Skip to main content
Glama

MCP Server AntV

Official
by antvis
query_antv_document.json2.88 kB
{ "name": "query_antv_document", "description": "AntV Context Retrieval Assistant - Fetches relevant documentation, code examples, and best practices from official AntV resources. Supports g2, g6, l7, x6, f2, s2, g, ava, adc libraries, and handles subtasks iterative queries.\n\n**MANDATORY: Must be called for ANY AntV-related query (g2, g6, l7, x6, f2, s2, g, ava, adc), regardless of task complexity. No exceptions for simple tasks.**\n\nWhen to use this tool:\n- **Implementation & Optimization**: To implement new features, modify styles, refactor code, or optimize performance in AntV solutions.\n- **Debugging & Problem Solving**: For troubleshooting errors, unexpected behaviors, or technical challenges in AntV projects.\n- **Learning & Best Practices**: To explore official documentation, code examples, design patterns, or advanced features.\n- **Complex Task Handling**: For multi-step tasks requiring subtask decomposition (e.g., \"Build a dashboard with interactive charts\").\n- **Simple modifications**: Even basic changes like \"Change the chart's color\" or \"Update legend position\" in AntV context.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "library": { "type": "string", "enum": ["g2", "g6", "l7", "x6", "f2", "s2", "g", "ava", "adc"], "description": "Specified AntV library type, intelligently identified based on user query" }, "query": { "type": "string", "minLength": 1, "description": "User specific question or requirement description" }, "tokens": { "type": "integer", "minimum": 1000, "maximum": 20000, "default": 5000, "description": "tokens for returned content" }, "topic": { "type": "string", "minLength": 1, "description": "Technical topic keywords (comma-separated). Provided by `extract_antv_topic` or directly extracted from simple questions." }, "intent": { "type": "string", "minLength": 1, "description": "Extracted user intent, provided by extract_antv_topic tool or directly extracted from simple questions." }, "subTasks": { "type": "array", "items": { "type": "object", "properties": { "query": { "type": "string", "minLength": 1, "description": "Subtask query" }, "topic": { "type": "string", "minLength": 1, "description": "Subtask topic" } }, "required": ["query", "topic"] }, "description": "Decomposed subtask list for complex tasks, supports batch processing" } }, "required": ["library", "query", "topic", "intent"] } }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/antvis/mcp-server-antv'

If you have feedback or need assistance with the MCP directory API, please join our Discord server