Bring Activity Feeds
to Mastra AI
Learn how to connect GetStream to Mastra AI and start using 23 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 GetStream MCP Server?
Connect GetStream to your AI agent to orchestrate complex social architectures and activity feeds using natural language.
What you can do
- Feed Management — Retrieve, add, or remove activities from specific feed slugs and user timelines using
get_feedandadd_activity_to_feed. - Activity Orchestration — Update activity metadata or perform partial updates to specific fields via
partial_update_activitywithout rewriting entire objects. - Social Graph — Manage follower relationships, list who follows a feed, and perform follow operations using
follow_feedandlist_feed_followers. - Collections & Files — Handle collection objects and manage file/image uploads for rich media experiences.
- Open Graph — Retrieve Open Graph data for URLs to enrich activity content automatically.
How it works
- Subscribe to this server
- Enter your Stream API Key and JWT Token
- Start managing your social infrastructure from any MCP-compatible client
Who is this for?
- Product Managers — monitor feed health and activity patterns without technical dashboards.
- Developers — test feed logic and activity updates directly from the IDE to speed up social feature integration.
- Community Managers — manage social graphs and moderate feed content through natural conversation.
Built-in capabilities (23)
Add an activity to a feed
Add objects to a collection
Batch delete collections
Batch follow multiple feeds
Batch retrieve collections
Batch create/update collections
Delete an individual collection object
Delete a file by URL
Follow a target feed
Retrieve specific activities by ID or foreign ID
Retrieve an individual collection object
Supports pagination. Retrieve activities in a feed
Scrape Open Graph data from a URL
List feeds following this feed
List feeds this feed follows
Partially update activity data
Process or resize an image
Remove an activity from a feed
Unfollow a target feed
Update activity metadata
Update an individual collection object
Upload a file
Upload an image
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and GetStream tool infrastructure. Connect 23 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GetStream without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every GetStream tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
GetStream in Mastra AI
GetStream and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GetStream to Mastra AI 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 GetStream in Mastra AI
The GetStream 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 23 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
GetStream for Mastra AI
Every tool call from Mastra AI to the GetStream 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 specific activities using their unique identifiers?
Yes. Use the get_activities tool by providing a comma-separated list of activity IDs or foreign IDs to fetch their full metadata.
How do I check which feeds a specific user is currently following?
You can use the list_feed_follows tool. Provide the feed slug and user ID to get a comprehensive list of all target feeds being followed.
Is it possible to update only a single field in an activity without sending the whole object?
Absolutely. The partial_update_activity tool allows you to set or unset specific fields on an activity using a JSON payload, preserving the rest of the data.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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