OpenSearch Vector MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add OpenSearch Vector 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
Vinkius supports streamable HTTP and SSE.
import 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="opensearch_vector_agent",
tools=tools,
system_message=(
"You help users with OpenSearch Vector. "
"6 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 OpenSearch Vector MCP Server
Turn your OpenSearch cluster into an AI-native vector database. Create k-NN indexes, upsert embeddings, run similarity searches, and inspect index configurations — all through natural conversation with your AI agent.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenSearch Vector tools. Connect 6 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
- Vector Search — Execute k-Nearest Neighbors queries against any k-NN index with custom top-K limits and dense float vectors
- Index Management — List all cluster indexes with health status and document counts, or inspect a specific index's vector dimension, engine config, and distance metric
- Create Index — Provision new k-NN indexes optimized for cosine similarity with configurable vector dimensions (384, 768, 1536, etc.)
- Document Operations — Upsert vector documents with metadata, or delete documents from the embedding space by ID
The OpenSearch Vector MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OpenSearch Vector to AutoGen via MCP
Follow these steps to integrate the OpenSearch Vector MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from OpenSearch Vector automatically
Why Use AutoGen with the OpenSearch Vector MCP Server
AutoGen provides unique advantages when paired with OpenSearch Vector through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use OpenSearch Vector tools to solve complex tasks
Role-based architecture lets you assign OpenSearch Vector 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 OpenSearch Vector tool calls
Code execution sandbox: AutoGen agents can write and run code that processes OpenSearch Vector tool responses in an isolated environment
OpenSearch Vector + AutoGen Use Cases
Practical scenarios where AutoGen combined with the OpenSearch Vector MCP Server delivers measurable value.
Collaborative analysis: one agent queries OpenSearch Vector while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from OpenSearch Vector, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using OpenSearch Vector data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process OpenSearch Vector responses in a sandboxed execution environment
OpenSearch Vector MCP Tools for AutoGen (6)
These 6 tools become available when you connect OpenSearch Vector to AutoGen via MCP:
create_index
knn: true` and mapping a rigid dynamic dense vector field optimized for cosine similarity. Create a new native OpenSearch KNN index ready for vector embeddings
delete_document
Delete an explicit vector document bounding from OpenSearch
get_index
Retrieve explicit OpenSearch index mapping and settings
index_document
This executes a fast transactional atomic insertion into the embedding space. Upsert a singular vector document directly into an OpenSearch KNN index
list_indexes
List all explicit indexes residing on the OpenSearch cluster
search
Provide the exact index name and a JSON-stringified dense float vector array to find conceptually similar embeddings natively. Execute a K-Nearest Neighbors (k-NN) vector search against OpenSearch
Example Prompts for OpenSearch Vector in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with OpenSearch Vector immediately.
"List all vector indexes in my OpenSearch cluster."
"Find the 5 most similar documents to this embedding in the knowledge-base index."
"Create a new k-NN index called 'customer-feedback' with 1536 dimensions."
Troubleshooting OpenSearch Vector MCP Server with AutoGen
Common issues when connecting OpenSearch Vector to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"OpenSearch Vector + AutoGen FAQ
Common questions about integrating OpenSearch Vector 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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Microsoft's framework for multi-agent collaborative conversations.
Connect OpenSearch Vector to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.