# Volcengine Mcp Server

> Volcengine MCP Servers

- **Type:** MCP server
- **Install:** `agentstack add mcp-volcengine-mcp-server`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [volcengine](https://agentstack.voostack.com/s/volcengine)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [volcengine](https://github.com/volcengine)
- **Source:** https://github.com/volcengine/mcp-server
- **Website:** https://www.volcengine.com/mcp-marketplace

## Install

```sh
agentstack add mcp-volcengine-mcp-server
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Model Context Protocol Marketplace

火山引擎大模型生态广场的 MCP Server 共享仓库，支持用户探索与体验大模型丰富生态服务，轻松集成全面且易用的工具，同时享受企业级稳定、高效、安全的技术支持，充分释放模型潜力，赋能创新应用开发。

[火山引擎大模型生态广场](https://www.volcengine.com/mcp-marketplace) 目前已上线 100+ MCP Server，集成丰富的火山引擎官方云服务及优质三方生态工具。同时支持用户结合火山方舟大模型服务，快速跳转至火山方舟或其他支持 MCP 协议的平台（如 Trae、Cursor、Python 等），助力企业开发者精准打造符合自身业务场景的 AI 大模型应用，打通大模型应用落地的 “最后一公里”。

## 产品优势

- **丰富的资源集成：** 整合了丰富的云上资源及优质的三方服务，提供火山引擎官方云服务 MCP Server，如数据库、存储等，同时集成了各类三方生态工具，从而为客户提供更多生产可用且高价值的各类工具及资源。
- **灵活的部署模式：** 提供 Local 及 Remote 的MCP服务部署模式，灵活适配企业客户的多样化应用场景。
- **端到端应用的生态打通：** 依托字节系生态资源，轻松构建端到端的 AI 应用。用户可在生态广场选择所需的 MCP服务，结合[火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&projectName=default&type=new)提供的大模型服务，跳转至火山方舟或支持 MCP 协议的Trae等平台快速开发构建应用。

## 使用指引

1. **查看 MCP Server 详情**

	在火山引擎[大模型生态广场](https://www.volcengine.com/mcp-marketplace)，选择合适的 MCP Server，并查看详情。

2. **选择 MCP Server 即将运行的平台**

	检查当前 MCP Server 已适配的平台，并选择合适的平台。

3. **查看并对比可用的 Tools**

	仔细查看可用的 Tools 的功能描述与所需的输入参数，并尝试试运行对应的功能。

4. **获取专属的URL或代码示例**

	检查账号登录状态与服务开通情况，生成唯一 URL 或代码示例。

5. **前往MCP Client 中进行安装与使用**

	复制 URL 或 JSON，前往支持的MCP Client中进行安装与使用 MCP Server。

## MCP Client 支持列表

- **火山方舟**：目前 MCP 服务已支持体验中心与高代码应用
- **Trae**
- **Cursor**
- **Python**

## MCP Server 列表

MCP Server列表 与 **[火山引擎大模型生态广场](https://www.volcengine.com/mcp-marketplace)** 同步。

### **计算**  

- **[ECS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ecs)**：自然语言驱动对云服务器实例和镜像进行资源管理。  
- **[云助手 MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_assistant)**：自然语言驱动向云服务器实例发送和执行自定义命令。  

### **存储**  

- **[TOS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tos)**：基于 MCP 管理 TOS 资源，智能化探索数据。  
- **[TLS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tls)**：自然语言驱动日志分析新体验。  
- **[EBS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ebs)**：提供火山引擎EBS(弹性块存储)服务的MCP接口，支持查询云盘和快照信息，帮助开发者快速集成EBS存储管理能力到AI应用中。  

### **数据库**  

- **[RDS MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_rds_mysql)**：云数据库 MySQL 版是即开即用、稳定可靠、灵活弹性、易于使用的关系型数据库服务。  
- **[veDB MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vedb_mysql)**：云数据库 veDB MySQL 版采用计算存储分离架构，100%兼容MySQL，最多支持 200TiB 的超大容量结构化数据存储，单个数据库集群最多可扩展至 16 个计算节点。  
- **[Redis MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**：自然语言驱动管理火山引擎缓存数据库 Redis 实例。
- **[MongoDB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**：自然语言驱动向火山引擎文档数据库 MongoDB 版实例发送和执行自定义命令。
- **[CloudSearch MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudsearch)**：云搜索服务（Cloud Search）是火山引擎提供的全托管一站式信息检索和分析平台。  

### **容器与中间件**  

- **[veFaaS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_function)**：veFaaS MCP Server 助你轻松管理函数和触发器生命周期。  
- **[VMP MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vmp)**：自然语言驱动查询分析 Prometheus 指标数据。  
- **[APMPlus MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_apmplus)**：自然语言驱动查询应用服务的链路追踪日志和运行时指标。  
- **[VKE MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vke)**：自然语言驱动管理火山引擎容器服务 VKE 实例。  

### **CDN与边缘**  

- **[CDN MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cdn)**：火山引擎 CDN 智能分析助手。  
- **[边缘计算节点 MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veen)**：申请、配置、查阅在边缘计算节点，包括虚拟机、镜像、裸金属，及对应的网络配置。  
- **[ALB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_alb)**：查阅应用型负载均衡实例的信息，包括实例关联的监听器、后端服务器组以及证书等相关信息。  

### **大数据**  

- **[LAS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_las)**：LAS提供多模态数据集管理及清洗能力。  
- **[ByteHouse MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_bytehouse)**：ByteHouse MCP Server 实现大语言模型与 ByteHouse 的高效协同，支持数据开发（生成代码并应用）、查询优化（分析建议转化为策略）、集群运维（风险预测与处理）。  

### **视频云**  

- **[Live MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_live)**：通过自然语言高效查询视频直播服务数据。  
- **[VeVOD MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vod)**：火山引擎 VOD 智能剪辑助手。  
- **[veImageX MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veimagex)**：火山引擎 veImageX 智能图片助理。  
- **[云手机 Mobile Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mobile_use)**：面向 Agent 基于 MCP 自动化执行云手机任务。  

