How it works
Powered by MCP (Model Context Protocol) - the open standard for AI tool integration
Step 1
Connect
Integration in minutes, not in months
Add Prevector to any MCP-compatible AI system such as ChatGPT, Claude, Gemini or your own GPT application. MCP (Model Context Protocol) is an open standard that lets AI systems access external tools without custom integrations. No API wrappers. No middleware. No modifications to your existing stack. Just add our server endpoint to your MCP configuration and your AI gains structured access to professional standards.
Step 2
Query
Hybrid search with paragraph-level precision
Your AI queries our structured standards database using hybrid search combining semantic understanding with keyword matching. Ask natural questions or search for specific provisions. The system understands both. Every query returns results at the paragraph level, not just document titles. When your AI asks about disclosure requirements, it gets the exact paragraphs that answer the question not a vague pointer to a 200-page standard.
Step 3
Cite
Every answer traceable to its source
Every response includes complete citations: standard name, paragraph number, and exact source text. Your AI does not just give answers, it shows its work. Citations link directly to official source documents. When a client questions a finding, you can trace it back to the authoritative text in seconds. No more "the AI said so", now it is "ESRS E1 paragraph 35 requires this."
Supported standards
Structured, searchable access to the frameworks that drive your work.
Built for precision
Every component designed for audit-grade accuracy
Integration
Simple AI integration
Prevector connects via MCP (Model Context Protocol), the open standard for AI tool integration. Add structured standards access to ChatGPT, Claude, Gemini, or any AI-system in minutes. No custom development, no middleware, no changes to your existing setup.
Security
Secure by design
Prevector runs as a separate service with no access to your AI's context or outputs. Query data is not logged or stored. Deployment options include cloud-hosted or private infrastructure for maximum control.
Verification
Complete citations
Each response returns the exact paragraph reference, section hierarchy, and document source. No hallucinated citations, every output is traceable to official published standards.
Simple, predictable pricing
Subscription-based access that scales as you grow
How pricing works
Monthly subscription and billed per MCP server starting from €500 p/m
API rate limits that scale with your plan
No variable costs or hidden fees.
Pilot and short contracts available