Create a goal session for managing multi-task objectives with subgoal dependencies, generating structured goal documentation and status tracking for auditable execution.
MIT
407,520 tools. Last updated 2026-08-07 05:11
"A server for orchestrating and managing AI task workflows" matching MCP tools:
- Access task-level execution metrics across workflows to analyze performance, application usage, and statistics for automation monitoring and optimization.GPL 3.0
- Retrieve a curated list of featured AI workflows for generating images, text, and other content.MIT
- Retrieve your published AI workflows with run counts and creation dates. Manage and review your custom glifs.MIT
- Retrieve task execution metrics for a specific task name, gaining performance insights across all workflows where it runs.GPL 3.0
- Create a resource model to define structure, validation rules, and lifecycle workflows for network services or infrastructure components on Itential Platform.GPL 3.0
Matching MCP Servers
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Matching MCP Connectors
- Parallel Task MCPOAuth
An MCP server for deep research or task groups
Break down complex problems into clear, actionable steps. Adapt on the fly by iterating, revising,…
- Retrieve available task status workflows for a Dooray project to use when creating or updating tasks with proper workflow IDs.MIT
- Get the orchestration guide for this MCP server, covering tool layers, subagent golden path, boot verification, and failure recovery. Use it before orchestrating subagents or when agent results are unclear.MIT
- Create or update a pooled agent for a specific task, assigned a stable key for retrieval and reuse.MIT
- Analyze task execution patterns to identify bottlenecks and optimize complex workflows for better performance.MIT
- Analyzes your development task description to identify and enable the most relevant workflows in XcodeBuildMCP, optimizing for project, simulator, device, macOS, and Swift package tasks.MIT
- Execute a command and get AI-driven analysis with recommendations for fixing failures, optimizing workflows, and identifying issues.Apache 2.0
- Generate images using pre-configured AI workflows for text-to-image and image-to-image tasks without managing complex JSON configurations.MIT
- Provides context-specific usage tips and best practices for AI assistants in development workflows, including when to trigger achievements, use voice packs, and integrate gamification patterns.
- Transform legacy SAPUI5 projects for AI-assisted development by structuring code, creating baselines, and indexing context to enable automated analysis and generation.MIT
- Get a complete catalog of available tools, canonical workflows, and usage tips in one call. Ideal for AI clients to quickly understand capabilities and plan workflows.MIT
- Retrieve documentation for Xano's Meta API to programmatically manage workspaces, databases, APIs, functions, and more. Select a topic to get endpoints and examples.MIT
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- Transfer an agent task to a different AI model when execution is blocked or cross-model review is needed. Writes a handoff record and updates the task assignee.MIT