Compatible with every major AI agent and IDE
What is the Statuspage (Atlassian) MCP Server?
Connect your Statuspage (Atlassian) account to any AI agent to monitor and manage your incident communication infrastructure through natural conversation.
What you can do
- Page Management — List all status pages and fetch detailed configurations for specific IDs using
list_pagesandget_page. - Configuration Updates — Update page names, domains, and branding settings instantly with the
update_pagetool. - User Permissions — Query and update user roles and permissions within your organization using
get_user_permissionsandupdate_user_permissions. - Embed Widgets — Manage status embed configurations to control how status is displayed on your site via
get_status_embed_config. - Access Control — Manage audience-specific users for private status pages, including creation and updates with
list_page_access_usersandcreate_page_access_user.
How it works
- Subscribe to this server
- Enter your Statuspage API Key
- Start managing your status infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps & SREs — quickly check and update status page configurations during incident response without leaving the terminal.
- Support Teams — manage private page access for specific customers directly through the AI assistant.
- Product Owners — ensure branding and domains are correctly configured across all status environments.
Built-in capabilities (16)
Add a page access user
Delete page access user
Remove components for page access user
Delete metrics for page access user
Get a specific page
Get components for page access user
Get status embed config settings
Get a user's permissions
Get a list of page access users
Get a list of pages
). Update a page
Update page access user
Add/Replace components for page access user
Add/Replace metrics for page access user
Update status embed config settings
g., page_configuration, incident_manager, maintenance_manager). Update a user's role permissions
Why Vercel AI SDK?
The Vercel AI SDK gives every Statuspage (Atlassian) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 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 Statuspage (Atlassian) integration everywhere
- —
Built-in streaming UI primitives let you display Statuspage (Atlassian) tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Statuspage (Atlassian) in Vercel AI SDK
Statuspage (Atlassian) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Statuspage (Atlassian) 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 Statuspage (Atlassian) in Vercel AI SDK
The Statuspage (Atlassian) 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 16 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
Statuspage (Atlassian) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Statuspage (Atlassian) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see all the status pages I have access to?
You can use the list_pages tool. It will return a list of all pages associated with your API key, including their IDs and basic settings.
Can I update the name or domain of a status page using the AI?
Yes! Use the update_page tool. You just need to provide the page_id and the new name, domain, or subdomain you wish to set.
How do I manage users who have access to my private status pages?
You can use list_page_access_users to see current users and create_page_access_user to add new ones to a specific page.
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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