~/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
268page
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 / workflow
Design skills for AI agents
Browse Design skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
design-system-patterns skill by wshobson/agents
This skill helps you design scalable design systems by managing tokens, theming, and component architectures across platforms.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dev skill by truongnat/agentic-sdlc
This skill empowers you to implement features by researching KB, following design specs, and maintaining atomic commits with proper documentation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
developer-toolbox skill by jezweb/claude-skills
This skill streamlines development workflows by coordinating commit, build, test, review, debug, and documentation tasks with specialized agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
developing-openai-agents-sdk-agents skill by mikekelly/developing-openai-agents-sdk-agents
Build, create, debug, review, implement, and optimize agentic AI applications using the OpenAI Agents SDK for TypeScript. Use when creating new agents, defining tools, implementing handoffs between agents, adding guardrails, debugging agent behavior, reviewing agent code, or orchestrating multi-agent systems with the @openai/agents package.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
device-assistant skill by openclaw/skills
This skill lets you manage all devices, look up error codes, and receive troubleshooting and warranty reminders instantly.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
devops-jenkins skill by shaul1991/shaul-agents-plugin
This skill manages Jenkins CI/CD jobs, triggers builds, retrieves logs, and analyzes results to accelerate automated deployments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dewey-docs skill by arach/dewey
This skill helps you generate agent-ready project documentation using Dewey, creating AGENTS.md, llms.txt, and install.md for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Dexter
Dexter is an autonomous financial research agent that thinks, plans, and learns as it works.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dialogflow-cx-to-agent-studio-migration skill by openclaw/skills
This skill migrates Dialogflow CX agents to CX Agent Studio by exporting, validating components, creating CES apps/agents, and generating a migration report.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
Dify MCP Client MCP Server - 3dify-project/dify-mcp-client
Provides on-demand MCP client capabilities, connecting ReAct agents to remote MCP servers and enabling tool-based automation with optional UI-TARS GUI automation.
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.