chart-img-mcp
Enables AI agents to capture TradingView chart snapshots via the CHART-IMG API, supporting multiple chart types and resolutions with automatic dimension clamping and authentication.
README
chart-img-mcp
A Model Context Protocol (stdio) server for CHART-IMG — TradingView chart snapshots via https://api.chart-img.com. API reference: doc.chart-img.com.
Existing MCPs?
Public MCP listings include TradingView chart servers that drive a browser (e.g. Selenium) or QuickChart / ECharts — they are not the official CHART-IMG REST API. This package wraps chart-img.com similarly to how binance-mcp wraps the Binance SDK.
Prerequisites
- Node.js 20+
- pnpm
Install
cd chart-img-mcp
pnpm install
cp .env.example .env
# Set CHART_IMG_API_KEY in .env (from chart-img.com)
pnpm run build
Run (stdio)
pnpm start
# or
node dist/index.js
Cursor / IDE
Add a server entry (do not commit real keys):
{
"mcpServers": {
"chart-img": {
"command": "node",
"args": ["/absolute/path/to/auto_trade/chart-img-mcp/dist/index.js"],
"env": {
"CHART_IMG_API_KEY": "your-api-key"
}
}
}
}
Dev without building:
"command": "pnpm",
"args": ["exec", "tsx", "src/index.ts"],
"cwd": "/absolute/path/to/auto_trade/chart-img-mcp"
MCP resources
| URI | Purpose |
|---|---|
chart-img://docs/quick-reference |
Curated agent notes (resolution limits, auth, symbols, v3 caveats, errors) with links into doc.chart-img.com. Fetched via Resources: List / Read in MCP clients. |
Static snippets stay accurate for common bumps; the live manual remains the source of truth for full parameter lists and indicator/drawing schemas.
Tools
| Name | Notes |
|---|---|
chartimg_snapshot |
Agent-friendly: v2 advanced chart → storage URL with safe defaults (symbol + interval + Volume + max dimensions). Prefer this for typical “show me this chart” requests. |
chartimg_v1_mini_chart_storage |
GET v1 mini chart → storage JSON (url, etc.) |
chartimg_v1_advanced_chart_storage |
GET v1 advanced chart → storage JSON |
chartimg_v2_advanced_chart_storage |
POST v2 advanced chart → storage JSON (preferred for large images). Width/height are clamped automatically. |
chartimg_v2_advanced_chart_image |
POST v2 advanced chart → base64 PNG/JPEG (can be large). Width/height are clamped automatically. |
chartimg_v2_layout_chart_storage |
POST v2 shared layout → storage JSON |
chartimg_v2_layout_chart_image |
POST v2 shared layout → base64 |
chartimg_v3_exchange_list |
GET v3 exchange id list |
chartimg_v3_exchange_symbols |
GET v3 symbols for an exchange (e.g. binance). Payload may be empty on some plans — use known TradingView symbols (e.g. BINANCE:BTCUSDT.P) from docs instead of relying on this list. |
Resolution: v2 chart requests use CHART_IMG_MAX_WIDTH / CHART_IMG_MAX_HEIGHT (default 800×600) to clamp width/height before calling the API, avoiding HTTP 403 when the plan’s max resolution is exceeded. When clamping happens, the JSON response includes _chartimgMcp.dimensionClamps.
Optional v2 headers: tradingviewSessionId + tradingviewSessionIdSign for TradingView subscription data (see CHART-IMG docs).
If CHART_IMG_API_KEY is unset, only chartimg_tools_disabled is registered with a short hint.
Auth (per CHART-IMG)
- v1:
Authorization: Bearer <key>(this server uses the header). - v2 / v3:
x-api-key: <key>.
Limits
Rate limits, max image dimensions, and storage TTL depend on your CHART-IMG plan — see Request limits in the official docs.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.