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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 해주는 고품질 MCP (Model Context Protocol) 서버를 만들기 위한 가이드입니다. Python (FastMCP) 또는 Node/TypeScript (MCP SDK)를 사용하여 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용하세요.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build robust MCP servers for LLM-external service integration, enabling tool design, API access, and scalable workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Comprehensive guide for creating Model Context Protocol (MCP) servers. Use when building MCP servers, integrating external APIs, or creating tool interfaces for LLMs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build high-quality MCP servers to enable LLMs to safely interact with external services via well-designed tools.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides building high-quality MCP servers enabling LLMs to safely interact with external services through thoughtful tool design.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you in building high-quality MCP servers to enable LLMs to securely interact with external services.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates MCP capability declarations from tool and resource inventories, including versioning and feature flag setup for seamless server
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Complete 11-phase guide for building production-ready MCP (Model Context Protocol) servers with semantic layer integration. Covers foundation to deployment, including agent-centric design, tool development, testing, error handling, performance optimization, monitoring, security, governance, and semantic layer integration for business metrics. Use when build...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill unifies access to multiple financial data sources, delivering real-time quotes, historical data, and financial metrics with a single interface.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement robust MCP servers and clients with JSON-RPC 2.0, security, and performance best practices for AI integrations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and expose MCP servers quickly with tools, resources, and prompts to extend Claude with custom capabilities.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.