~/agentstafferAgentStaffer
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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
221page
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
enterprisedna / framework
Agentic Radar
Agentic Radar is an open-source security scanner for LLM agentic workflows. It analyzes agent implementations for vulnerabilities such as prompt injection and insecure tool usage. The tool is written in Python and is designed to help developers audit their agentic systems.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-ai-frameworks skill by amnadtaowsoam/cerebraskills
This skill helps you design and compare autonomous AI agent frameworks to accelerate multi-agent coordination and tool integration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-browser skill by openclaw/skills
This skill automates web navigation and data extraction for AI agents using Playwright, enabling reliable interactions, screenshots, and video records.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-browser-0-1-2 skill by openclaw/skills
This skill automates browser tasks for AI agents, navigating pages, interacting with elements, and capturing outputs to support data extraction and testing.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-coding skill by openclaw/skills
This skill helps you ship production-ready AI-assisted code by enforcing contract-first work, proof of fix, and reviewer-ready handoffs.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-commerce skill by openclaw/skills
This skill helps you search products, build shopping assistants, and generate crypto-enabled purchase orders with Solana or Base.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-development-principles skill by supercent-io/skills-template
This skill helps you collaborate with AI agents using principled, scalable practices for decomposition, context management, abstraction, and automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-docs skill by petekp/agent-skills
This skill helps you keep inline code documentation clear and co-located with code, explaining why decisions were made and guiding future readers.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-engineering skill by openclaw/skills
This skill helps you boost productivity when coding with AI agents by coordinating parallel work, managing context, and applying atomic commits.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-marketing-auditor skill by openclaw/skills
This skill audits repositories for 2026 Marketing readiness, ensuring LLM discoverability and A2A readiness through readme and docs analysis.
MCPCLIA2A
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-paper-digest skill by openclaw/skills
This skill fetches and summarizes recent arXiv and Hugging Face papers and outputs a structured JSON digest for downstream agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentic-paper-digest-skill skill by openclaw/skills
This skill summarizes recent arXiv and Hugging Face papers and provides a JSON feed for downstream 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.