How to Use the Nimble CRM (Social Sales CRM & Contacts API) MCP in AutoGen

Q: How do I configure Nimble CRM (Social Sales CRM & Contacts API) for AutoGen?

Install the autogen-extmcp package. Initialize mcpservertools with your StreamableHttpServerParams and pass the resulting list to your AssistantAgent constructor.

Q: Will the agents know my Nimble account details?

Your system calls the getmyself tool to pull your authenticated profile. The agents use this data to understand the context of the current session.

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Connect Nimble CRM (Social Sales CRM & Contacts API) MCP to AutoGen

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Setup Nimble CRM (Social Sales CRM & Contacts API) with AutoGen

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Multi-agent lead qualification

A data-gathering agent calls `list_contacts` to pull a batch of new leads from Nimble CRM. It hands this raw list to a secondary analyst agent that reviews the basic parameters and decides which leads need further investigation. The analyst agent then executes `get_contact` on the high-potential targets to pull their full social sales history. A third agent reviews this deep data and debates the primary agent on how to score the lead before updating your local database.

Assign CRM actions based on user profiles

Your AutoGen system runs `get_myself` to establish the baseline identity of the current Nimble user. The manager agent reads this profile and determines if the current session has the authority to modify the sales pipeline. The agents use this context to negotiate task delegation. If the profile indicates a junior sales role, the system restricts certain destructive operations and routes approval requests to a human operator instead.

Consensus-driven MCP Server deletions

Your compliance agent proposes removing inactive leads by calling `delete_contacts` on a specific batch of IDs. Before the execution happens, a sales-retention agent challenges the decision and demands a review of recent touchpoints. The agents negotiate the final list based on your system prompts. Once they reach a consensus, the primary actor agent actually fires the deletion tool to permanently scrub the agreed-upon records from Nimble.

Setup guide

Set up Nimble CRM (Social Sales CRM & Contacts API) 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 Nimble CRM (Social Sales CRM & Contacts API) 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="Nimble CRM (Social Sales CRM & Contacts API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Nimble CRM (Social Sales CRM & Contacts API) data")
print(result.messages[-1].content)

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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="Nimble CRM (Social Sales CRM & Contacts API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Nimble CRM (Social Sales CRM & Contacts API) 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 Nimble CRM. 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 Nimble CRM (Social Sales CRM & Contacts API) MCP in AutoGen

Install the autogen-ext[mcp] package. Initialize mcp_server_tools with your StreamableHttpServerParams and pass the resulting list to your AssistantAgent constructor.

Yes. You assign the specific CRM tools to whichever agents need them. One agent can handle fetching contacts while another strictly handles deletions.

You define the rules in your agent prompts. The agents debate the criteria, review the contact history, and only execute the deletion tool when they reach a programmatic consensus.

Your system calls the get_myself tool to pull your authenticated profile. The agents use this data to understand the context of the current session.

They hold the data in memory during the conversation thread. The MCP server operates as a stateless bridge, passing your CRM contacts securely to your local AutoGen environment without logging the payloads.

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