~/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
253page
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
closed-loop-design skill by melodic-software/claude-code-plugins
Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verification.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cloud-memory skill by openclaw/skills
This skill provides persistent memory for AI agents by storing, recalling, and organizing context across sessions for smarter interactions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cloudflare skill by hoodini/ai-agents-skills
This skill helps you build and deploy at the edge on Cloudflare by guiding workers, pages, D1, R2, KV, and AI workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cloudflare-agents skill by secondsky/claude-skills
This skill helps you build AI agents on Cloudflare Workers by integrating tools, MCP, and multiple LLM providers for scalable automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cloudrun-development skill by tencentcloudbase/cloudbase-mcp
This skill helps you develop CloudBase Run backends with long connections and AI agents, supporting multi-language runtimes and secure, scalable deployments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cloudtalk skill by openclaw/skills
This skill helps you manage CloudTalk data via Membrane, enabling actions on contacts, calls, agents, and messages with secure auth.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
clude-memory skill by openclaw/skills
This skill helps AI agents persist memory, search by meaning, and surface connections across projects for faster, more accurate recalling.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cluster-agent-swarm-skills skill by openclaw/skills
This skill coordinates seven specialized agents to manage Kubernetes and OpenShift platform operations across orchestration, governance, and developer
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
coda-ai skill by openclaw/skills
This skill helps AI agents read and navigate Coda.io content by listing docs, listing pages, and reading page content in multiple formats.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Code Review skills for AI agents
Browse Code Review skills for Claude Code, Cursor, Codex and more AI coding 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.