~/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
355page
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
qa-testing-android skill by vasilyu1983/ai-agents-public
Android testing with Espresso, UIAutomator, and Compose Testing; layered strategy, flake control, device matrix, CI integration, and ADB automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-testing-playwright skill by vasilyu1983/ai-agents-public
Use when writing E2E web tests, debugging flaky tests, or setting up Playwright CI. Covers: stable selectors (getByRole), parallelization/sharding, flake control, network mocking, visual testing, MCP/AI automation, and CI/CD integration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-testing-strategy skill by vasilyu1983/ai-agents-public
Risk-based quality engineering test strategy for software delivery. Use when defining or updating test strategy, selecting unit/integration/contract/E2E/performance/security coverage, setting CI quality gates and suite budgets, managing flaky tests and test data, and operationalizing observability-first debugging and release criteria.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-code-intelligence skill by proffesor-for-testing/agentic-qe
This skill helps you build and query a knowledge graph for code, enabling semantic search, dependency mapping, and substantial token reduction.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-iterative-loop skill by proffesor-for-testing/agentic-qe
This skill orchestrates autonomous QE iteration loops to improve tests, coverage, and quality gates using AQE v3 fleet coordination.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-learning-optimization skill by proffesor-for-testing/agentic-qe
This skill facilitates transfer learning, hyperparameter tuning, A/B testing, and continuous improvement for QE agents to boost quality outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-quality-assessment skill by proffesor-for-testing/agentic-qe
This skill scans code quality, enforces gates, and delivers actionable reports to speed reliable deployments and continuous improvement.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-security-compliance skill by proffesor-for-testing/agentic-qe
This skill guides security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and related standards.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-test-generation skill by proffesor-for-testing/agentic-qe
This skill automates AI-powered test generation from code analysis and patterns to improve coverage across frameworks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qe-visual-accessibility skill by proffesor-for-testing/agentic-qe
This skill helps verify visual integrity, responsive layouts, and WCAG 2.2 compliance across browsers to prevent regressions and accessibility issues.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Qodo
Quality-first AI code generation to help busy devs write, test and review code.
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.