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MarketIntel MCP Server

by buildingagentswithdeepak-beep
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Python
Hybrid

MarketIntel MCP Server (Azure Container Apps)

Cloud-hosted MCP server exposing market-research tools over SSE, per MarketIntel_MCP_Server_Azure_Spec.md. Developers connect from VS Code (Copilot Chat Agent mode) to a shared Azure HTTPS endpoint — no local server.

Layout

MCPServer/
├── server.py                # Entrypoint (spec §7.3): binds 0.0.0.0:8000, SSE
├── market_intel/
│   ├── config.py            # Env-driven settings; secrets via env only (§9)
│   ├── providers.py         # SearchProvider seam: Tavily (prod) / Fake (offline)
│   ├── tools.py             # 5 tools + resource + prompt logic (§6, §10)
│   └── mcp_app.py           # FastMCP wiring (lazy import)
├── tests/test_tools.py      # 17 offline unit tests (§11)
├── Dockerfile               # python:3.12-slim + uv (§7.2)
├── infra/deploy.sh          # az containerapp up + scale rules (§7.4, §8)
├── .vscode/mcp.json         # VS Code MCP client config (§7.5)
└── .env.example

Related MCP server: Deep Research MCP

Run locally (offline, no key)

python -m pytest -q                 # 17 passing
SEARCH_PROVIDER=fake python server.py   # serves SSE on :8000 (needs fastmcp)

Run with real Tavily

pip install fastmcp tavily-python uvicorn
export TAVILY_API_KEY=tvly-...      # SEARCH_PROVIDER defaults to tavily
python server.py

Deploy to Azure

export TAVILY_KEY=tvly-...
bash infra/deploy.sh                # prints the *.azurecontainerapps.io FQDN

Then set the /sse URL in .vscode/mcp.json.

Design note

The Tavily dependency is behind a SearchProvider adapter (spec-driven offline seam): FakeSearchProvider makes the full tool pipeline + tests run with zero network and no API key; TavilyProvider (lazy-imported SDK) is selected by SEARCH_PROVIDER=tavily for production. Same contract, one config flag.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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