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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Felt (Collaborative Maps) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Felt (Collaborative Maps) MCP Server for Mastra AI 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

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Felt (Collaborative Maps) Agent",
    instructions:
      "You help users interact with Felt (Collaborative Maps) " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Felt (Collaborative Maps)?"
  );
  console.log(result.text);
}

main();
Felt (Collaborative Maps)
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Felt (Collaborative Maps) tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from Felt (Collaborative Maps) via MCP

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

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Felt (Collaborative Maps) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Felt (Collaborative Maps) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Felt (Collaborative Maps) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Felt (Collaborative Maps), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Felt (Collaborative Maps) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Felt (Collaborative Maps) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Felt (Collaborative Maps) tools alongside other MCP servers

Example Prompts for Felt (Collaborative Maps) in Mastra AI

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

01

"List all my current Felt maps."

02

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

03

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

Troubleshooting Felt (Collaborative Maps) MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Felt (Collaborative Maps) + Mastra AI FAQ

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

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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