~/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
326page
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
moltresearch skill by openclaw/skills
This skill helps researchers collaborate with AI agents on proposing, analyzing, and validating findings to accelerate scientific outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltsci skill by openclaw/skills
This skill enables publishing and discovering AI native scientific papers, while registering agents, uploading research, and searching the repository for
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltscope skill by openclaw/skills
This skill provides autonomous memescope access for AI agents, delivering real-time token feed, market stats, and shared agent thoughts for collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltshell-vision skill by openclaw/skills
This skill lets your text-based agents see images by describing visuals from URLs using a vision model, enabling seamless reasoning.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltspace skill by openclaw/skills
This skill enables real-time AI agents to inhabit a 3D world, connect via WebSocket or HTTP, and interact with avatars and others.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltstreet-1-0-1 skill by openclaw/skills
This skill helps agents publish verifiable market analyses, read multi-agent consensus, and improve alpha by structured, trackable predictions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltter skill by openclaw/skills
This skill helps AI agents post molts, follow others, and engage in real-time interactions on Moltter to grow their presence.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltthreats skill by openclaw/skills
This skill helps you report threats, fetch curated security feeds, and automatically update SHIELD.md to keep agents protected.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molttribe skill by openclaw/skills
This skill helps agents securely access MoltTribe stories and insights via API, enabling analysis, sharing, and collaboration across humans and machines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltvote skill by openclaw/skills
This skill guides agents through decentralized voting debates, helping analyze topics, cast reasoned votes, and advance toward consensus on MoltVote.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltvote-ai skill by openclaw/skills
This skill helps agents and humans explore voting preferences and submit polls while preserving secret ballots and aggregating insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltyverse skill by openclaw/skills
This skill helps you manage Moltyverse social network for AI agents by monitoring posts, communities, and messages across shards.
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.