MCP server

Mapnetwork

io.github.toruproject/mapnetwork-mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Generate styled PNG/SVG map images of places in Japan with 11 customizable color themes.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

3

Token cost

About 702 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http mapnetwork-mcp https://mapnetwork.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mapnetwork-mcp]
url = "https://mapnetwork.app/mcp"

Gemini CLI

{"mcpServers":{"mapnetwork-mcp":{"httpUrl":"https://mapnetwork.app/mcp"}}}

Cursor

{"mcpServers":{"mapnetwork-mcp":{"url":"https://mapnetwork.app/mcp"}}}

VS Code

{"servers":{"mapnetwork-mcp":{"type":"http","url":"https://mapnetwork.app/mcp"}}}

Antigravity

agy mcp add mapnetwork-mcp https://mapnetwork.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"mapnetwork-mcp","server_url":"https://mapnetwork.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mapnetwork-mcp","server_url":"https://mapnetwork.app/mcp"}

Tools

• generate_map ~146 tokens
  Generate a styled map image centered on a single place. Returns a download+link as text, not image bytes. Example: place='Tokyo Station'.
• generate_markers_map ~289 tokens
  Generate a map with multiple pinned locations. Example: markers=[{"label": "Tokyo Tower", "link": "https://www.tokyotower.co.jp/"}, {"label": "Zojoji Temple"}].
• generate_route_map ~267 tokens
  Compute a walking/driving route between two places and generate a map with it overlaid. Both endpoints are pinned automatically — do not also call generate_markers_map for them. Example: from='Tokyo Station', to='Tokyo Tower', mode='walking'.

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