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Milvus MCP Integration for LangChain
Connect Milvus to LangChain through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Milvus to LangChain
Bridge LangChain agents to local KosmoKrator integration tools through MCP or headless CLI calls.
Use the MCP gateway when the agent should discover tools, or wrap kosmo integrations:call for fixed chains. The gateway is local, scoped to this integration, and starts with
--write=deny so LangChain can inspect read-capable tools without receiving write access by default.
Milvus MCP Config for LangChain
Keep the gateway scoped to the integration and operation class needed by the chain.
{
"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 LangChain
LangChain 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. |