How to Use the Felt (Collaborative Maps) MCP in AutoGen

Enable multi-agent debate for Felt (Collaborative Maps) projects using AutoGen.

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Connect Felt (Collaborative Maps) MCP to AutoGen

Create your Vinkius account to connect Felt (Collaborative Maps) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Felt (Collaborative Maps) with AutoGen

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ChatGPT

Claude

Perplexity

Debate map changes in AutoGen

Assign one agent to propose a map update and another to verify the geographic constraints. They use `update_element` to negotiate the final position of markers. This prevents errors before they hit the live map. The agents check each other's work, ensuring the data remains clean and accurate.

Collaborative map creation with AutoGen agents

Set up a team of specialized agents to handle map setup. One agent manages `create_map` while another handles the `create_layer` styling parameters. They coordinate to build a fully configured workspace. You get a finished map that meets all your project criteria without individual agent oversight.

Conflict resolution for map elements

If multiple agents try to modify the same layer, they resolve the order of operations before calling `add_elements`. This avoids race conditions and data corruption. The system ensures that only the final, agreed-upon version of your geographic data is pushed to the server.

Setup guide

Set up Felt (Collaborative Maps) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Felt (Collaborative Maps) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Felt (Collaborative Maps)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Felt (Collaborative Maps) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Felt (Collaborative Maps)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Felt (Collaborative Maps) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Felt. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Felt (Collaborative Maps) MCP in AutoGen

Agents communicate through a shared chat history and debate tool usage. They use the provided MCP tools to propose and execute map changes based on their consensus.

Absolutely. You can define a team where each agent has access to the full suite of map tools, allowing for complex, multi-step collaborative workflows.

All tool calls are mediated through the MCP adapter. Your authorization token is kept secure, and agents only interact with the maps you explicitly allow.

If a tool call fails, the agents discuss the error and attempt a fix. They can retry or adjust their arguments until the map operation succeeds.

Your map elements are processed in a zero-trust environment. The server ensures that only authorized agents can access or modify your private geographic records.

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