The recommended way to use this MCP server is through FastMCP, which provides better performance and easier configuration.
Mcp pymilvus code generate helper mcp server lets Claude, Cursor and other MCP clients work with MCP Pymilvus Code Generate Helper directly. The recommended way to use this MCP server is through FastMCP, which provides better performance and easier configuration.
The recommended way to use this MCP server is through FastMCP, which provides better performance and easier configuration.
Once connected, the assistant can call these 2 tools directly:
macOS — ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows — %APPDATA%\Claude\claude_desktop_config.jsonSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply 3 environment variables: OPENAI_API_KEY, YOUR_OPENAI_API_KEY, MILVUS_TOKEN. Keep credentials in your client's env block or a secrets manager rather than committing them.
Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server)
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. MCP Pymilvus Code Generate Helper sits in that group, and the shape of its toolset — macOS, Windows — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
#### For SSE Transport
```json
{
"mcpServers": {
"milvus-sdk-code-helper": {
"url": "http://localhost:8000"
}
}
}Configuration as documented by the project. Restart the client after saving.
Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server)
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| MILVUS_TOKEN | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.