by dhyansraj · MCP Server · ★ 34
Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + Java + TypeScript | MCP + A2A + REST
| Stars | 34 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 38.2/100 |
| Open Issues | 11 |
| Last Updated | 2026-05-22 |
| Created | 2025-06-02 |
| Platforms | k8s, mcp, python |
| Est. Tokens | ~9683k |
Explore other popular mcp server tools:
mcp-mesh is Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + Java + TypeScript | MCP + A2A + REST. It is categorized as a MCP Server with 34 GitHub stars.
mcp-mesh is primarily written in Python. It covers topics such as a2a, a2a-protocol, agentic-ai.
You can find installation instructions and usage details in the mcp-mesh GitHub repository at github.com/dhyansraj/mcp-mesh. The project has 34 stars and 7 forks, indicating an active community.
mcp-mesh is released under the MIT license, making it free to use and modify according to the license terms.