M
mcp-agents-ai/mcp-agents-hub
Find, build and deploy MCP servers and clients
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# MCP Agents Hub
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
The open-source ecosystem for building, discovering, and deploying Model Context Protocol servers and clients for enterprise environments.
## What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.
With MCP, AI systems can maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture.
### Key Components
MCP Specification: The open standard protocol definition that enables interoperability between servers and clients
MCP Servers: Custom-built connectors that expose data sources, tools, and APIs to AI applications
MCP Clients: AI-powered applications that connect to MCP servers to access contextual data and functionality
### MCP Servers and Clients Relationship
mermaid
graph LR
subgraph "Enterprise Data Sources"
DS1[Internal Tools]
DS2[Databases]
DS3[GitHub/Git]
DS4[Google Drive]
DS5[Custom APIs]
end
subgraph "MCP Servers"
S1[Internal Tools Server]
S2[Database Server]
S3[GitHub Server]
S4[Google Drive Server]
S5[Custom API Server]
end
subgraph "MCP Clients"
C1[AI Assistants]
C2[IDE Extensions]
C3[Chat Applications]
C4[Custom Tools]
end
DS1 --> S1
DS2 --> S2
DS3 --> S3
DS4 --> S4
DS5 --> S5
S1 --> C1
S1 --> C2
S2 --> C1
S2 --> C3
S3 --> C2
S3 --> C4
S4 --> C1
S4 --> C3
S5 --> C4
classDef dataSources fill:#6b7280,stroke:#6b7280,color:white;
classDef servers fill:#3b82f6,stroke:#3b82f6,color:white;
classDef clients fill:#0ea5e9,stroke:#0ea5e9,color:white;
class DS1,DS2,DS3,DS4,DS5 dataSources;
class S1,S2,S3,S4,S5 servers;
class C1,C2,C3,C4 clients;
## Why MCP Agents Hub?
As the MCP ecosystem expands, organizations need a central hub to manage, discover, and share MCP resources. This marketplace serves as that hub, enabling enterprises to:
Discover pre-built MCP servers for common enterprise systems
Share custom MCP servers developed within their organization
Learn best practices for building effective MCP connectors
Deploy the entire marketplace on-premise for security and governance
### MCP Agents Hub Ecosystem
mermaid
graph TD
M[MCP Agents Hub]
subgraph "Server Registry"
S1[Published Servers]
S2[Private Servers]
end
subgraph "Client Directory"
C1[Published Clients]
C2[Private Clients]
end
M --> S1
M --> S2
M --> C1
M --> C2
M --> M3[Developer Resources]
classDef marketplace fill:#4f46e5,stroke:#4f46e5,color:white;
classDef servers fill:#3b82f6,stroke:#3b82f6,color:white;
classDef clients fill:#0ea5e9,stroke:#0ea5e9,color:white;
class M,M3 marketplace;
class S1,S2 servers;
class C1,C2 clients;
## Features
Server Building: Templates, examples, and best practices to accelerate MCP server development
Client Development: Build AI applications that leverage the MCP protocol with standardized interfaces
Tool Discovery: Find pre-built MCP servers for popular enterprise systems (Google Drive, Slack, GitHub, Git, Postgres, etc.)
Enterprise-Ready Deployment: Deploy on-premise for enhanced security and compliance
## What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.
With MCP, AI systems can maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture.
### Key Components
MCP Specification: The open standard protocol definition that enables interoperability between servers and clients
MCP Servers: Custom-built connectors that expose data sources, tools, and APIs to AI applications
MCP Clients: AI-powered applications that connect to MCP servers to access contextual data and functionality
### MCP Servers and Clients Relationship
mermaid
graph LR
subgraph "Enterprise Data Sources"
DS1[Internal Tools]
DS2[Databases]
DS3[GitHub/Git]
DS4[Google Drive]
DS5[Custom APIs]
end
subgraph "MCP Servers"
S1[Internal Tools Server]
S2[Database Server]
S3[GitHub Server]
S4[Google Drive Server]
S5[Custom API Server]
end
subgraph "MCP Clients"
C1[AI Assistants]
C2[IDE Extensions]
C3[Chat Applications]
C4[Custom Tools]
end
DS1 --> S1
DS2 --> S2
DS3 --> S3
DS4 --> S4
DS5 --> S5
S1 --> C1
S1 --> C2
S2 --> C1
S2 --> C3
S3 --> C2
S3 --> C4
S4 --> C1
S4 --> C3
S5 --> C4
classDef dataSources fill:#6b7280,stroke:#6b7280,color:white;
classDef servers fill:#3b82f6,stroke:#3b82f6,color:white;
classDef clients fill:#0ea5e9,stroke:#0ea5e9,color:white;
class DS1,DS2,DS3,DS4,DS5 dataSources;
class S1,S2,S3,S4,S5 servers;
class C1,C2,C3,C4 clients;
## Why MCP Agents Hub?
As the MCP ecosystem expands, organizations need a central hub to manage, discover, and share MCP resources. This marketplace serves as that hub, enabling enterprises to:
Discover pre-built MCP servers for common enterprise systems
Share custom MCP servers developed within their organization
Learn best practices for building effective MCP connectors
Deploy the entire marketplace on-premise for security and governance
### MCP Agents Hub Ecosystem
mermaid
graph TD
M[MCP Agents Hub]
subgraph "Server Registry"
S1[Published Servers]
S2[Private Servers]
end
subgraph "Client Directory"
C1[Published Clients]
C2[Private Clients]
end
M --> S1
M --> S2
M --> C1
M --> C2
M --> M3[Developer Resources]
classDef marketplace fill:#4f46e5,stroke:#4f46e5,color:white;
classDef servers fill:#3b82f6,stroke:#3b82f6,color:white;
classDef clients fill:#0ea5e9,stroke:#0ea5e9,color:white;
class M,M3 marketplace;
class S1,S2 servers;
class C1,C2 clients;
## Features
Server Building: Templates, examples, and best practices to accelerate MCP server development
Client Development: Build AI applications that leverage the MCP protocol with standardized interfaces
Tool Discovery: Find pre-built MCP servers for popular enterprise systems (Google Drive, Slack, GitHub, Git, Postgres, etc.)
Enterprise-Ready Deployment: Deploy on-premise for enhanced security and compliance
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/mcp-agents-ai-mcp-agents-hub/)
- 来源
- awesome · https://github.com/mcp-agents-ai/mcp-agents-hub
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