A2amesh
@oaslananka
A2amesh について
AI-native TypeScript runtime and tools for A2A agent orchestration, MCP integration, registry, protocol, and CLI.
基本情報
設定
ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is A2amesh?
AI-native TypeScript runtime and tools for A2A agent orchestration, MCP integration, registry, protocol, and CLI.
How to use A2amesh?
Follow the repository README to install the server and add its MCP configuration to your client.
Key features of A2amesh
- A2A server runtime and client SDK for Agent Cards, JSON-RPC messages, tasks, artifacts, and status transitions
- Registry components for local discovery and health polling
- MCP bridge, WebSocket transport, gRPC transport, and testing helper packages for repository-verified workflows
- Public HTTP server mode must use authentication unless it is bound to loopback
- A2A server and registry HTTP routes apply a per-client request limit by default
Use cases of A2amesh
- Connect an MCP-compatible client to this repository's service.
- Review the README-backed setup before enabling it in production.
FAQ from A2amesh
Where is the source code for A2amesh?
The source code is linked from the repository URL on this page.
Does A2amesh include a standard MCP config?
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
「AI とエージェント」の他のコンテンツ
Model Context Protocol Server for Home Assistant
tevonsbA MCP server for Home Assistant
Perplexity Ask MCP Server
ppl-aiThe official MCP server implementation for the Perplexity API Platform
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
コメント