Technical · Enterprise
Levy Wald MCP Server
The Levy Wald methodology exposed as AI tools to your stack. Connect Claude, GPT, or any MCP-compatible model and your team uses the same intelligence Yair does.
Book technical demo →What is the Levy Wald MCP Server
A dedicated MCP (Model Context Protocol) server that runs the Levy Wald methodology as a set of tools invokable by any AI model. Diagnostic, classification, prioritization, blueprint recommendation, search over proprietary RAG.
If you have an internal team already using Claude, GPT, or AI agents, this server gives them access to the same inference Yair uses when working with a client.
Architecture
MCP Server self-hosted or managed by us. HTTPS endpoints with API key authentication. Stack: Node.js, PostgreSQL with pgvector, OpenAI embeddings, Claude Sonnet/Opus reasoning. Target latency: under 800ms per tool call. Observability through structured logs.
Integrations
Compatible with Claude Desktop, Claude Code, Cursor, Zed, any MCP-standard client. Native SDK for custom integration in Python and TypeScript. Webhooks for key events. Optional connectors with Zoho, HubSpot, Notion, Google Drive.
Security and compliance
Your content lives in an isolated tenant. Zero retention on client prompts. Auditable logs with configurable retention. Encryption in transit and at rest. SOC 2 roadmap 2026. Contractual confidentiality on any processed content.
Use cases
Consulting teams wanting to scale the Levy Wald methodology without hiring each one individually. Accounting and legal firms assisting PyMEs needing a methodological copilot. Incubators with portfolios of companies each needing structural diagnostics.
Preguntas frecuentes
Is it self-hosted or managed?
Both options. Self-hosted ships as a Docker container. Managed runs on our infrastructure.
What data stays in your infrastructure?
Only anonymized technical usage logs (latency, errors). Content processed in tool calls is not persisted.
Does it work with open-source models?
Yes, any MCP client is compatible. We recommend Claude for quality, but the protocol is model-neutral.
Can I extend the server with my own tools?
Yes, via native SDK or through PRs to the repo if you have enterprise access.