~/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
218page
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
agent-patterns skill by willsigmon/sigstack
This skill helps you decide when to spawn agents versus work directly, enabling parallelism, specialization, and token-efficient workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-pr-manager skill by ruvnet/ruflo
This skill orchestrates multi agent PR workflows, automating reviews, tests, and merges to accelerate code delivery.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-protocol skill by openclaw/skills
This skill enables agents to communicate via events, orchestrate workflows, and autonomously execute multi-step tasks with a robust event bus.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-republic skill by openclaw/skills
This skill lets humans and agents manage Agent Republic with a single script, simple credentials, and clear commands for registration, elections, and bots.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security skill by openclaw/skills
This skill helps secure AI agents by auditing secrets, permissions, API key storage, prompt injection risks, and access patterns in your workspace.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security-monitor skill by openclaw/skills
This skill helps AI agents detect security risks and alert on exposed secrets, unverified skills, and suspicious activity to protect supply chains.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skill-creator skill by francyjglisboa/agent-skill-creator
This skill helps you create production-ready agents or agent suites autonomously, guiding discovery, design, architecture, and implementation for scalable
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skills skill by third774/dotfiles
This skill helps create, modify, and review Agent Skills to ensure RFC 2119 compliance and progressive disclosure for efficient asset organization.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skills-context-engineering skill by openclaw/skills
This skill streamlines context engineering for AI agents by auto-loading sub-skills like compression, memory, and multi-agent patterns to optimize performance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-slack skill by devxoul/agent-messenger
This skill enables AI agents to manage Slack workspaces, send messages, fetch channels, and handle reactions, boosting productivity across teams.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-sona-learning-optimizer skill by ruvnet/ruflo
This skill optimizes learning and memory for agents by applying LoRA fine-tuning, EWC++, and pattern discovery to boost quality with minimal overhead.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-swarm skill by ruvnet/ruflo
This skill orchestrates scalable AI agent swarms in Flow Nexus, deploying specialized agents, coordinating tasks, and optimizing performance across topologies.
MCPHTTPCLI
- 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.