M
mcp-agents-ai/mcp-agents-hub
Find, build and deploy MCP servers and clients
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
We have neither an install command nor a public remote endpoint from this repository, so we do not print a config. A made-up one is worse than none. How each client wires MCP up →
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# 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
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/mcp-agents-ai-mcp-agents-hub/)
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- awesome · https://github.com/mcp-agents-ai/mcp-agents-hub
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