Milvus

Name: Milvus
Author: danchev

@danchev

Milvus について

A Model Context Protocol (MCP) server for agentic retrieval and semantic search over unstructured and structured data using Milvus, a high-performance vector database. This server enables large language model (LLM) applications to efficiently index, store, and retrieve vector emb

#milvus #document-search #vector-database #text-search #vector-search #similarity-search #embeddings #ai-search #machine-learning #high-dimensional-search #data-retrieval

基本情報

カテゴリ

データベース

トランスポート

stdio

公開者

danchev

投稿者

Dobri Danchev

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "milvus": {
      "command": "uvx",
      "args": [
        "mcp-server-milvus@latest"
      ],
      "env": {
        "MILVUS_URI": "http://localhost:19530",
        "MILVUS_TOKEN": "",
        "MILVUS_DB": "default"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Milvus?

Milvus is a Model Context Protocol (MCP) server that enables agentic retrieval and semantic search across structured and unstructured data. It is built on top of Milvus, a high-performance vector database optimized for similarity search at scale.

How to use Milvus?

Milvus provides a set of tools accessible through the MCP interface. Users invoke tools by name with their parameters, such as milvus_text_search for full-text search or milvus_vector_search for vector similarity search. No installation or configuration instructions are provided in the README.

Key features of Milvus

Full-text search on collections via milvus_text_search
Vector similarity search with distance metrics (COSINE, L2, IP)
Filter-based querying using expressions like milvus_query
Collection management: list, create, load, release, and inspect
Data insert and delete operations on collections

Use cases of Milvus

Searching documents using full-text queries across a Milvus collection
Finding similar items with vector similarity search (e.g., semantic search)
Filtering and retrieving entities based on structured conditions
Managing collection schemas and loading/unloading for performance

FAQ from Milvus

What tools does Milvus provide?

Milvus provides tools for search and query operations (milvus_text_search, milvus_vector_search, milvus_query), collection management (milvus_list_collections, milvus_create_collection, milvus_load_collection, milvus_release_collection, milvus_get_collection_info), and data operations (milvus_insert_data, milvus_delete_entities).

What are the parameters for `milvus_vector_search`?

milvus_vector_search accepts collection_name, vector (the query vector), vector_field (default: "vector"), limit (default: 5), output_fields, and metric_type (default: "COSINE").

How do I delete entities from a collection?

Use the milvus_delete_entities tool with collection_name and a filter_expr (e.g., 'age > 20') to select which entities to delete.

What is the default result limit for text search?

The default limit for milvus_text_search is 5 results.

Does the server require a running Milvus instance?

The README does not specify runtime dependencies or whether an external Milvus instance must be running; it only states the server is built on top of Milvus.