Multi Agent Server
БесплатноНе проверенA multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP, exposing specialized domain agents as tools to automate business workfl
Описание
A multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP, exposing specialized domain agents as tools to automate business workflows.
README
A multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP. A set of specialized domain agents (email, CRM, calendar, customer support, helpdesk, reporting) are exposed as MCP tools and coordinated to automate business workflows, with a bilingual Streamlit dashboard for observability.
Part of the SunnyLab build series. Sanitized public showcase — credentials and infrastructure identifiers removed; configure your own
.env.
What it demonstrates
- Multi-agent architecture over MCP / FastMCP — domain agents as composable, policy-routed tools
- Enterprise integrations — Gmail, Salesforce, and other services behind a service layer
- Streamlit dashboard (Korean / English) for runs and observability
- Cloud-native delivery — Docker, docker-compose, Cloud Build, GitHub Actions (project/VM values are placeholders)
Architecture
MCP client (Claude Desktop / Cursor / custom)
│ MCP
▼
FastMCP server ── routes ──► domain agents
├─ email ├─ crm ├─ calendar
├─ cs ├─ helpdesk └─ report
│
▼
service layer (Gmail / Salesforce / …) → Streamlit dashboard (KR/EN)
See mcp_server/ for agents, tools, and services.
Tech stack
Python · MCP / FastMCP · Salesforce & Gmail integrations · Streamlit · Docker / docker-compose · Google Cloud Build · GitHub Actions
Project structure
mcp_server/ # agents, tools, services (MCP/FastMCP)
dashboard.py # Streamlit dashboard (KR)
dashboard_en.py # Streamlit dashboard (EN)
tests/ # unit tests
cloudbuild.yaml # Cloud Build (placeholders)
docker-compose.yml · Dockerfile
.env.example # required env vars (no real keys)
Setup
cp .env.example .env # fill in your own keys (OPENAI/Google/Salesforce …)
pip install -r requirements.txt
# run the MCP server (see mcp_server/) and the dashboard:
streamlit run dashboard.py
Note
Public portfolio showcase. Credential files, tokens, and infra identifiers (GCP project, VM IP) were removed before publishing; CI/deploy files use placeholders and require your own configuration.
SunnyLab — building agentic AI in public · Medium @sunnylabtv · YouTube @sunnylabtv
Установка Multi Agent Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/sunnylabtv-crypto/ai_mcp_multi_agent-publicFAQ
Multi Agent Server MCP бесплатный?
Да, Multi Agent Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Multi Agent Server?
Нет, Multi Agent Server работает без API-ключей и переменных окружения.
Multi Agent Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Multi Agent Server в Claude Desktop, Claude Code или Cursor?
Открой Multi Agent Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Multi Agent Server with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
