The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat…
Milvus source profile. From the maintainer documentation: “The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.”
The maintainer’s configuration uses http://your_sse_host:port/sse. It declares sse transport. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| milvus_text_search | Search for documents using full text search |
| Parameters: | collection_name: Name of collection |
| query_text | Text query for search |
| limit | The maximum number of results to return (default: 10) |
| output_fields | Fields to include in results |
| drop_ratio | Proportion of low-frequency terms to ignore (0.0-1.0) |
| milvus_vector_search | Perform vector similarity search on a collection |
| vector | Vector of the text query |
| vector_field | Field name for vector search |
| filter_expr | Filter expression to select entities to delete |
| metric_type | Distance metric (COSINE, L2, IP) (default: "COSINE") |
| milvus_hybrid_search | Perform hybrid search on a collection |
| text_field | Field name for text search |
| milvus_query | Query collection using filter expressions |
| milvus_list_collections | List all collections in the database |
| milvus_create_collection | Create a new collection with specified schema |
| collection_schema | Collection schema definition |
| index_params | Optional index parameters |
| milvus_load_collection | Load a collection into memory for search and query |
| replica_number | Number of replicas (default: 1) |
| milvus_release_collection | Release a collection from memory |
| milvus_get_collection_info | Lists detailed information like schema, properties, collection ID, and other metadata of a specific collection. |
| milvus_insert_data | Insert data into a collection |
| data | Dictionary mapping field names to lists of values |
| milvus_delete_entities | Delete entities from a collection based on filter expression |
{
"mcpServers": {
"milvus-sse": {
"url": "http://your_sse_host:port/sse",
"disabled": false,
"autoApprove": []
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.