Felt (Collaborative Maps) MCP Server for Vercel AI SDKGive Vercel AI SDK 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

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Felt (Collaborative Maps) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Felt (Collaborative Maps), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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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.

The Vercel AI SDK gives every Felt (Collaborative Maps) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 11 tools from Felt (Collaborative Maps) and passes them to the LLM

Why Use Vercel AI SDK with the Felt (Collaborative Maps) MCP Server

Vercel AI SDK provides unique advantages when paired with Felt (Collaborative Maps) through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Felt (Collaborative Maps) integration everywhere

Built-in streaming UI primitives let you display Felt (Collaborative Maps) tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Felt (Collaborative Maps) + Vercel AI SDK Use Cases

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

AI-powered web apps: build dashboards that query Felt (Collaborative Maps) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Felt (Collaborative Maps) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Felt (Collaborative Maps) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Felt (Collaborative Maps) through natural language queries

Example Prompts for Felt (Collaborative Maps) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Felt (Collaborative Maps) + Vercel AI SDK FAQ

Common questions about integrating Felt (Collaborative Maps) MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.