Bring Feature Flags
to Vercel AI SDK
Learn how to connect Flagsmith to Vercel AI SDK and start using 8 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 Flagsmith MCP Server?
Connect your Flagsmith account to any AI agent to control feature releases and remote configurations through natural conversation.
What you can do
- Flag Management — Retrieve default flag states and remote configuration values for any environment instantly.
- Identity Control — Fetch specific flags and traits for user identities or identify new users with custom traits to test personalized experiences.
- Environment Admin — Create new environments within projects and fetch full configuration documents for local evaluation modes.
- Dynamic Updates — Update flag values (single or batch) and manage segment overrides using the Admin API for rapid iteration.
- Local Evaluation — Access the entire environment configuration document for high-performance SDK integrations.
How it works
- Subscribe to this server
- Enter your Flagsmith Environment Key or Admin API Key
- Start managing your feature lifecycle from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — check flag states and user traits directly from the code editor to debug feature logic without switching contexts.
- Product Managers — toggle features, manage rollouts, and update remote configs without touching the dashboard.
- DevOps & SREs — automate environment creation and manage segment overrides through simple natural language commands.
Built-in capabilities (8)
Requires FLAGSMITH_API_KEY. Create a new environment within a project
Requires FLAGSMITH_API_KEY. Delete a segment override
Requires FLAGSMITH_ENVIRONMENT_KEY. Get the entire environment configuration document
Requires FLAGSMITH_ENVIRONMENT_KEY. Get all default flag states for an environment
Requires FLAGSMITH_ENVIRONMENT_KEY. Get flags and traits for a specific user identity
Requires FLAGSMITH_ENVIRONMENT_KEY. Identify user and set traits
Requires FLAGSMITH_API_KEY. Update a flag value (Single change)
Requires FLAGSMITH_API_KEY. Update flags (Batch change)
Why Vercel AI SDK?
The Vercel AI SDK gives every Flagsmith tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Flagsmith integration everywhere
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Built-in streaming UI primitives let you display Flagsmith 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
Flagsmith in Vercel AI SDK
Flagsmith and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Flagsmith 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 Flagsmith in Vercel AI SDK
The Flagsmith 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 8 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
Flagsmith for Vercel AI SDK
Every tool call from Vercel AI SDK to the Flagsmith MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I retrieve flags for a specific user identity?
Yes. Use the get_identity_flags tool by providing the user's identifier. The agent will return all flags and traits associated with that specific identity in the environment.
How do I update multiple feature flags at once?
You can use the update_flag_v2 tool for batch changes. Provide the environment key and a JSON payload containing the updates you wish to apply simultaneously.
Is it possible to create a new environment via the agent?
Yes, using the create_environment tool. You will need to provide a name for the environment and the target Project ID. This requires a valid Flagsmith Admin API Key.
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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