~/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
274page
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
explainx / agent
Entelligence.AI
Elevating engineering team productivity with AI that contextually understands your entire engineering stack
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc8004-discover skill by openclaw/skills
This skill helps you discover and monitor ERC-8004 AI agents by skill, chain, or reputation, with leaderboards and metadata tracking.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc8004-reputation skill by openclaw/skills
This skill helps you query and manage on-chain ERC-8004 reputation for AI agents across chains, including lookup, feedback, and leaderboards.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
esimpal-api skill by openclaw/skills
This skill helps you design and test agents integrating the eSIMPal API to buy, create orders, and deliver activation securely with approvals.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
etf-assistant skill by openclaw/skills
This skill helps you query ETF quotes, screen targets, compare performance, and calculate DCA to optimize your ETF investments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
etoro-apps skill by openclaw/skills
This skill enables agents to access eToro market data, portfolios, social features, and execute trades via OAuth or API keys for real or demo environments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
Evalview Mcp
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evolver-repo skill by openclaw/skills
This skill enables AI agents to analyze runtime history and autonomously evolve capabilities to improve reliability and performance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
excalidraw-diagrams skill by sammcj/agentic-coding
This skill helps you create and update Excalidraw diagrams with proper layout, binding, and file export guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
excoder-autonomy skill by openclaw/skills
This skill guides AI agents on using Ex-Coder Autonomy CLI with OpenRouter Groq models, including agent modes, snapshots, sessions, and LSP integration.
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.