Bring Okr Tracking
to Vercel AI SDK
Learn how to connect Kippy to Vercel AI SDK and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kippy MCP Server?
Connect your Kippy account to any AI agent and manage performance tracking through natural conversation.
What you can do
- OKR Tracking — Browse objectives and key results with progress percentages
- Goal Management — Create, update, and track individual and team goals
- Performance Reviews — Access review cycles, feedback, and ratings
- Team Monitoring — Track team performance metrics and alignment
- Progress Reports — Generate performance summaries and trend analysis
How it works
- Subscribe to this server
- Enter your Kippy API Key, Organisation ID, and Username
- Start managing performance from Claude, Cursor, or any MCP-compatible client
Who is this for?
- HR Teams — manage review cycles and performance data
- Managers — track team OKRs and individual goals
- Employees — review personal progress and feedback
Built-in capabilities (13)
List annual performance metrics
List performance reviews and appraisals
List system audit logs
List skills and competency tracking
List feedback entries
List KPIs with their current scores
List all KPIs for the organization
List comments and annotations
List projects with their current scores
List organizational projects
List team performance scores
List teams in the organization
List users in Kippy
Why Vercel AI SDK?
The Vercel AI SDK gives every Kippy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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 Kippy integration everywhere
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Built-in streaming UI primitives let you display Kippy 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
Kippy in Vercel AI SDK
Kippy and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kippy 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 | 4,000+ 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 Kippy in Vercel AI SDK
The Kippy 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 13 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
Kippy for Vercel AI SDK
Every tool call from Vercel AI SDK to the Kippy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track OKRs and goal progress?
Yes. Browse all objectives with key results and progress percentages. Create new goals, update progress, and track alignment across teams.
Does Kippy require multiple credentials?
Yes. Kippy requires three credentials: API Key, Organisation ID, and Username. All are used for authentication against kippy-tsc.appspot.com/api.
Can I access performance reviews and feedback?
Yes. Browse review cycles, access individual feedback and ratings, and monitor completion status across the organization.
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
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