GetStream MCP Server for LangChainGive LangChain instant access to 23 tools to Add Activity To Feed, Add To Collection, Batch Delete Collections, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect GetStream through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The GetStream MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"getstream": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using GetStream, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with GetStream through native MCP adapters. Connect 23 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire GetStream into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the GetStream MCP Server
LangChain provides unique advantages when paired with GetStream through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine GetStream MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across GetStream queries for multi-turn workflows
GetStream + LangChain Use Cases
Practical scenarios where LangChain combined with the GetStream MCP Server delivers measurable value.
RAG with live data: combine GetStream tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query GetStream, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain GetStream tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every GetStream tool call, measure latency, and optimize your agent's performance
Example Prompts for GetStream in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting GetStream to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGetStream + LangChain FAQ
Common questions about integrating GetStream MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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