metric-dictionary — TGMCharts MCP Resource
metric-dictionary
is one of 1 resource on the
TGMCharts
MCP server. Connect the server and your client can attach it as context.
by client
How to attach metric-dictionary from your client
- Claude Code TGMCharts Resource/metric-dictionary run in your project directory
- Claude Desktop TGMCharts Resource/metric-dictionary ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor TGMCharts Resource/metric-dictionary ~/.cursor/mcp.json
- VS Code TGMCharts Resource/metric-dictionary .vscode/mcp.json
- Zed TGMCharts Resource/metric-dictionary ~/.config/zed/settings.json
- Windsurf TGMCharts Resource/metric-dictionary ~/.codeium/windsurf/mcp_config.json
- Cline TGMCharts Resource/metric-dictionary ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI TGMCharts Resource/metric-dictionary ~/.gemini/settings.json
- Grok TGMCharts Resource/metric-dictionary .mcp.json (in your project root)
- ChatGPT TGMCharts Resource/metric-dictionary Settings → Connectors → Advanced → Developer mode
- Claude.ai TGMCharts Resource/metric-dictionary Settings → Connectors → Add custom connector
- LangChain TGMCharts Resource/metric-dictionary pip install langchain-mcp-adapters
TGMCharts also offers 3 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 14 November 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.