Felt (Collaborative Maps) MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Add Elements, Create Layer, Create Map, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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 elements on Felt (Collaborative Maps)
Add elements to a Felt layer
Create layer on Felt (Collaborative Maps)
Supports GeoJSON, CSV, KML, Shapefiles, etc. Create a layer (Upload Data) to a Felt map
Create map on Felt (Collaborative Maps)
Create a new Felt map
Delete element on Felt (Collaborative Maps)
Delete a Felt element
Delete layer on Felt (Collaborative Maps)
Delete a Felt layer
Delete map on Felt (Collaborative Maps)
Delete a Felt map
Get layer on Felt (Collaborative Maps)
Get details for a specific Felt layer
Get map on Felt (Collaborative Maps)
Get details for a specific Felt map
List maps on Felt (Collaborative Maps)
List Felt maps
Update element on Felt (Collaborative Maps)
Update a Felt element
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.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Felt (Collaborative Maps) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Felt (Collaborative Maps) tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Felt (Collaborative Maps), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Felt (Collaborative Maps) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Felt (Collaborative Maps) on a cron and store results in your database automatically
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.
"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 Mastra AI
Common issues when connecting Felt (Collaborative Maps) to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFelt (Collaborative Maps) + Mastra AI FAQ
Common questions about integrating Felt (Collaborative Maps) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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