MCP server intelligence profile

MCP Server AntV MCP Server

A Model Context Protocol server that provides AntV visualization library documentation and code examples to AI assistants, supporting G2, G6, and F2 libraries for data visualization workflows

Local OnlyOfficial distributionantvis

1Distribution channel

2Independently observed tools

0Linked remote endpoints

AvailableVersion intelligence

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install @antv/mcp-server-antv from npm

Version 0.1.8 declares 1 executable entrypoint.

npm install --save-exact @antv/mcp-server-antv@0.1.8

npx -y -p @antv/mcp-server-antv@0.1.8 @antv/mcp-server-antv

MCP client configuration example

{
  "mcpServers": {
    "@antv/mcp-server-antv": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "@antv/mcp-server-antv@0.1.8",
        "@antv/mcp-server-antv"
      ]
    }
  }
}

Identity

Canonical slug	`mcp-server-antv-e0fd2bfc`	Deployment	Local Only
Canonical package	npm:@antv/mcp-server-antv	Repository	antvis/mcp-server-antv
First published	—	Latest release	—
Last security verification	Aug 15, 2026	Classification confidence	90%
Publication	Published	Official distribution	Yes

Distributions

Channel	Identifier	Current version	Versions	Source
npm	@antv/mcp-server-antv	`0.1.8`	11	Repository

Current release

Package	Version	Published / observed	Inventory	Security scan
npm@antv/mcp-server-antv	`0.1.8`Current	Sep 5, 2026	2 toolsSucceeded · 0 resources · 0 prompts	Verified clean

Enterprise protection

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Historical evidence and API exports

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Current version evidence

Provenance	artifact_hash_verified	Signature	—
MCP SDK	@modelcontextprotocol/sdk	Artifact SHA-256	`4d6567a0bfd0727458b03e7e9a8e23167b3e3a277743eb9d4a8993c9e1badd69`
Scanner	mcp-proof-engine 0.1.0	Scan completed	Aug 15, 2026
Security rating	32 / 100	Methodology	version-rating-1.0

Executable entrypoints

[
  "@antv/mcp-server-antv"
]

Rating reasons

[
  "security_policy_not_observed"
]

0Proven

317Clean

0Inconclusive

0Flaky

0Errors

Current protocol inventory

2025-06-18Negotiated protocol

mcp-server-antvServer-reported name

1Capability groups

Aug 14, 2026Observed

Tools 2

Tool	Category	Annotations	Risk
extract_antv_topicAntV Intelligent Assistant Preprocessing Tool - Specifically designed to handle any user queries related to AntV visualization libraries. This tool is the first step in processing AntV technology stack issues, responsible for intelligently identifying, parsing, and structuring user visualization requirements. MANDATORY: Must be called for ANY new AntV-related queries, including simple questions. Always precedes query_antv_document tool. When to use this tool: - AntV-related queries: Questions about g2/g6/l7/x6/f2/s2/g/ava/adc libraries. - Visualization tasks: Creating charts, graphs, maps, or other visualizations. - Problem solving: Debugging errors, performance issues, or compatibility problems. - Learning & implementation: Understanding concepts or requesting code examples. Key features: - Smart Library Detection: Scans installed AntV libraries and recommends the best fit based on query and project dependencies. - Topic & Intent Extraction: Intelligently extracts technical topics and determines user intent (implement/solve). - Task Complexity Handling: Detects complex tasks and decomposes them into manageable subtasks. - Seamless Integration: Prepares structured data for the query_antv_document tool to provide precise solutions. Input schema { "type": "object", "properties": { "query": { "type": "string", "minLength": 1, "description": "User specific question or requirement description" }, "library": { "type": "string", "enum": [ "g2", "g6", "l7", "x6", "f2", "s2", "g", "ava", "adc" ], "description": "AntV library name (optional) - If not specified, tool will automatically detect project dependencies and intelligently recommend" }, "maxTopics": { "type": "integer", "minimum": 3, "maximum": 8, "default": 5, "description": "Maximum number of extracted topic keywords, default 5, can be increased appropriately for complex tasks" } }, "required": [ "query" ], "additionalProperties": false, "$schema": "http://json-schema.org/draft-07/schema#" }	—		—
query_antv_documentAntV 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. 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. When to use this tool: - Implementation & Optimization: To implement new features, modify styles, refactor code, or optimize performance in AntV solutions. - Debugging & Problem Solving: For troubleshooting errors, unexpected behaviors, or technical challenges in AntV projects. - Learning & Best Practices: To explore official documentation, code examples, design patterns, or advanced features. - Complex Task Handling: For multi-step tasks requiring subtask decomposition (e.g., "Build a dashboard with interactive charts"). - Simple modifications: Even basic changes like "Change the chart's color" or "Update legend position" in AntV context. Input 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" }, "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." }, "tokens": { "type": "integer", "minimum": 1000, "maximum": 20000, "default": 5000, "description": "tokens for returned content" }, "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" ], "additionalProperties": false }, "description": "Decomposed subtask list for complex tasks, supports batch processing" }, "channel": { "type": "string", "enum": [ "Context7", "DeepWiki" ], "default": "Context7", "description": "Controls the trade-off between search speed and retrieval accuracy. Use \"Context7\" (Default) for quick, interactive responses (~2s latency). Use \"DeepWiki\" ONLY when the user explicitly requests \"deep research\", \"high accuracy\", \"comprehensive analysis\", or when the query is critical and requires verification, despite the slower speed (~20s latency)." } }, "required": [ "library", "query", "topic", "intent" ], "additionalProperties": false, "$schema": "http://json-schema.org/draft-07/schema#" }	—		—

