mcp-mesh

by dhyansraj · MCP Server · ★ 34

About mcp-mesh

MCP Mesh [![Discord](https://i

a2aa2a-protocolagentic-aiai-agentsai-agents-frameworkdistributed-aijavakubernetesmcpmcp-mesh

Quick Facts

Stars34
Forks7
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score54.58/100
Open Issues9
Last Updated2026-05-19
Created2025-06-02
Platformsk8s, mcp, python
Est. Tokens~9665k

Compatible Skills

These tools work well together with mcp-mesh for enhanced workflows:

  • a2a-adapter — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • atlasclaw — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • Avernet — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is mcp-mesh?

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.

What programming language is mcp-mesh written in?

mcp-mesh is primarily written in Python. It covers topics such as a2a, a2a-protocol, agentic-ai.

How do I install or use mcp-mesh?

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.

What license does mcp-mesh use?

mcp-mesh is released under the MIT license, making it free to use and modify according to the license terms.

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