~/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
254page
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
code-antipatterns-analysis skill by laurigates/claude-plugins
This skill analyzes codebases for anti-patterns and quality issues across JavaScript, TypeScript, Python, Vue, and React using parallel agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-assistant skill by openclaw/skills
This skill analyzes, debugs, optimizes, and documents code, helping you ship faster by automating improvements and enriching your project with quality findings.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-clone-assistant skill by terrylica/cc-skills
This skill detects code clones using PMD CPD and Semgrep and guides targeted refactoring to reduce duplication.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-commentary-standards skill by amnadtaowsoam/cerebraskills
This skill helps you write effective code comments by explaining why decisions were made, improving clarity for future developers and AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-investigator skill by toilahuongg/shopify-agents-kit
This skill performs comprehensive codebase investigation by mapping features, then running parallel subagents to audit risks, dead code, and missing
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-quality skill by fusengine/agents
This skill validates code quality across languages by enforcing linters, SOLID principles, and architecture compliance with a six-phase workflow.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-review skill by outfitter-dev/agents
This skill helps you conduct structured pre-commit code reviews with checklist-driven findings and clear remediation guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-review skill by sammcj/agentic-coding
This skill guides post-development code reviews by orchestrating parallel sub-agents to surface findings and enforce fixes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-review-assistant skill by dmitriiweb/extract-emails
This skill performs structured, actionable Python code reviews with clear findings and suggestions to improve correctness, security, and maintainability.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-reviewer skill by shaul1991/shaul-agents-plugin
This skill reviews frontend and backend code for quality, tests, security, and performance to help you ship reliable software faster.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
codedna skill by openclaw/skills
This skill helps you manage on-chain AI lifeforms with CodeDNA by initializing wallets, provisioning agents, and monitoring autonomous agent cycles.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
CodeFuse
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo R…
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.