Tool

Category

Annotations

Risk

extract_antv_topicAntV Intelligent Assistant Preprocessing Tool - Specifically designed to handle any user queries related to AntV visualization libraries. This tool is the first step in processing AntV technology stack issues, responsible for intelligently identifying, parsing, and structuring user visualization requirements. **MANDATORY: Must be called for ANY new AntV-related queries, including simple questions. Always precedes query_antv_document tool.** When to use this tool: - **AntV-related queries**: Questions about g2/g6/l7/x6/f2/s2/g/ava/adc libraries. - **Visualization tasks**: Creating charts, graphs, maps, or other visualizations. - **Problem solving**: Debugging errors, performance issues, or compatibility problems. - **Learning & implementation**: Understanding concepts or requesting code examples. Key features: - **Smart Library Detection**: Scans installed AntV libraries and recommends the best fit based on query and project dependencies. - **Topic & Intent Extraction**: Intelligently extracts technical topics and determines user intent (implement/solve). - **Task Complexity Handling**: Detects complex tasks and decomposes them into manageable subtasks. - **Seamless Integration**: Prepares structured data for the query_antv_document tool to provide precise solutions.

Input schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "User specific question or requirement description"
    },
    "library": {
      "type": "string",
      "enum": [
        "g2",
        "g6",
        "l7",
        "x6",
        "f2",
        "s2",
        "g",
        "ava",
        "adc"
      ],
      "description": "AntV library name (optional) - If not specified, tool will automatically detect project dependencies and intelligently recommend"
    },
    "maxTopics": {
      "type": "integer",
      "minimum": 3,
      "maximum": 8,
      "default": 5,
      "description": "Maximum number of extracted topic keywords, default 5, can be increased appropriately for complex tasks"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

—

query_antv_documentAntV 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. **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.** When to use this tool: - **Implementation & Optimization**: To implement new features, modify styles, refactor code, or optimize performance in AntV solutions. - **Debugging & Problem Solving**: For troubleshooting errors, unexpected behaviors, or technical challenges in AntV projects. - **Learning & Best Practices**: To explore official documentation, code examples, design patterns, or advanced features. - **Complex Task Handling**: For multi-step tasks requiring subtask decomposition (e.g., "Build a dashboard with interactive charts"). - **Simple modifications**: Even basic changes like "Change the chart's color" or "Update legend position" in AntV context.

Input 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"
    },
    "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."
    },
    "tokens": {
      "type": "integer",
      "minimum": 1000,
      "maximum": 20000,
      "default": 5000,
      "description": "tokens for returned content"
    },
    "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"
        ],
        "additionalProperties": false
      },
      "description": "Decomposed subtask list for complex tasks, supports batch processing"
    },
    "channel": {
      "type": "string",
      "enum": [
        "Context7",
        "DeepWiki"
      ],
      "default": "Context7",
      "description": "Controls the trade-off between search speed and retrieval accuracy. Use \"Context7\" (Default) for quick, interactive responses (~2s latency). Use \"DeepWiki\" ONLY when the user explicitly requests \"deep research\", \"high accuracy\", \"comprehensive analysis\", or when the query is critical and requires verification, despite the slower speed (~20s latency)."
    }
  },
  "required": [
    "library",
    "query",
    "topic",
    "intent"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

—

Resources 0

None observed.

Resource templates 0

None observed.

Prompts 0

None observed.

Remote endpoints

Endpoint	Transport	Authentication	Health	Observed
No verified remote endpoint is linked.

MCP Server AntV MCP Server questions

How do I install MCP Server AntV MCP Server?

Install the selected package version with: npm install --save-exact @antv/mcp-server-antv@0.1.8

What tools does MCP Server AntV MCP Server provide?

MCP Server AntV MCP Server exposed 2 tools during independent protocol observation, including extract_antv_topic, query_antv_document.

Is MCP Server AntV MCP Server secure?

Our scanner tested version 0.1.8 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.

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