer comes from the articleKlavis AI: Model Context Protocol (MCP) Integration Tool for AI ApplicationsThe