### **安全**  

- **[安全智能体 MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sec_agent)**：AI 驱动的安全运营代理，整合火山安全自有工具及第三方生态的一站式智能安全运营服务。  

### **企业服务与云通信**  

- **[证书中心 MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_certificate_center)**：通过自然语言驱动管理证书服务。  
- **[域名服务 MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_domain_service)**：通过自然语言高效查询并注册域名。  
- **[TrafficRoute MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_traffic_route)**：各种类型的 DNS 节点链路配置。

### **管理与治理**  

- **[费用中心 Billing MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_billing)**：通过自然语言驱动调用火山引擎费用中心服务。  
- **[访问控制 IAM MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_iam)**：通过自然语言驱动对火山引擎权限系统的管理。  
- **[安全凭证服务 STS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sts)**：通过自然语言驱动调用火山引擎安全凭证服务。  
- **[资源共享 ResourceShare MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resource_share)**：通过自然语言驱动调用火山引擎资源共享服务。  
- **[项目管理 Project MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_project)**：通过自然语言驱动调用火山引擎云项目管理服务。  
- **[云身份中心 CloudIdentity MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudidentity)**：通过自然语言驱动调用火山引擎云身份中心服务。  
- **[企业组织 Organization MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_organization)**：通过自然语言驱动调用火山引擎企业组织服务。  
- **[标签服务 Tag MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tag)**：通过自然语言驱动调用火山引擎标签服务。  
- **[资源中心 ResourceCenter MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resourcecenter)**：通过自然语言驱动调用火山引擎资源中心服务。  
- **[云审计 CloudTrail MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_trail)**：通过自然语言驱动调用火山引擎云审计服务。  

### **开发者工具**  

- **[CCAPI MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ccapi)**：基于火山引擎的Cloud Control API管理火山资源的MCP工具。  
- **[Browser-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_browser_use)**：基于 Browser-use 的MCP浏览器工具。  
- **[Code-Sandbox MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_sandbox)**：面向LLM 的代码沙箱。  
- **[Computer-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_computer_use)**：自然语言驱动对云服务器实例内的应用进行高效的管理。  
- **[云登-云端指纹浏览器](https://github.com/clpublic/mcp-server-cloudbrowser-go)**：提供云端浏览器自动化交互。  
- **[Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking)**：Dynamic and reflective problem-solving through thought sequences.  
- **[Everything](https://github.com/modelcontextprotocol/servers/tree/main/src/everything)**：Reference / test server with prompts, resources, and tools.  
- **[Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)**：Knowledge graph-based persistent memory system.  
- **[Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer)**：Browser automation and web scraping.  
- **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)**：Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more).  
- **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)**：Work on your code with JetBrains IDEs.  
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)**：Interact with your crash reporting and real using monitoring data on your Raygun account.  
- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)**：A simple implementation of an MCP server for dify workflows.  
- **[Docker](https://github.com/ckreiling/mcp-server-docker)**：Integrate with Docker to manage containers, images, volumes, and networks.  
- **[Drupal](https://github.com/Omedia/mcp-server-drupal)**：Server for interacting with Drupal using STDIO transport layer.  
- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)**：Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more.  
- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)**：Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more.  
- **[Minima](https://github.com/dmayboroda/minima)**：MCP server for RAG on local files.  
- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)**：C++ MCP integration for Oat++.  
- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)**：Interact with OpenAPI APIs.  
- **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)**：Interact with OpenCTI platform to retrieve threat intelligence data.  
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)**：Interact with and discover JSON-RPC APIs via OpenRPC.  

### **搜索工具**  

- **[汉得-精准营销](https://github.com/koudaiDemon/mcp-server-hand)**：通过分析用户对话，精准提取多维度标签，与行业数据库中的商品标签智能匹配，从而为用户精准推荐契合需求的商品，提升购物体验与转化率。  
- **[水滴信用-企业大数据](https://github.com/shuididata/mcp-server)**：用好数据服务好企业， 企业信用信息服务商。  
- **[飞常准-Aviation](https://github.com/variflight/variflight-mcp)**：Aviation MCP Server 提供了7个核心API接口，涵盖航班实时动态、OD对航班查询、航班中转方案、乘机舒适度（包括机上座舱设施和餐食）、飞机实时定位、机场未来天气、以及机票运价等服务。  
- **[Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)**：Web and local search using Brave's Search API.  
