atilaahmettaner/tradingview-mcp

Description and use

**Brief Summary**
TradingView MCP is an open‑source Python server that streams real‑time market data, technical‑analysis indicators, screeners and back‑testing capabilities to any MCP client—including Claude, ChatGPT, Cursor, and custom bots. It supports stocks, crypto, forex and futures from global exchanges and can be run as a hosted service or self‑hosted instance.

**Value**
The project gives developers a ready‑made bridge between TradingView‑style market intelligence and AI/automation platforms, making it far easier to prototype and test Web3 workflows such as wallet interactions, DeFi strategies, or blockchain‑driven trading bots without building a data pipeline from scratch. Because the implementation is fully open, teams can inspect, extend, or audit the data‑handling logic to meet compliance or security requirements.

**Practical Adoption Path**

| Step | Action | Reason |
|------|--------|--------|
| 1️⃣ | **Spin up a test instance** (Docker compose or pip install tradingview-mcp) | Quick validation of connectivity and data coverage. |
| 2️⃣ | **Connect an MCP client** (e.g., Claude, ChatGPT, Cursor) using the provided REST/WS API or the supplied Python SDK | Confirms that the AI can request live quotes, indicators, or back‑test results. |
| 3️⃣ | **Integrate with blockchain components** (wallet SDK, smart‑contract calls) | Demonstrates end‑to‑end Web3 use cases such as triggering a trade when a technical signal fires. |
| 4️⃣ | **Run a pilot** on a staging environment, instrumenting logging and monitoring | Validates reliability, latency, and error handling under realistic load. |
| 5️⃣ | **Scale to production** (self‑hosted on Kubernetes or use the hosted offering) and add authentication/role‑based access controls | Provides the needed operational robustness for a production deployment. |

**Production Readiness**

• **Activity & Adoption**: 3,291 stars, 705 forks, recent commits (as of 2026‑06‑28) and a vibrant community indicate strong momentum.
• **Technical Maturity**: Written in Python, the codebase is modular, includes a CLI, SDK, and clear API docs, and covers 13 topical areas (data ingestion, screening, back‑testing, etc.).
• **Scalability**: Designed to run both as a hosted SaaS and self‑hosted container, making it adaptable to small prototypes and large‑scale production clusters.
• **Risk Profile**: No immediate licensing or security red flags, though a final audit of the license (MIT/Apache‑2.0‑style) and a vulnerability scan of dependencies is recommended before mission‑critical use.

Overall, TradingView MCP is a high‑readiness OSS component that can be evaluated quickly and, after standard security vetting, promoted to production for AI‑driven trading and Web3 workflow automation.

Use in a workflow

atilaahmettaner/tradingview-mcp helps prototype or inspect blockchain workflows with open implementation details.

• build Web3 workflows
• inspect blockchain integrations
• prototype wallet or DeFi features

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.