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606,045 tools. Updated 2026-09-24 06:46

"Expert database architecture design services for financial industry" matching MCP tools:

  • Create a new stateful conversation session for multi-turn cloud architecture design. Useful when each design turn depends on the prior one, enabling iterative refinement with frozen constraints and budget or compliance settings.
    MIT
  • Modify existing architecture artifacts in Tentra by updating services, connections, and components while preserving unchanged elements.
    MIT
  • Review system design, component boundaries, and design tradeoffs by routing architecture requests to the System Architecture Reviewer for delegated execution.
    MIT

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  • Pricing/details for Edge Thirteen's current industry primer, sourced to each firm's own 10-K.

  • Guide user-led frontend design decisions from project brief through implementation review.

  • Retrieve a phased, expert design roadmap for your project type. Start any design project by viewing each phase's goal and the knowledge-base docs to consult at that step.
    MIT
  • Analyze project architecture from multiple expert perspectives to identify actionable improvements and validate technical decisions.
    MIT
  • Fetch the complete agent context JSON from a finished analysis, containing file index, dependency graph, architecture layers, call chains, and database schema, for saving codebase understanding.
    MIT
  • Retrieve the overall architecture of a LaunchFrame project, including services, backend modules, key patterns, frontend structure, and infrastructure details.
    MIT
  • Analyze large codebases or complex projects using Google Gemini's 1M token capacity for architecture design, code review, or comprehensive context analysis.
    MIT
  • Screen SEC-registered companies by exchange, industry, name, or financial health score. Use exchange/name for instant results or industry/health for deep filtering.
    MIT
  • Retrieve required controls, risk flags, and human-in-the-loop triggers for an architecture by providing industry, data classification, region, deployment, and governance constraints.
    MIT
  • Generate a scalable system design for a stated goal, covering architecture decisions, data flow, scaling, failure modes, and a decision log.
    MIT
  • Submit architectural questions to receive expert guidance on system design, scalability, and technical decision-making. Provide optional context for tailored recommendations.
    MIT
  • Retrieve industry-standard patterns and checklists for architectural concerns—API, auth, database, testing, security, CI/CD—to support production-readiness audits.
    MIT