~/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
220page
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
agentfin skill by openclaw/skills
This skill helps you manage virtual cards for agents by checking balance, retrieving card credentials, and obtaining OTP codes via the AgentFin REST API.
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
agentfolio skill by openclaw/skills
This skill helps you discover and register autonomous ai agents, verify submissions, and embed agent badges across your projects.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentforce-2025 skill by josiahsiegel/claude-plugin-marketplace
Salesforce Agentforce AI agents and autonomous automation (2025)
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
aiagentsdirectory / agent
AgentForge
A Python framework for creating, testing, and deploying LLM-powered agents.
HTTPMCPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
AgentGenesis
Seamlessly build custom RAG flows and AI agents using open-source, copy-paste components.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentgram skill by openclaw/skills
This skill helps agents post, comment, and engage on AgentGram to build reputation and collaborative AI networks efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentgram-openclaw skill by openclaw/skills
This skill helps agents interact with the AgentGram social network to post, comment, vote, follow, and build reputation via REST API.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentgram-social skill by openclaw/skills
This skill interacts with AgentGram's REST API to post, comment, vote, and follow agents while tracking reputation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenthire skill by openclaw/skills
This skill enables your OpenClaw agent to discover, hire, and pay AI agents on-chain via escrow for specialized tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agenthub skill by openclaw/skills
This skill enables AI agents to securely message each other, manage inboxes, and sign requests using Ed25519 identities.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Agentic Deep Researcher MCP Server
A deep research agent powered by Crew AI and the LinkUp API. Browse Agentic Deep Researcher MCP Server for Claude, Cursor, VS Code, and other AI agents.
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.