~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
4993total
4993filtered
328page
417pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Connect agents to tools, MCP servers, SDKs, or external APIs.
- Review install manifests and permissions.
- Confirm client compatibility before local setup.
Recommended trials and bundles
playbooks / skill
multi-agent-coordination skill by zpankz/mcp-skillset
This skill coordinates multiple agents in a project, managing sessions, file reservations, and peer communication to prevent conflicts.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-coordinator-zhuyu28 skill by openclaw/skills
This skill coordinates multiple AI agents to orchestrate complex tasks, improving efficiency through structured workflows and cross-agent collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-dev-team skill by openclaw/skills
This skill coordinates a PM and Dev to plan, assign tasks, and implement software projects with collaborative AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-en skill by openclaw/skills
This skill orchestrates five sub-agents to handle tasks in parallel or sequentially, maximizing speed and reliability through round-robin dispatch.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-orchestrator skill by openclaw/skills
This skill helps you rapidly prototype multi-agent systems by generating specialized agents, revealing their structure, and visualizing collaboration patterns.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-parallel-build skill by openclaw/skills
This skill orchestrates multiple coding agents to build UI pages and APIs in parallel, reducing wall-clock time and ensuring cohesive shared infrastructure.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-ai-collab skill by takuan-osho/ccmarketplace
Orchestrate multiple AI agents with specialized personas for cross-review and collaborative development
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-reviewer-patterns skill by wshobson/agents
This skill coordinates parallel code reviews across multiple quality dimensions, deduplicates findings, calibrates severity, and produces a consolidated report.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
music-assistant skill by openclaw/skills
This skill lets you control Music Assistant for playback, volume, queue and library searches across providers.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
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.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4993 matching candidates for MCP & Tool Integration. 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.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.