Task Queue — EC2 + SSE
БесплатноНе проверенEnables Cursor on your laptop to connect to an MCP server on EC2 via SSE/HTTPS to manage a task queue stored in Postgres, supporting task listing, status update
Описание
Enables Cursor on your laptop to connect to an MCP server on EC2 via SSE/HTTPS to manage a task queue stored in Postgres, supporting task listing, status updates, and work prompt generation.
README
Pure Python MCP setup so Cursor on your laptop works on tasks stored in a Postgres DB on EC2. Cursor talks MCP over SSE/HTTPS to the EC2 MCP server; it never touches Postgres directly.
Architecture
Jira Issue
↓
n8n Workflow (triggered by Jira)
↓ HTTP POST /ingest
EC2: Ingest API (FastAPI) — validates, normalizes, writes to Postgres
↓
EC2: Postgres — tasks table (pending, in_progress, completed, failed)
↑
EC2: MCP Server (SSE) — tools operate on tasks, exposes /mcp/sse
↑ SSE/HTTPS
Laptop: Cursor — configured to connect to EC2 MCP server
Project layout
app/
__init__.py
config.py # DATABASE_URL, INGEST_TOKEN
database.py # async Postgres task CRUD
ingest_api.py # FastAPI routes: /health, POST /ingest
mcp_server.py # FastMCP with tools (list_tasks, get_task, ...)
mcp_sse.py # SSE transport wiring
ingest_app.py # Entry: uvicorn ingest_app:app
mcp_sse_app.py # Entry: uvicorn mcp_sse_app:app
init_db.py # Create tasks table
env.example # Template for .env
Install
python -m venv .venv
source .venv/bin/activate # Windows: .\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
cp env.example .env
# Edit .env: DATABASE_URL, INGEST_TOKEN
Database migrations
Create the tasks table once:
python init_db.py
Schema: id, source, title, instructions, acceptance_criteria (JSONB), file_hints (JSONB), meta (JSONB), status, timestamps (created_at, started_at, completed_at, failed_at, updated_at), completion_note, failure_reason, previous_status.
Run the services
Ingest API (n8n webhook)
uvicorn ingest_app:app --host 0.0.0.0 --port 8787
GET /health— health checkPOST /ingest— requires headerX-Ingest-Token: <INGEST_TOKEN>
MCP SSE server (Cursor endpoint)
uvicorn mcp_sse_app:app --host 0.0.0.0 --port 8080
GET /health— health checkGET /mcp/sse— MCP SSE endpoint (Cursor connects here)POST /mcp/messages/— MCP message endpoint (used by client after SSE)
Configure Cursor (client)
Configure Cursor on your laptop to talk to the EC2 MCP server over SSE. Copy mcp.json.example to .cursor/mcp.json or add to global MCP settings:
{
"mcpServers": {
"ec2-tasks": {
"url": "https://<YOUR_DOMAIN_OR_IP>/mcp/sse",
"env": {}
}
}
}
Replace <YOUR_DOMAIN_OR_IP> with your EC2 hostname or IP. If using a non-standard port, include it: https://example.com:8080/mcp/sse. For local dev: http://localhost:8080/mcp/sse.
Important: Cursor connects to the EC2 MCP server over SSE/HTTPS. EC2 talks to Postgres; Cursor never touches the database.
Rules & work prompt
Edit rules.md in the project root to add rules and instructions the MCP server will include in work prompts. This content is combined with each task and passed to the agent.
- MCP prompt
task_work_prompt(task_id)— Returns the full prompt (rules + task) to pass to the agent. - Tool
get_work_prompt(task_id)— Same content as JSON for programmatic use.
MCP tools
| Tool | Description |
|---|---|
list_tasks |
List tasks (inbox by default; filter by status) |
get_task |
Get full task by id |
get_work_prompt |
Build full prompt (rules + task) for a task id |
enqueue_task |
Manually create a task (for testing) |
start_task |
Set status to in_progress |
complete_task |
Set status to completed |
fail_task |
Set status to failed |
n8n HTTP Request (Jira → ingest)
- Method: POST
- URL:
https://<YOUR_EC2>/ingest(or via ngrok / load balancer) - Headers:
Content-Type: application/json,X-Ingest-Token: <INGEST_TOKEN> - Body: JSON with at least
id,instructions; optionalsource,title,acceptance_criteria,file_hints,meta
EC2 deployment notes
- Environment: Set
DATABASE_URLandINGEST_TOKEN(e.g. via.envor systemd env). - Processes:
- Ingest:
uvicorn ingest_app:app --host 0.0.0.0 --port 8787 - MCP SSE:
uvicorn mcp_sse_app:app --host 0.0.0.0 --port 8080
- Ingest:
- Reverse proxy (Nginx):
- Proxy
/ingestand/healthto ingest on 8787. - Proxy
/mcp/sseand/mcp/messages/to MCP on 8080. - Use HTTPS and keep MCP paths under the same origin.
- Proxy
- ngrok:
- Expose both ports or put a reverse proxy in front and expose one.
- Example:
ngrok http 8080for MCP,ngrok http 8787for ingest (separate tunnels).
Ingest behavior
- New task → insert as
pending. - Existing, status
pendingorin_progress→ return duplicate error (no overwrite). - Existing, status
completedorfailed→ upsert as newpendingversion, preserveprevious_status.
Установка Task Queue — EC2 + SSE
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/mohamedomar193/mcp-server-1FAQ
Task Queue — EC2 + SSE MCP бесплатный?
Да, Task Queue — EC2 + SSE MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Task Queue — EC2 + SSE?
Нет, Task Queue — EC2 + SSE работает без API-ключей и переменных окружения.
Task Queue — EC2 + SSE — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Task Queue — EC2 + SSE в Claude Desktop, Claude Code или Cursor?
Открой Task Queue — EC2 + SSE на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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