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Vinkius

Felt (Collaborative Maps) Connector for AI agents.

11 live capabilities

Manage collaborative maps and spatial data through natural conversation.

Live agent request Felt (Collaborative Maps) / Connector

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AI Agent

Why people use Felt (Collaborative Maps)

Felt for GIS and Spatial Data Management

With this Connector, you just tell your agent to upload the data and style it. It handles the API calls and style objects for you, giving you a finished map in seconds.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a voice-controlled interface for managing complex geographic data.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Updating field data

    A researcher has new coordinates from a site visit.

  2. Real-world use case 02

    Rapid prototyping

    A planner needs a new view of a neighborhood.

  3. Real-world use case 03

    Data cleaning

    An analyst needs to remove old points from a dataset.

Complete set · 11capabilities

The complete Felt (Collaborative Maps) capability set.

These are the exact actions your AI can choose when you ask it to work with Felt (Collaborative Maps).

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through Felt (Collaborative Maps).

  1. 01 Capability

    Create layer

    Create a new layer by uploading data types like GeoJSON, CSV, or KML. This makes it easy to bring external datasets into your map.

  2. 02 Capability

    Delete element

    Remove a specific geographic feature from an existing map layer. Use this to clean up points or lines that are no longer relevant.

  3. 03 Capability

    Delete layer

    Permanently remove a layer from your map. This helps keep your workspace organized by getting rid of old data.

  4. 04 Capability

    Delete map

    Delete an entire map from your collection. Use this when you are finished with a project and want to clear your dashboard.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through Felt (Collaborative Maps).

  1. 05 Capability

    Get layer

    Pull specific details and metadata for a single map layer. This provides the context needed for your agent to understand specific data points.

  2. 06 Capability

    Get map

    Retrieve the full details and metadata for a specific map. It lets your agent know the exact scope and boundaries of your current project.

  3. 07 Capability

    List maps

    Get a complete list of all maps available in your account. You can quickly see every project you have active at once.

  4. 08 Capability

    Update element

    Modify the properties of a specific geographic feature. This allows you to change the details of a point or line without recreating it.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through Felt (Collaborative Maps).

  1. 09 Capability

    Update layer

    Change the name or visual style of an existing layer. You can apply complex styles programmatically to change how data looks.

  2. 10 Capability

    Create map

    Generate a brand new map within your Felt account. You can set specific viewports to start your project in the right place.

  3. 11 Capability

    Add elements

    Insert new points, lines, or polygons into a map layer. This is the fastest way to populate your map with new geographic data.

Set up in minutes

One URL. Then ask Felt (Collaborative Maps) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Felt (Collaborative Maps) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_uEA3uCm62J6X4qOlPXCYtzQ5GgmnFZvYo8P4r3S8/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Felt (Collaborative Maps), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Felt (Collaborative Maps) for the conversation.

Where the request belongs

Work Felt can move forward.

Built around the request

GIS analysts and urban planners who need to move data from a spreadsheet to a visual map without manual clicking.

01

GIS Analyst

Updates map layers and styles as new data arrives from field teams on a Tuesday afternoon.

02

Urban Planner

Manages collaborative project maps and updates infrastructure elements as site plans evolve.

03

Logistics Coordinator

Visualizes routes and service areas by adding new elements to shared maps as delivery zones change.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
OpenStreetMap logo
01 33 capabilities

OpenStreetMap

Access and edit OpenStreetMap data. manage changesets, query map elements, and retrieve geospatial data directly from any AI agent.

View Connector
Mapbox logo
02 27 capabilities

Mapbox

Integrate Mapbox mapping and location services into your AI agent—access vector/raster tiles, static images, directions, and manage datasets.

View Connector
ArcGIS logo
03 6 capabilities

ArcGIS

Access GIS services via ArcGIS. geocode addresses, search places, get routes, check elevation and discover basemap styles from any AI agent.

View Connector
CARTO logo
04 10 capabilities

CARTO

Empower your AI agents to execute spatial SQL, generate routes, create driving isolines, and bulk geocode directly on CARTO.

View Connector
Overpass logo
05 4 capabilities

Overpass

Access OpenStreetMap data via Overpass API. execute complex spatial queries, fetch raw map data, and monitor API status.

View Connector
Nearmap (High-Res Aerial Imagery & AI) logo
06 10 capabilities

Nearmap (High-Res Aerial Imagery & AI)

Manage geospatial data via Nearmap. retrieve high-res aerial imagery, extract AI features, and audit survey coverage.

View Connector

Bring your own AI

Change the model, client or framework. Keep Felt connected.

  • Claude
  • ChatGPT
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  • Cursor
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Before you connect

Questions about Felt.

The practical details behind the request, access and result.

Can the Felt MCP upload my data files?

Yes, you can have your agent upload data types like GeoJSON, CSV, and KML directly from public URLs into your map layers.

How do I change the style of a layer using this?

You can simply describe the style you want to your AI client, and it will use the update_layer capability to apply those visual changes.

Can I use this to manage multiple maps at once?

Yes, you can list all your maps, create new ones, or delete old projects using natural language commands.

Does this work for urban planning projects?

It is perfect for urban planning. You can manage project maps, update infrastructure elements, and share them with your team.

How does the AI know which map to edit?

The agent can list your maps to see what's available or you can specify the map name in your request.

Can I delete old data from my maps?

You can ask your agent to remove specific points, lines, or entire layers to keep your maps clean and up to date.

Can I upload my own geographic data files to a map?

Yes! Use the create_layer capability by providing a public URL to your GeoJSON, CSV, or KML file. The server will initiate the upload and processing into your specified Felt map.

How do I add a specific point or shape to an existing layer?

You can use the add_elements capability. Simply provide the layer_id and a JSON array of GeoJSON features (points, lines, or polygons) you want to add to that layer.

Is it possible to change the visual style of a map layer?

Yes. Use the update_layer capability and provide a 'Felt Style Object' (FSO) in the style parameter to programmatically change colors, icons, or visibility rules.

One connection away

Give your agent a direct line to Felt.

Connect Felt once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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