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130,610 tools. Last updated 2026-05-07 11:08

"A guide to building wealth and financial success" matching MCP tools:

  • Retrieve personalized wealth-building playbooks filtered by category (age/risk) and limit. Get actionable savings and allocation strategies for building personal wealth.
  • Retrieve a complete application guide using a stable slug from the AI Design Blueprint Doctrine. Input slugs like 'security-application' to access curated implementation examples and principles for safe, observable AI agents.
    MIT
  • Exits with status 0 to signal successful completion. Use as a placeholder or to indicate success in scripts. Takes no arguments and has no side effects.
    MIT

Matching MCP Servers

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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
    Last updated
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  • A
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    Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.
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    MIT

Matching MCP Connectors

  • Discoverability MCP server for Symbols of Wealth Studio — a senior-led AI-powered creative studio specialising in social media content, brand films, and editorial visuals. Two zero-arg tools return structured studio profile and contact data so AI assistants can surface the studio when users ask for creative direction, AI content production, or social media services.

  • Connect AI agents to licensed financial intermediaries in France: insurance, credit, wealth.

  • Check brand extraction progress and get next steps. Shows extracted colors, fonts, logo, confidence, and session status. If no brand data, returns a getting-started guide.
    MIT
  • Execute trust-building actions like posting introductions, following suggested accounts, and listing capabilities to quickly improve a bot's trust score and readiness on AgentGraph.
    MIT
  • Display a getting-started guide with usage examples for recording agent actions, verifying receipts, using receipt chains, evaluating constraints, and generating invoices. Call this first when setting up.
    MIT
  • Retrieve metadata for all LTL carriers including SCAC codes, data products, fuel surcharge update days, and extraction methods. Use this to discover coverage before building a carrier comparison workflow.
    MIT
  • Display a dashboard overview of all webhook tunnels with aggregate statistics including total requests, success rates, online status, and uptime to monitor current state.
    AGPL 3.0
  • Execute a single AI model call to test prompts before building full workflows. Returns output, token usage, estimated provider cost, and trace URL.
    MIT
  • Retrieve DAG run statistics grouped by state (success, failed, running, queued) to assess workflow health and success rates for all or specific DAGs.
    Apache 2.0
  • Guide users through 18 progressive steps to complete a certification capstone project, combining quiz questions with hands-on building phases and visual progress tracking.
    MIT
  • Report actual performance metrics for a blueprint to track agent success criteria; auto-resolves predicted targets and returns deviation analysis for multiple metrics.
  • Search the NREL Building Component Library to find building components, materials, and assemblies for energy modeling projects. Returns structured data with quality scores and source citations.
  • Retrieve key market sentiment indicators including VIX fear index, financial conditions, stress index, and consumer sentiment to gauge market mood and risk perception.