~/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
357page
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
explainx / tool
Raghim AI
Enterprise AI agents and assistants with complete data sovereignty.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
railil skill by openclaw/skills
This skill helps you search Israel Rail schedules with fuzzy station matching, date/time filters, and multiple output formats for agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Rails skills for AI agents
Browse curated Ruby on Rails skills for AI coding agents. ActiveRecord, controllers, testing, and deployment.
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
railway skill by hoodini/ai-agents-skills
This skill helps you deploy and manage applications on Railway, including databases, private networking, and multi-service setups.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ralstp-consultant skill by openclaw/skills
This skill applies RALSTP methodology to analyze problems conceptually, identifying agents, landmarks, dependencies, and decomposition to guide planning.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ramalama-cli skill by openclaw/skills
This skill helps you run and manage AI agents with flexible model sourcing and local execution for safe, cost-effective tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ravi skill by openclaw/skills
This skill provides AI agents with identity management through Ravi, delivering email, phone, and encrypted vault access via a CLI.
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
react skill by sebastiaanwouters/dotagents
React v19 best practices for Vite SPA. Triggers on component design, re-renders, performance, memoization, state management, bundle optimization. Use for client-side React patterns.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
react-19 skill by fusengine/agents
This skill guides implementing React 19.2 patterns using use(), useOptimistic, useActionState, and Activity to preserve state and improve UI.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
react-forms skill by fusengine/agents
This skill guides you to implement TanStack Form v1 with type-safe validation and server actions, ensuring scalable forms across components.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
react-i18n skill by fusengine/agents
This skill enables React apps to implement i18n with react-i18next using TypeScript Selector API and Suspense integration for scalable translations.
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.