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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
224page
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
agentpulse skill by openclaw/skills
This skill helps you monitor LLM costs, tokens, latency, and errors across agents, enabling proactive spending controls and performance insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents skill by danielmiessler/personal_ai_infrastructure
This skill composes, configures, and orchestrates custom agents with personalized traits and voices to boost productivity.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents skill by openclaw/skills
This skill helps design, build, and deploy AI agents using architecture patterns, tooling, and memory strategies for safe production.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-autogpt skill by vadimcomanescu/codex-skills
This skill helps you build and deploy continuous autonomous agents with a visual flow editor and modular blocks for rapid automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-infra skill by openclaw/skills
This skill helps you manage AI agent infrastructure including phone, email, compute, and domains with seamless x402 payments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-langchain skill by vadimcomanescu/codex-skills
This skill helps you build LLM-powered agents, chains, and RAG pipelines with LangChain, enabling tool calling, memory, and rapid prototyping.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-llamaindex skill by vadimcomanescu/codex-skills
This skill helps you leverage LlamaIndex to build retrieval-augmented generation apps, ingest data, and query private knowledge efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md skill by dimitrigilbert/ai-skills
This skill helps you create, verify, and improve AGENTS.md files with progressive disclosure and concise root guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md skill by getsentry/skills
This skill helps you maintain AGENTS.md concisely by referencing local skills and applying minimal, header-driven documentation guidelines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md-assistant skill by dmitriiweb/extract-emails
This skill drafts a comprehensive AGENTS.md from repository context, capturing commands, structure, and workflow rules to accelerate onboarding.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md-generator skill by jthoms1/builder-skills
Generate comprehensive agents.md files for Builder.io Fusion projects. Creates project-specific AI instruction files that establish conventions, build commands, testing procedures, design system rules, and coding standards. Use when setting up a new project, onboarding a repository to AI-assisted development, or improving AI code generation quality.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md-generator skill by julianromli/ai-skills
This skill generates hierarchical AGENTS.md structures optimized for AI coding agents with lightweight roots and detailed sub-folder guidance.
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.