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Milvus MCP Integration for OpenAI Agents SDK
Connect Milvus to OpenAI Agents SDK through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Milvus to OpenAI Agents SDK
Attach KosmoKrator integration tools to OpenAI Agents SDK workflows through a local MCP gateway.
Start the KosmoKrator MCP gateway locally and point the OpenAI Agents SDK MCP tool at that process or wrapper. The gateway is local, scoped to this integration, and starts with
--write=deny so OpenAI Agents can inspect read-capable tools without receiving write access by default.
Milvus MCP Config for OpenAI Agents SDK
Use headless JSON commands for CI-style execution and MCP for agent tool discovery.
{
"mcpServers": {
"kosmokrator-milvus": {
"type": "stdio",
"command": "kosmo",
"args": [
"mcp:serve",
"--integration=milvus",
"--write=deny"
]
}
}
} Run the Gateway Manually
kosmokrator mcp:serve --integration=milvus --write=deny Why Use KosmoKrator Here
Expose only Milvus instead of a broad multi-service tool list.
Reuse credentials already configured for the KosmoKrator CLI and Lua runtime.
Start read-only, then opt into ask or allow for trusted workspaces.
Milvus Tools Visible to OpenAI Agents
OpenAI Agents sees stable MCP tool names generated from the Milvus integration catalog.
| MCP tool | Source function | Type | Description |
|---|---|---|---|
integration__milvus__milvus_list_collections | milvus.milvus_list_collections | Read | List all vector collections in Milvus. Returns collection names and details that can be used for further operations. |
integration__milvus__milvus_get_collection | milvus.milvus_get_collection | Read | Get details of a specific Milvus collection by its name, including schema and description. |
integration__milvus__milvus_create_collection | milvus.milvus_create_collection | Write | Create a new vector collection in Milvus. A collection requires a name and the embedding dimension size. |
integration__milvus__milvus_insert_documents | milvus.milvus_insert_documents | Write | Insert documents with embedding vectors into a Milvus collection. Each document requires a vector and an optional ID. |
integration__milvus__milvus_search_documents | milvus.milvus_search_documents | Read | Search for similar documents in a Milvus collection using a query vector. Returns the most similar documents ranked by distance or similarity. |
integration__milvus__milvus_get_collection_stats | milvus.milvus_get_collection_stats | Read | Get statistics for a Milvus collection, including row count and index information. |
integration__milvus__milvus_get_health | milvus.milvus_get_health | Read | Check the health status of the Milvus vector database server. Returns health and version information. |