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mcp-server MCP Server

volcengine/mcp-server

Score: 75.7 ↓ 21.4% Rank #2957 MCP Server
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Overview

volcengine/mcp-server is a Python MCP server licensed under MIT. Volcengine MCP Servers

Ranked #2957 out of 24846 indexed tools.

Has 100 contributors.

Ecosystem

Python MIT 9,076 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 328

328 stars → growing community

Freshness 25% 16d ago

Last commit 16d ago → recently updated

Issue Health 25% 28%

7/25 issues closed → many open issues

Contributors 10% 100

100 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 9,076/wk

9,076 weekly installs → widely installed

Forks 167
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 18 open vs 7 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Install in your agent

claude mcp add mcp-server -- uvx mcp-server
codex mcp add mcp-server -- uvx mcp-server
{"mcpServers":{"mcp-server":{"command":"uvx","args":["mcp-server"]}}}
hermes mcp add mcp-server --command uvx --args mcp-server

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Matched Queries

"mcp server""mcp-server"

From the README

# 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 
Read full README on GitHub →

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