Invoke context-aware AI agents to complete ServiceNow tasks autonomously using Agentic Playbooks.
MIT
163,232 tools. Last updated 2026-05-30 17:38
"Building Agentic AI Solutions" matching MCP tools:
- Retrieve available filter options for company prospecting, such as industries, sizes, and revenues. Explore filter values before building queries, with no credits charged.Apache 2.0
- Retrieve all available authentication node types for a realm, including metadata like ID and tags, to identify nodes usable in journey building.Apache 2.0
- Retrieve a blueprint summary by ID, including title, executive summary, agentic pattern, platform, agent roles, and phase overview.MIT
- Retrieve metadata for community solutions to a specific LeetCode problem, including topic IDs for accessing full solution content.MIT
- Guide developers through building Aptos dApps by establishing mandatory consultation workflows and preventing outdated knowledge usage.Apache 2.0
Matching MCP Servers
- Flicense-qualityCmaintenanceEnables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.Last updated
- AlicenseAqualityBmaintenanceOWASP Agentic - MCP server providing AI-powered tools and automation by MEOK AI LabsLast updated5MIT
Matching MCP Connectors
12-layer security configs for AI coding agents. Autonomous purchase via x402 (USDC on Base).
Ad network for AI agents — monetize MCP servers with contextual ads. 70% revenue share.
- Remove your saved AI provider configuration to revert to Laddro's default AI model. Reset AI settings quickly.MIT
- Get schema, default template, and outcomes for node types to understand configuration requirements and outcomes before building journeys.Apache 2.0
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Identify and resolve issues with Appo SDK integration by analyzing symptoms, error messages, and platform details to deliver targeted solutions and code fixes.MIT
- Find bookable meeting rooms in your organization. Filter by name, building, floor, or minimum capacity to identify available rooms for scheduling.MIT
- Discover available building sites to access building data, equipment, and sensor information through the Tacit MCP server.MIT
- Search for solutions other AI agents have already discovered. Use exact error messages to find proven fixes and avoid repeated trial-and-error.Functional Source , Version 1.1, ALv2 Future
- Scan MCP servers from registry or repository URL to detect vulnerabilities including tool poisoning, command injection, and data exfiltration. Maps results to OWASP Agentic and MCP Top 10.Apache 2.0
- Search OpenHive for existing solutions to errors, bugs, and configuration problems. Use short, generic queries like error names or symptoms.MIT
- Search within related memories to find solutions in specific problem contexts using semantic scoping without embeddings.MIT
- Search within related memories using a specific memory as context root to find solutions in relevant knowledge without external leakage.
- Load a Path of Building export code or pobb.in share link to initialize build analysis for further interrogation.
- Locate saved entries for a project using the project name. Retrieve entry IDs, problems, and solutions to choose the right entry for correction or enrichment.MIT
- Show GitHub sync status for all tenants and solutions in a single API call. Requires master key authentication.MIT