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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
197page
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
vectorclaw-mcp skill by openclaw/skills
This skill helps you control an Anki Vector via MCP to speak, move, capture images, and read sensors, enabling automated workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vehicle-routing-solver skill by a5c-ai/babysitter
This skill solves vehicle routing problems with time windows, capacities, and multiple depots to optimize routes and delivery performance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
velt-crdt-best-practices skill by velt-js/agent-skills
This skill helps implement real-time collaboration with Velt CRDT by guiding setup, integration, and debugging across editors and stores.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Vercel
The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications with React, Next.js, Vue, Svelte, Node.js, and more.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-ai skill by bobmatnyc/claude-mpm-skills
This skill guides building AI-powered apps on Vercel by configuring AI SDK, Gateway, and Agent workflows, with secure key management and monitoring.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-ai-elements skill by sstobo/convex-skills
This skill provides complete documentation for Vercel AI Elements, enabling quick component usage, integration with AI SDK, and pattern guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-ai-sdk skill by mgd34msu/goodvibes-plugin
Builds AI-powered applications with Vercel AI SDK including streaming responses, chat interfaces, and model integration. Use when integrating LLMs, building chat applications, streaming AI responses, or implementing AI features in React.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-ai-sdk skill by picahq/skills
This skill helps you integrate PICA MCP with your app, enabling dynamic tool calls and AI agent connectivity via stdio transport.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-ai-sdk skill by toilahuongg/shopify-agents-kit
This skill helps you integrate Vercel AI SDK into Remix apps to build AI chatbots and agents with streaming and context injection.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-blob skill by jezweb/claude-skills
This skill guides secure client uploads with presigned tokens, validates file types and sizes, and prevents common Vercel Blob integration errors.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
vercel-composition-patterns
React composition patterns that scale. Use when refactoring components with
MCPHTTPCLISDK
- 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.