Skip to main content
mcpSource-backed

AntV MCP Server Chart

Visualization MCP server for generating charts, diagrams, maps, graphs, spreadsheets, and data-analysis visuals with AntV.

by AntV · submitted by oktofeesh1·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/antvis/mcp-server-chart/blob/main/README.md, https://github.com/antvis/mcp-server-chart
Brand
AntV MCP Server Chart
Brand domain
github.com
Safety notes
AntV MCP Server Chart can generate visual outputs from provided data, so review charts before using them in reports, dashboards, or customer-facing material., Geographic visualization tools may depend on external map services and have regional limitations described by the upstream project., Disable unsupported or unwanted chart tools with `DISABLED_TOOLS` when an MCP client has compatibility issues or a workflow should expose fewer visualization actions., Use private rendering infrastructure through `VIS_REQUEST_SERVER` when sensitive datasets should not be sent to the default chart generation service.
Privacy notes
Chart data, labels, prompts, generated images, service identifiers, and rendering requests may contain business metrics, personal data, locations, or customer information., Default chart rendering can involve AntV-hosted services; review data sensitivity before sending private datasets., Protect custom rendering endpoints, service identifiers, and any generated record links in client configs, logs, screenshots, and shared prompts.
Author
AntV
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-05

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

5 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

4 prerequisites to line up before setup.

0/4 ready
Install & runtime1General35 minutes

Safety & privacy surface

Safety & privacy surface

4 safety and 3 privacy notes across 2 risk areas. Review closely: network access.

2 areas
  • SafetyGeneralAntV MCP Server Chart can generate visual outputs from provided data, so review charts before using them in reports, dashboards, or customer-facing material.
  • SafetyGeneralGeographic visualization tools may depend on external map services and have regional limitations described by the upstream project.
  • SafetyGeneralDisable unsupported or unwanted chart tools with `DISABLED_TOOLS` when an MCP client has compatibility issues or a workflow should expose fewer visualization actions.
  • SafetyNetwork accessUse private rendering infrastructure through `VIS_REQUEST_SERVER` when sensitive datasets should not be sent to the default chart generation service.
  • PrivacyNetwork accessChart data, labels, prompts, generated images, service identifiers, and rendering requests may contain business metrics, personal data, locations, or customer information.
  • PrivacyGeneralDefault chart rendering can involve AntV-hosted services; review data sensitivity before sending private datasets.
  • PrivacyNetwork accessProtect custom rendering endpoints, service identifiers, and any generated record links in client configs, logs, screenshots, and shared prompts.

Safety notes

  • AntV MCP Server Chart can generate visual outputs from provided data, so review charts before using them in reports, dashboards, or customer-facing material.
  • Geographic visualization tools may depend on external map services and have regional limitations described by the upstream project.
  • Disable unsupported or unwanted chart tools with `DISABLED_TOOLS` when an MCP client has compatibility issues or a workflow should expose fewer visualization actions.
  • Use private rendering infrastructure through `VIS_REQUEST_SERVER` when sensitive datasets should not be sent to the default chart generation service.

Privacy notes

  • Chart data, labels, prompts, generated images, service identifiers, and rendering requests may contain business metrics, personal data, locations, or customer information.
  • Default chart rendering can involve AntV-hosted services; review data sensitivity before sending private datasets.
  • Protect custom rendering endpoints, service identifiers, and any generated record links in client configs, logs, screenshots, and shared prompts.

Prerequisites

  • Node.js and npm available to the MCP client runtime.
  • Structured data or a clear visualization request.
  • Optional private chart rendering service if default remote rendering is not appropriate for the data.
  • Optional tool filtering plan for chart types that should not be exposed to a given agent workflow.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
5 minutes
Difficulty
beginner
Full copyable content
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

About this resource

Content

AntV MCP Server Chart gives MCP clients chart and diagram generation tools powered by AntV. It supports common statistical charts, flow diagrams, mind maps, organization charts, network graphs, geographic maps, word clouds, spreadsheets, and pivot-style tabular views.

The upstream README describes stdio usage through the @antv/mcp-server-chart npm package, plus SSE and Streamable HTTP transports for remote deployments. It also documents tool filtering, optional record generation, and private rendering through a custom visualization request server.

Source Review

These sources were reviewed on 2026-06-05. Prefer the live repository and registry metadata for current chart tools, package version, transport options, environment variables, and private deployment guidance.

Features

  • Stdio MCP server through the @antv/mcp-server-chart npm package.
  • SSE and Streamable HTTP transport options for deployed MCP endpoints.
  • Area, bar, boxplot, column, dual-axis, funnel, histogram, line, liquid, pie, radar, sankey, scatter, treemap, venn, violin, and word-cloud charts.
  • Flowchart, fishbone, mind-map, network, and organization diagrams.
  • District, path, and pin map generation with the upstream regional limitation.
  • Spreadsheet and pivot-table style output.
  • Tool filtering through DISABLED_TOOLS.
  • Optional private rendering service through VIS_REQUEST_SERVER.

