Bring Geospatial Ai
to Cursor
Learn how to connect Mapflow to Cursor and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Mapflow MCP Server?
Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.
What you can do
- Project Management — Create and manage mapping projects
- Image Processing — Trigger AI models on satellite and drone imagery
- Task Tracking — Monitor processing status and completion
- Dataset Browsing — Access generated vector datasets and polygons
- Model Management — Browse available AI models (buildings, roads, forests)
How it works
1. Subscribe to this server
2. Enter your Mapflow API Key
3. Start processing geospatial data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- GIS Specialists — extract vector data from imagery automatically
- Urban Planners — map buildings and infrastructure
- Environmentalists — monitor forests and land use
Built-in capabilities (7)
Pass data as a JSON string. Start a new imagery analysis
Pass data as a JSON string. Create a new project
Get processing result data
Check status of a processing job
List available geospatial AI models
List all geospatial processings
List all MapFlow projects
Why Cursor?
Cursor's Agent mode turns Mapflow into an in-editor superpower. Ask Cursor to generate code using live data from Mapflow and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Mapflow in Cursor
Mapflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Mapflow to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Mapflow in Cursor
The Mapflow MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Mapflow for Cursor
Every tool call from Cursor to the Mapflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I process satellite imagery and extract vector data?
Yes. Trigger AI models on imagery to automatically extract buildings, roads, forests, and other features as vector polygons.
How does Mapflow authentication work?
Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.
Can I track processing tasks?
Yes. Monitor processing status, progress percentages, and access completion datasets when ready.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
Can Cursor use MCP tools in inline edits?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.