Bring Activity Monitoring
to Vercel AI SDK
Learn how to connect AntEater to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the AntEater MCP Server?
Connect your AntEater (by AntEater Analytics) account to any AI agent and take full control of your team activity analysis and automated productivity monitoring through natural conversation.
What you can do
- Activity Portfolio Orchestration — List and manage all captured team activities (emails, Slack, Jira) programmatically, retrieving detailed behavioral metadata
- Search & Discovery Intelligence — Programmatically search and retrieve high-fidelity insights from your organization's communication channels to maintain a perfectly coordinated knowledge base
- Productivity Architecture Monitoring — Access real-time status updates for team workstreams and track time-tracking results directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity collaboration signals and interaction history to maintain a perfectly coordinated audit trail
- Operational Monitoring — Verify account-level API connectivity and monitor activity ingestion volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your AntEater Analytics dashboard (Settings > API)
3. Start orchestrating your team knowledge from Claude, Cursor, or any MCP client
No more manual searching for 'who is doing what' or missing critical team progress signals. Your AI acts as your dedicated operations coordinator and activity architect.
Who is this for?
- Operations Managers — instantly retrieve team activity summaries and monitor productivity using natural language commands
- Product Leads — verify individual task metadata and track project participation without leaving your workspace
- Developers — integrate high-speed AntEater analysis data into custom internal dashboards through simple AI queries
Built-in capabilities (10)
Verify AntEater API connectivity
Get communication history for a contact
Get your authenticated user profile
Get details of a specific team member
Get activity for a specific team member
List all shared contacts
List recent team activity
List all team members
Search team activity across Slack and email
Search contacts by name or company
Why Vercel AI SDK?
The Vercel AI SDK gives every AntEater tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 AntEater integration everywhere
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Built-in streaming UI primitives let you display AntEater 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
AntEater in Vercel AI SDK
AntEater and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AntEater 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 AntEater in Vercel AI SDK
The AntEater 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 10 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
AntEater for Vercel AI SDK
Every tool call from Vercel AI SDK to the AntEater 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 find my AntEater API Key?
Log in to your AntEater Analytics dashboard, navigate to Settings > API, and copy your unique Access Token.
Can I search Slack messages via AI?
Yes! The search_activity tool allows your agent to perform keyword searches across your integrated Slack and email channels.
How do I list my active team members?
Use the list_users tool to retrieve your complete team directory along with the unique identifiers for all managed staff.
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