- **[Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)**：Web content fetching and conversion for efficient LLM usage.  
- **[Tavily search](https://github.com/RamXX/mcp-tavily)**：An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions.  
- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server)**：Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.  
- **[Youtube](https://github.com/ZubeidHendricks/youtube-mcp-server)**：Comprehensive YouTube API integration for video management, Shorts creation, and analytics.  
- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)**：Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting.  
- **[Exa](https://github.com/exa-labs/exa-mcp-server)**：Search Engine made for AIs by Exa.  
- **[Kagi Search](https://github.com/kagisearch/kagimcp)**：Search the web using Kagi's search API.  
- **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)**：Interact & query with Meilisearch (Full-text & semantic search API).  
- **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)**：Implement semantic memory layer on top of the Qdrant vector search engine.  
- **[Search1API](https://github.com/fatwang2/search1api-mcp)**：One API for Search, Crawling, and Sitemaps.  
- **[Glean](https://github.com/longyi1207/glean-mcp-server)**：A server that uses Glean API to search and chat.  
- **[Pinecone](https://github.com/sirmews/mcp-pinecone)**：MCP server for searching and uploading records to Pinecone.  
- **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)**：MCP server implementation that provides Elasticsearch interaction.  
- **[AI搜索引擎](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_aisearch_engine)**：基于大模型的多模态语义表征和理解能力，结合字节跳动信息检索领域多年最佳实践，为客户提供开箱即用的 AI 搜索搭建平台服务，帮助客户轻松搭建和集成端到端的多模态图文搜索和推荐能力。

### **位置服务**  

- **高德地图**：高德地图官方 MCP Server。  
- **[百度地图](https://github.com/baidu-maps/mcp)**：百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。  
- **[Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps)**：Location services, directions, and place details.  
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)**：A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.  

### **内容生成**  

- **[咔片-智能生成 PPT](https://github.com/cappt-team/mcp-server)**：咔片，轻量化在线演示设计。  
- **[必优-ChatPPT](https://github.com/YOOTeam/chatppt-mcp)**：必优科技智能文档MCP Server目前已经覆盖了18个智能文档的接口能力，包括但不限于PPT创作，PPT美化，PPT生成，简历创作，简历分析，人岗匹配等场景下的文档处理能力。  
- **[Figma](https://github.com/GLips/Figma-Context-MCP)**：为 Agent 提供 Figma 文件的布局和样式信息，增强它们准确生成设计的能力。  
- **[EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart)**：AI image generation using various models.  
- **[联网问答Agent](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_askecho)**：基于联网搜索结果，提供端到端的AI问答能力。
- **[SearchInfinity](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_askecho_search_infinity)**：提供联网搜索能力，助力AI大模型获取知识、提升回复准确性。

### **源码管理**  

- **[GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github)**：Repository management, file operations, and GitHub API integration.  
- **[E2B](https://github.com/e2b-dev/mcp-server)**：Run code in secure sandboxes hosted by E2B.  
- **[Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git)**：Tools to read, search, and manipulate Git repositories.  
- **[GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab)**：GitLab API, enabling project management.  
- **[Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry)**：Retrieving and analyzing issues from Sentry.io.  

### **数据查询**  

- **[Neon](https://github.com/neondatabase/mcp-server-neon)**：Interact with the Neon serverless Postgres platform.  
- **[PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres)**：Read-only database access with schema inspection.  
- **[Sqlite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite)**：Database interaction and business intelligence capabilities.  
- **[Axiom](https://github.com/axiomhq/mcp-server-axiom)**：Query and analyze your Axiom logs, traces, and all other event data in natural language.  
- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)**：Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1).  
- **[Metoro](https://github.com/metoro-io/metoro-mcp-server)**：Query and interact with kubernetes environments monitored by Metoro.  
- **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)**：Query and analyze data with MotherDuck and local DuckDB.  
- **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)**：Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory.  
- **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)**：Interact with Tinybird serverless ClickHouse platform.  
- **[Chroma](https://github.com/privetin/chroma)**：Vector database server for semantic document search and metadata filtering, built on Chroma.  
- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)**：MySQL database integration in Python with configurable access controls and schema inspection.  
- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)**：MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.  
- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)**：Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export.  
- **[Redis](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**：MCP server for interacting with Redis, a high-performance in-memory NoSQL key-value database.
- **[MongoDB](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**：A Model Co

…

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [volcengine](https://github.com/volcengine)
- **Source:** [volcengine/mcp-server](https://github.com/volcengine/mcp-server)
- **License:** MIT
- **Homepage:** https://www.volcengine.com/mcp-marketplace

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-volcengine-mcp-server
- Seller: https://agentstack.voostack.com/s/volcengine
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.