~/agentstafferAgentStaffer
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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
215page
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-create skill by muranustb/skills-create_skills
专业的 AI Agent 开发助手，支持 LangGraph、AgentScope、DeepAgent、AutoGen、CrewAI 等主流框架的完整开发流程
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-creator skill by agdev/claude-code
Expert guidance for creating effective Claude Code agents (subagents). Use when users want to create a new agent, update an existing agent, or learn agent design best practices. Covers agent architecture, prompt engineering, tool selection, model choice, and common pitfalls. Integrates with skill-creator when agent needs accompanying skills.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-creator skill by enoch-robinson/agent-skill-collection
This skill helps you design and configure AI agents by defining roles, prompts, tools, workflows, and guardrails for scalable collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-credit-system skill by openclaw/skills
This skill helps you manage credit for AI agents by borrowing USDC based on Moltbook karma, with tiered limits and 0% interest.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design skill by dasien/claudemultiagenttemplate
This skill designs AI agents for software tasks by mapping tools, defining personas, and selecting capabilities to achieve targeted outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design skill by fusengine/agents
This skill helps you design high-performance AI agents using 2025 patterns and clear architecture templates for scalable, flexible automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-development skill by letta-ai/skills
This skill guides you through architecting Letta agents, memory design, model selection, and tool configuration to build effective Letta agents.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
agent-device MCP Server
Discovery router for the agent-device CLI with status, install, help, prompts, and resources Browse agent-device MCP Server for Claude, Cursor, VS Code,...
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-directory skill by openclaw/skills
This skill helps you discover tools, platforms, and infrastructure for AI agents, enabling quick access to services and skill documentation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-discord skill by devxoul/agent-messenger
This skill helps you manage Discord servers with AI agents by automating messages, channel queries, and server state retrieval.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-dispatch skill by openclaw/skills
This skill routes tasks to specialized subagents via a dynamic registry and on-demand downloads, optimizing specialized engineering work.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-docs skill by openclaw/skills
This skill helps craft documentation optimized for AI agents, structuring content for RAG retrieval and token efficiency across layers.
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.