GetStream MCP Server for AutoGenGive AutoGen instant access to 23 tools to Add Activity To Feed, Add To Collection, Batch Delete Collections, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GetStream as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The GetStream MCP Server for AutoGen is a standout in the Productivity category — giving your AI agent 23 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="getstream_agent",
tools=tools,
system_message=(
"You help users with GetStream. "
"23 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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
About GetStream MCP Server
Connect GetStream to your AI agent to orchestrate complex social architectures and activity feeds using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GetStream tools. Connect 23 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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.
The GetStream MCP Server exposes 23 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 23 GetStream tools available for AutoGen
When AutoGen connects to GetStream through Vinkius, your AI agent gets direct access to every tool listed below — spanning activity-feeds, chat-api, social-infrastructure, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add activity to feed on GetStream
Add an activity to a feed
Add to collection on GetStream
Add objects to a collection
Batch delete collections on GetStream
Batch delete collections
Batch follow on GetStream
Batch follow multiple feeds
Batch get collections on GetStream
Batch retrieve collections
Batch post collections on GetStream
Batch create/update collections
Delete collection object on GetStream
Delete an individual collection object
Delete file on GetStream
Delete a file by URL
Follow feed on GetStream
Follow a target feed
Get activities on GetStream
Retrieve specific activities by ID or foreign ID
Get collection object on GetStream
Retrieve an individual collection object
Get feed on GetStream
Supports pagination. Retrieve activities in a feed
Get open graph on GetStream
Scrape Open Graph data from a URL
List feed followers on GetStream
List feeds following this feed
List feed follows on GetStream
List feeds this feed follows
Partial update activity on GetStream
Partially update activity data
Process image on GetStream
Process or resize an image
Remove activity from feed on GetStream
Remove an activity from a feed
Unfollow feed on GetStream
Unfollow a target feed
Update activities on GetStream
Update activity metadata
Update collection object on GetStream
Update an individual collection object
Upload file on GetStream
Upload a file
Upload image on GetStream
Upload an image
Connect GetStream to AutoGen via MCP
Follow these steps to wire GetStream into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the GetStream MCP Server
AutoGen provides unique advantages when paired with GetStream through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GetStream tools to solve complex tasks
Role-based architecture lets you assign GetStream tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive GetStream tool calls
Code execution sandbox: AutoGen agents can write and run code that processes GetStream tool responses in an isolated environment
GetStream + AutoGen Use Cases
Practical scenarios where AutoGen combined with the GetStream MCP Server delivers measurable value.
Collaborative analysis: one agent queries GetStream while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from GetStream, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using GetStream data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process GetStream responses in a sandboxed execution environment
Example Prompts for GetStream in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with GetStream immediately.
"Show me the latest activities in the 'user' feed for user ID 'user_123'."
"Make the feed 'timeline:alice' follow 'user:bob'."
"Update activity ID 'act_999' to set the 'is_featured' field to true."
Troubleshooting GetStream MCP Server with AutoGen
Common issues when connecting GetStream to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"GetStream + AutoGen FAQ
Common questions about integrating GetStream MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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