Felt (Collaborative Maps) MCP Server for CursorGive Cursor instant access to 11 tools to Add Elements, Create Layer, Create Map, and more

Name: Felt (Collaborative Maps)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Ask AI about this MCP Server for Cursor

Open in ChatGPT Open in Claude Open in Perplexity

The Felt (Collaborative Maps) MCP Server for Cursor is a standout in the Collaboration category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "felt-collaborative-maps": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Felt (Collaborative Maps) and 4,000+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Felt (Collaborative Maps) MCP Server

Connect Felt to your AI agent to take full control of your collaborative mapping workflows through natural conversation. This server allows you to manage maps, layers, and geographic elements without leaving your workspace.

Cursor's Agent mode turns Felt (Collaborative Maps) into an in-editor superpower. Ask Cursor to generate code using live data from Felt (Collaborative Maps) and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Map Management — List all accessible maps, create new ones with specific viewports, and retrieve detailed metadata or delete maps.
Data Uploads & Layers — Create layers by uploading geographic data (GeoJSON, CSV, KML) via public URLs and monitor their processing status.
Dynamic Styling — Update layer names and apply complex visual styles using the Felt Style Object (FSO) programmatically.
Element Manipulation — Add, update, or delete specific geographic features like points, lines, and polygons within your map layers.
Spatial Analysis Context — Fetch map and layer details to provide your AI with the necessary context for spatial reasoning.

The Felt (Collaborative Maps) MCP Server exposes 11 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Felt (Collaborative Maps) tools available for Cursor

When Cursor connects to Felt (Collaborative Maps) through Vinkius, your AI agent gets direct access to every tool listed below — spanning gis, mapping, spatial-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add elements on Felt (Collaborative Maps)

Add elements to a Felt layer

create

Create layer on Felt (Collaborative Maps)

Supports GeoJSON, CSV, KML, Shapefiles, etc. Create a layer (Upload Data) to a Felt map

create

Create map on Felt (Collaborative Maps)

Create a new Felt map

delete

Delete element on Felt (Collaborative Maps)

Delete a Felt element

delete

Delete layer on Felt (Collaborative Maps)

Delete a Felt layer

delete

Delete map on Felt (Collaborative Maps)

Delete a Felt map

get

Get layer on Felt (Collaborative Maps)

Get details for a specific Felt layer

get

Get map on Felt (Collaborative Maps)

Get details for a specific Felt map

list

List maps on Felt (Collaborative Maps)

List Felt maps

update

Update element on Felt (Collaborative Maps)

Update a Felt element

update

Update layer on Felt (Collaborative Maps)

Update a Felt layer

Connect Felt (Collaborative Maps) to Cursor via MCP

Follow these steps to wire Felt (Collaborative Maps) into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Felt (Collaborative Maps)

Open Agent mode in chat and ask: "Using Felt (Collaborative Maps), help me...". 11 tools available

Why Use Cursor with the Felt (Collaborative Maps) MCP Server

Cursor AI Code Editor provides unique advantages when paired with Felt (Collaborative Maps) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Felt (Collaborative Maps) + Cursor Use Cases

Practical scenarios where Cursor combined with the Felt (Collaborative Maps) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Felt (Collaborative Maps) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Felt (Collaborative Maps) immediately.

"List all my current Felt maps."

"Create a new map titled 'Project Alpha' centered on San Francisco."

"Add a point element to layer `layer_abc` at [ -122.4, 37.8 ]."

Troubleshooting Felt (Collaborative Maps) MCP Server with Cursor

Common issues when connecting Felt (Collaborative Maps) to Cursor through Vinkius, and how to resolve them.

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.

Felt (Collaborative Maps) + Cursor FAQ

Common questions about integrating Felt (Collaborative Maps) MCP Server with Cursor.

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.

Explore More MCP Servers

View all →

SEC EDGAR Full — The Ultimate Free Bloomberg Alternative for AI Agents

13 tools

The definitive SEC EDGAR Mega-Server: 13 tools spanning company lookup (8,000+ tickers), all filing types (10-K, 10-Q, 8-K), insider trading (Form 4), XBRL financial data extraction (revenue, income, assets, EPS), industry-wide comparison frames, and full-text search across every document ...