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tradingview-mcp

atilaahmettaner/tradingview-mcp

Real-time market data and technical analysis for financial markets

GraphCanon updated 4w · GitHub synced 4w

3.7k stars798 forksLast push 1mo Python MIT

Decision brief

tradingview-mcp is designed for developers and financial professionals seeking real-time market data and advanced technical analysis tools across multiple trading platforms including Claude, ChatGPT, Cursor among others.

Good fit when

  • When you need to access real-time market data from various asset classes like stocks, crypto, forex, and futures from global exchanges.
  • For integrations requiring the Model Context Protocol to enhance trading strategies with detailed technical analysis tools.

Avoid when

  • Do not use if you are developing for a non-MCP compatible platform or if real-time data and complex technical analysis are not required.
  • Avoid using this tool if your project focuses specifically on financial advice platforms that do not require integration with multiple assets types in real time.
Pricing:
freemium - The MIT license offers free use, but proprietary add-ons may apply costs depending on the services you opt into when extending beyond base capabilities.

Observed Jul 15, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (2d since push)
As of 4w
Provenance
Not a fork · Personal account
As of 4w
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install tradingview-mcp
PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A TradingView MCP server offering real-time market data, technical analysis tools, screeners, and backtesting capabilities for various trading platforms including Claude, ChatGPT, Cursor, and more. It supports stocks, crypto, forex, and futures from global exchanges.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 26, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 26, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 26, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 26, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 26, 2026)

| **Time to first call** | ~5 minutes (Python + `uv`) | ~60 seconds (paste one URL) |
Source link
Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Jul 26, 2026)

> ☁️ **Zero setup:** paste one connector URL into Claude.ai, ChatGPT, Copilot, or Cursor → **[start a 3-day free trial](https://pro.cryptosieve.com)
Source link
Works with CursorCursor

Source: README excerpt (regex_v1, Jul 26, 2026)

☁️ **Zero setup:** paste one connector URL into Claude.ai, ChatGPT, Copilot, or Cursor → **[start a 3-day free trial](https://pro.cryptosieve.com)**. Everything below
Source link

Tags

README

🚀 Quick Start (5 Minutes)

Two ways to run it — the same 37 tools either way:

🧑‍💻 Self-host (this repo)☁️ Hosted — pro.cryptosieve.com
PriceFree forever (MIT)$9/mo Pro · $29/mo Pro+ · 3-day trial
Time to first call~5 minutes (Python + uv)~60 seconds (paste one URL)
Updates & opsYou run and update itManaged — always on the latest
Runs onYour machine or VPSHosted, streamed from the edge
LimitsYour hardware2,500/mo · 60/min (Pro) → 10,000/mo · 150/min (Pro+)
Best forTinkerers, forkers, full controlFolks who'd rather skip the ops

☁️ Zero setup: paste one connector URL into Claude.ai, ChatGPT, Copilot, or Cursor → start a 3-day free trial. Everything below is for self-hosting.


Install via pip

pip install tradingview-mcp-server

1. Install UV and tradingview-mcp

curl -LsSf https://astral.sh/uv/install.sh | sh && source ~/.bashrc uv tool install tradingview-mcp-server


5. Install the skill + tool wrapper

mkdir -p ~/.agents/skills/tradingview-mcp ~/.openclaw/tools curl -fsSL https://raw.githubusercontent.com/atilaahmettaner/tradingview-mcp/main/openclaw/SKILL.md
-o ~/.agents/skills/tradingview-mcp/SKILL.md curl -fsSL https://raw.githubusercontent.com/atilaahmettaner/tradingview-mcp/main/openclaw/trading.py
-o ~/.openclaw/tools/trading.py && chmod +x ~/.openclaw/tools/trading.py


📄 License

MIT License — see LICENSE for details.


Disclaimer: This tool is for educational and research purposes only. It does not constitute financial advice. Always do your own research before making investment decisions.

For agents

This page has a .md twin and JSON over the API.

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