Felt (Collaborative Maps) MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Felt (Collaborative Maps) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Felt (Collaborative Maps) MCP Server for OpenAI Agents SDK 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

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Felt (Collaborative Maps) Assistant",
            instructions=(
                "You help users interact with Felt (Collaborative Maps). "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Felt (Collaborative Maps)"
        )
        print(result.final_output)

asyncio.run(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 OpenAI Agents SDK auto-discovers all 11 tools from Felt (Collaborative Maps) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Felt (Collaborative Maps), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Felt (Collaborative Maps)

Why Use OpenAI Agents SDK with the Felt (Collaborative Maps) MCP Server

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

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Felt (Collaborative Maps) + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query Felt (Collaborative Maps), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Felt (Collaborative Maps), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Felt (Collaborative Maps) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Felt (Collaborative Maps) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Felt (Collaborative Maps) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Felt (Collaborative Maps) + OpenAI Agents SDK FAQ

Common questions about integrating Felt (Collaborative Maps) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.