Bring Llm Observability
to Vercel AI SDK
Learn how to connect Keywords AI to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Keywords AI MCP Server?
Connect your Keywords AI account to any AI agent and monitor LLM performance.
What you can do
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
Built-in capabilities (11)
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Why Vercel AI SDK?
The Vercel AI SDK gives every Keywords AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Keywords AI integration everywhere
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Built-in streaming UI primitives let you display Keywords AI tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Keywords AI in Vercel AI SDK
Keywords AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Keywords AI to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Keywords AI in Vercel AI SDK
The Keywords AI MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Keywords AI for Vercel AI SDK
Every tool call from Vercel AI SDK to the Keywords AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI track LLM costs?
Yes. get_credits shows your balance, get_usage_stats breaks down costs by model and time period.
Can I filter request logs by model?
Yes. list_requests_by_model returns only requests made to a specific LLM.
What analytics are available?
get_analytics provides cost trends, latency percentiles, error rates, and token usage over time.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