Installation

For stdio MCP clients:

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

For remote deployments, run the server with SSE or Streamable HTTP transport and configure the MCP client with your deployed HTTPS endpoint. Keep the endpoint behind the same access controls you would use for any service that receives private chart data.

Use Cases

  • Turn tabular data into a quick line, bar, pie, scatter, or radar chart.
  • Generate flowcharts, mind maps, fishbone diagrams, or organization charts from structured prompts.
  • Create visual drafts for reports, notebooks, and dashboards.
  • Use tool filtering to expose only approved chart types to a given agent.
  • Route sensitive chart rendering to a private visualization service.

Safety and Privacy

Generated charts can make data look more certain than it is. Review chart type, axis labels, units, aggregation, outliers, and source data before using outputs in decisions or public materials.

Treat chart inputs and generated visuals as sensitive when they include business metrics, personal data, customer records, locations, or unreleased plans. Use a private rendering service when default remote rendering is not appropriate for the dataset.

Duplicate Check

No antvis/mcp-server-chart entry, @antv/mcp-server-chart package entry, or matching source URL was found in content/mcp. This is distinct from browser, database, and research MCP servers because it focuses specifically on chart and diagram generation.

Source citations

Add this badge to your README

Show that AntV MCP Server Chart is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.

Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/mcp/antv-mcp-server-chart.svg)](https://heyclau.de/entry/mcp/antv-mcp-server-chart)

How it compares

AntV MCP Server Chart side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Visualization MCP server for generating charts, diagrams, maps, graphs, spreadsheets, and data-analysis visuals with AntV.

Open dossier

MCP server for controlling Draw.io and diagrams.net diagrams from Claude, including document discovery, page management, layers, shapes, edges, Mermaid import, diagram import/export, and a built-in editor mode.

Open dossier

MCP server and live Excalidraw canvas toolkit that lets Claude create, inspect, update, export, snapshot, and iteratively refine diagrams.

