mirror of
https://github.com/punkpeye/awesome-mcp-servers.git
synced 2026-02-23 20:05:15 +00:00
Merge pull request #775 from yincongcyincong/victoriametrics
add VictoriaMetrics mcp server
This commit is contained in:
@@ -251,6 +251,7 @@ Web 内容访问和自动化功能。支持以 AI 友好格式搜索、抓取和
|
||||
- [idoru/influxdb-mcp-server](https://github.com/idoru/influxdb-mcp-server) 📇 ☁️ 🏠 - 针对 InfluxDB OSS API v2 运行查询
|
||||
- [xing5/mcp-google-sheets](https://github.com/xing5/mcp-google-sheets) 🐍 ☁️ - 一个用于与 Google Sheets 交互的模型上下文协议服务器。该服务器通过 Google Sheets API 提供创建、读取、更新和管理电子表格的工具。
|
||||
- [qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) 🐍 🏠 - 一个Qdrant MCP服务器
|
||||
- [yincongcyincong/VictoriaMetrics-mcp-server](https://github.com/yincongcyincong/VictoriaMetrics-mcp-server) 🐍 🏠 - VictoriaMetrics 数据库 MCP 服务器.
|
||||
|
||||
### 📊 <a name="data-platforms"></a>数据平台
|
||||
|
||||
|
||||
@@ -339,8 +339,10 @@ Secure database access with schema inspection capabilities. Enables querying and
|
||||
- [Zhwt/go-mcp-mysql](https://github.com/Zhwt/go-mcp-mysql) 🏎️ 🏠 – Easy to use, zero dependency MySQL MCP server built with Golang with configurable readonly mode and schema inspection.
|
||||
- [zilliztech/mcp-server-milvus](https://github.com/zilliztech/mcp-server-milvus) 🐍 🏠 ☁️ - MCP Server for Milvus / Zilliz, making it possible to interact with your database.
|
||||
- [openlink/mcp-server-jdbc](https://github.com/OpenLinkSoftware/mcp-jdbc-server) 🐍 🏠 - An MCP server for generic Database Management System (DBMS) Connectivity via the Java Database Connectivity (JDBC) protocol
|
||||
- [yincongcyincong/VictoriaMetrics-mcp-server](https://github.com/yincongcyincong/VictoriaMetrics-mcp-server) 🐍 🏠 - An MCP server for interacting with VictoriaMetrics database.
|
||||
- [hydrolix/mcp-hydrolix](https://github.com/hydrolix/mcp-hydrolix) 🎖️ 🐍 ☁️ - Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
|
||||
|
||||
|
||||
### 📊 <a name="data-platforms"></a>Data Platforms
|
||||
|
||||
Data Platforms for data integration, transformation and pipeline orchestration.
|
||||
|
||||
Reference in New Issue
Block a user