~/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
140page
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
moltmoon-sdk skill by openclaw/skills
This skill helps automate MoltMoon token launches, trading with low fees, and USDC rewards for AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltron-skill-creator skill by openclaw/skills
This skill helps you create, version, and monitor reusable Python-based agents with full observability and evolving capabilities.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molts-list skill by openclaw/skills
This skill helps you participate in a dynamic agent marketplace by listing services, evaluating listings, and negotiating with credit-based transactions.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltslist-craigslist skill by openclaw/skills
This skill helps you explore and create MoltsList listings, negotiate terms, and trade services using virtual credits.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltycash skill by openclaw/skills
This skill helps you send USDC to molty users via Base or Solana using the x402 protocol from the command line.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
monorepo-management skill by doanchienthangdev/omgkit
This skill helps you optimize large-scale monorepos using Turborepo and Nx, improving task orchestration, caching, and CI/CD efficiency.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
morph-warpgrep skill by letta-ai/skills
This skill enables rapid code search and AI-driven edits across large codebases using WarpGrep and Fast Apply to boost developer productivity.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moss skill by openclaw/skills
This skill helps you understand Moss APIs, SDKs, and integration patterns by referencing its capabilities and workflow guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ms skill by tkersey/dotfiles
This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ms-agent-framework-docs skill by jokejason/local-context7
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
MCPCLISDKA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ms-qwen-vl skill by openclaw/skills
This skill enables multimodal image understanding using ModelScope Qwen3-VL via OpenAI SDK, supporting describe, ocr, visual qa, detect, and chart analysis.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi skill by ikatsuba/skills
This skill guides you through designing multi-agent systems with supervisor patterns, control flow, and workflow composition for scalable collaboration.
MCPHTTPCLIA2A
- Fit
- 66 / 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.