Open dossier

MCP server and CLI for AI image and video generation with gallery search, prompt enhancement, model listing, local preferences, ComfyUI workflows, MeiGen Cloud, and OpenAI-compatible provider support.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandDraw.io MCP Server logoDraw.io MCP ServerMeiGen AI Design MCP logoMeiGen AI Design MCP
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorAntVLukas GazoyctimlinMeiGen
Added2026-06-052026-06-062026-06-052026-06-06
Platforms
Harness
Source repo
Safety notesAntV MCP Server Chart can generate visual outputs from provided data, so review charts before using them in reports, dashboards, or customer-facing material. Geographic visualization tools may depend on external map services and have regional limitations described by the upstream project. Disable unsupported or unwanted chart tools with `DISABLED_TOOLS` when an MCP client has compatibility issues or a workflow should expose fewer visualization actions. Use private rendering infrastructure through `VIS_REQUEST_SERVER` when sensitive datasets should not be sent to the default chart generation service.Draw.io MCP Server can create, edit, delete, import, export, rename, copy, and reorganize diagram pages, layers, shapes, edges, labels, metadata, and Mermaid-derived content. Live operations target connected Draw.io browser tabs or the built-in editor; verify the selected document and page before allowing destructive edits. The server can run local HTTP and WebSocket endpoints, optionally with TLS or auto-generated self-signed certificates; avoid binding it to untrusted network interfaces. Browser-extension mode links a browser tab to the MCP server, so only connect tabs containing diagrams that the agent is allowed to inspect or modify. Export tools can write or return XML, SVG, and PNG files with embedded diagram data; review outputs before sharing them externally. Use trusted package sources, pin versions for repeatable workflows, and review generated diagrams before committing architectural or security documentation.The canvas server has no built-in authentication; keep it bound to localhost unless network access controls are in place. MCP tools can create, update, duplicate, group, delete, clear, import, export, snapshot, and restore diagram content. File import and export should stay inside an approved export directory; review `EXCALIDRAW_EXPORT_DIR` before enabling file workflows. The URL export tool can upload a scene to Excalidraw hosted sharing, so review the scene before sharing. In-memory canvas state can be lost on restart unless diagrams are exported or snapshots are preserved.MeiGen can submit image and video generation jobs to external providers or a local ComfyUI backend. Image and video generation may spend credits, use paid APIs, or consume local GPU resources depending on the configured provider. Local reference images can be compressed and uploaded through the configured upload gateway before being sent to API providers. Video generation can take minutes, may time out at the MCP client, and should not be retried blindly because jobs or credits may already be in progress. ComfyUI workflow import and modification can run local workflows; review workflow JSON and custom nodes before use.
Privacy notesChart data, labels, prompts, generated images, service identifiers, and rendering requests may contain business metrics, personal data, locations, or customer information. Default chart rendering can involve AntV-hosted services; review data sensitivity before sending private datasets. Protect custom rendering endpoints, service identifiers, and any generated record links in client configs, logs, screenshots, and shared prompts.Diagrams can include private architecture, network topology, cloud account names, customer systems, credentials embedded in labels, incident details, internal process maps, or product plans. The MCP client can receive diagram XML, SVG, PNG exports, page names, layer names, selected-cell data, shape metadata, browser tab document metadata, and imported Mermaid content. Local editor and browser-extension workflows may leave diagrams, exported files, browser state, TLS material, and logs on disk. Treat exported SVG or PNG files with embedded XML as source files, because they can contain full editable diagram data beyond the visible image. Clear temporary files, generated certificates, and MCP logs when they are no longer needed for the diagram workflow.Diagrams may reveal infrastructure topology, unreleased product plans, customer names, credentials accidentally included as labels, or incident context. Screenshots, exported images, Excalidraw JSON files, snapshots, and share URLs may be visible to the MCP client, browser, logs, and model provider. Avoid exposing the local REST/WebSocket canvas API to shared networks without authentication or a trusted network boundary. Treat imported diagrams from untrusted sources as prompt-injection and data-exposure risks before asking a model to summarize them.API tokens, OpenAI-compatible credentials, provider base URLs, upload gateway URLs, ComfyUI URLs, preferences, recent generations, prompts, model IDs, and output paths can reveal private creative workflows. Uploaded reference images may become public URLs through the configured upload gateway before generation. Prompts, reference images, generated image URLs, generated video URLs, saved outputs, and favorite prompts can contain client work, brand plans, product images, personal likenesses, or unreleased campaigns. Keep secrets in MCP client environment configuration, review generated media before sharing, and remove local outputs when retention is no longer needed.
Prerequisites
  • Node.js and npm available to the MCP client runtime.
  • Structured data or a clear visualization request.
  • Optional private chart rendering service if default remote rendering is not appropriate for the data.
  • Optional tool filtering plan for chart types that should not be exposed to a given agent workflow.
  • Node.js 22 or newer for the published npm package.
  • An MCP client such as Claude Desktop or Claude Code.
  • A browser for the built-in editor, or the Draw.io MCP browser extension when controlling an existing diagrams.net tab.
  • Review of which diagrams, browser tabs, pages, and export locations Claude is allowed to modify.
  • Node.js 18 or newer and npm for local setup, or Docker for the container path.
  • A running canvas server, started locally with `PORT=3000 npm run canvas` or through the canvas container image.
  • The MCP server configured with `EXPRESS_SERVER_URL` pointing to the canvas server.
  • Browser access to the canvas UI when using screenshot, viewport, or image export workflows.
  • Node.js 18 or newer.
  • MCP client that can launch a local Node stdio server.
  • Optional MeiGen API token, OpenAI-compatible API key, or local ComfyUI workflow configuration for generation tools.
  • Provider pricing, credits, model limits, and content policy reviewed before image or video generation.
Install
npx -y @antv/mcp-server-chart
npx -y drawio-mcp-server --editor
npm ci && npm run build
Run `npx -y meigen` from an MCP client, or use the upstream plugin/init commands after reviewing provider credentials and generated-media costs.
Config
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"],
      "env": {
        "DISABLED_TOOLS": "generate_fishbone_diagram,generate_mind_map"
      }
    }
  }
}
{
  "mcpServers": {
    "drawio": {
      "command": "npx",
      "args": [
        "-y",
        "drawio-mcp-server",
        "--editor"
      ],
      "env": {
        "NPM_CONFIG_IGNORE_SCRIPTS": "true"
      },
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "excalidraw": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "EXPRESS_SERVER_URL=LOCAL_CANVAS_URL",
        "-e", "ENABLE_CANVAS_SYNC=true",
        "ghcr.io/yctimlin/mcp_excalidraw:latest"
      ]
    }
  }
}
{
  "mcpServers": {
    "meigen": {
      "command": "npx",
      "args": ["-y", "meigen"],
      "env": {
        "MEIGEN_API_TOKEN": "{meigen-api-token}"
      }
    }
  }
}
Citations
ClaimUnclaimedUnclaimedUnclaimedUnclaimed
Open 4 picks in the interactive comparison tool

Signals

Loading live community signals…

More like this, weekly

A short, calm digest of reviewed Claude resources. Unsubscribe any time.