Bring Employee Advocacy
to Vercel AI SDK
Learn how to connect GaggleAMP to Vercel AI SDK and start using 12 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 GaggleAMP MCP Server?
Connect your GaggleAMP manager account to any AI agent and take full control of your employee advocacy and B2B social marketing workflows through natural conversation.
What you can do
- Activity Orchestration — List and manage social sharing tasks (LinkedIn, Twitter) and retrieve detailed engagement metrics programmatically
- Advocate CRM — Manage your complete directory of members and retrieve detailed profiles, including point balances and impact scores
- Gamification Control — Access global and Gaggle-specific leaderboards to identify top performers and monitor your program's social footprint
- Reward Automation — List redeemable items and process reward claims for members using their earned points directly through your agent
- Team Onboarding — Programmatically invite new advocates to your Gaggle and manage team structures to scale your social reach
How it works
- Subscribe to this server
- Retrieve your API Token from your GaggleAMP Manager Dashboard (Settings > Integrations)
- Start managing your employee advocacy program from Claude, Cursor, or any MCP client
No more manual status checking or complex activity creation through slow web dashboards. Your AI acts as your dedicated advocacy program manager.
Who is this for?
- Marketing Managers — instantly launch new sharing activities and track campaign reach using natural language
- Social Media Leads — monitor top advocate performance and identify content that resonates best with the team
- HR & Culture Teams — manage employee recognition and reward redemptions without leaving your workspace
Built-in capabilities (12)
Add new task for members
Get user profile
Get stats for activity
Check point balance
Get rankings
Invite to Gaggle
List available activities
List accessible Gaggles
List redeemable items
List all advocates
Get claimed rewards
Process reward claim
Why Vercel AI SDK?
The Vercel AI SDK gives every GaggleAMP tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GaggleAMP integration everywhere
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Built-in streaming UI primitives let you display GaggleAMP 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
GaggleAMP in Vercel AI SDK
GaggleAMP and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GaggleAMP 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 GaggleAMP in Vercel AI SDK
The GaggleAMP 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 12 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
GaggleAMP for Vercel AI SDK
Every tool call from Vercel AI SDK to the GaggleAMP MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get an API token in GaggleAMP?
Log in to your Manager Dashboard, navigate to Settings > Integrations, and copy the API Token provided under the API Access section.
Can I check a member's point balance via AI?
Yes! Use the get_member_points tool with the specific member ID to retrieve their current points and overall program impact.
Does the integration support inviting new users?
Absolutely. The invite_new_advocate tool allows you to send email invitations to join your program by providing a name and email address.
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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