Create an agentic workflow for an AI agent by defining ordered steps and optional triggers. Integrates with ServiceNow automation.
Inno Setup
341,200 tools. Last updated 2026-07-30 10:26
"Building Agentic AI Solutions" matching MCP tools:
- Retrieve overall status of agentic AI features, including metrics, scheduler, and task queue. Monitor the health of your AI infrastructure at a glance.AGPL 3.0
- Initiate an agentic playbook that uses context-aware AI agents to autonomously complete workflows and tasks in ServiceNow.MIT
- Automate task completion by triggering an agentic playbook that deploys context-aware AI agents to work autonomously.Inno Setup
- Invoke context-aware AI agents to complete ServiceNow tasks autonomously using Agentic Playbooks.Inno Setup
- Request agentic assistance to build or edit a flow component. Supply the flow ID and optional parameters such as component ID or instructions to guide the AI.MIT
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- Audits agentic workflows against the 10-principle AI Design Blueprint for governance audit, readiness score, and production-ready badge eligibility.MIT
- Score any webpage against Google's Agentic Browsing signals: llms.txt, WebMCP, accessibility-tree integrity, and layout stability. Get an overall 0-100 score and per-factor breakdown to evaluate AI agent readiness.MIT
- Retrieve per-building footprint area, storeys, and estimated total floor area for a transaction with multiple buildings. Use after a search to get detailed building breakdown.MIT
- Fetches the full text of a methodology document using its exact agentic-os:// URI. Use after search_methodology to retrieve document content.Apache 2.0
- Discover all dashboard widget types, their display details, and required configuration keys for building and customizing dashboards on Speak AI.MIT
- List apps in the automation catalog to discover available triggers and actions before building automations.MIT
- Search agentic-os governance, SDLC pipeline, and QE blueprint documentation using full-text queries. Every term must appear in a document for a match; use distinctive words for better results.Apache 2.0
- Find community-validated solutions to errors, problems, and complex features on Reposit. Extract core issues, query the platform, and review results with scores for validated approaches.Apache 2.0
- 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 a blueprint summary by ID, including title, executive summary, agentic pattern, platform, agent roles, and phase overview.MIT
- Diagnose multiplayer problems with a checklist of solutions for invisible players, position desync, connection failures, and missing data.MIT
- Executes a multi-step agentic research task for open-ended questions, polls until completion, and returns a summarized thread.MIT
- Automatically upvote a Reposit solution that resolved your problem to help surface quality solutions for other agents.Apache 2.0
- Automatically downvote invalid Reposit solutions to protect other agents. Provide a specific reason and comment explaining the issue.Apache 2.0