How to Use the Bidsketch MCP in AutoGen

Q: How do I register Bidsketch tools in AutoGen?

Install the extension using pip install -U autogen-extmcp. Use the mcpservertools function with your Vinkius URL to pass the MCP tools directly to your AssistantAgent.

Q: Can AutoGen agents negotiate pricing on a Bidsketch proposal?

Yes. One agent can act as the salesperson using listfees to check rates, while another acts as the client to negotiate the total before running updateproposal.

Q: How do agents handle Bidsketch template selection in AutoGen?

The writer agent calls listtemplates to view available layouts. It then discusses the options with the design agent to select the best match for the client's industry.

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Connect Bidsketch MCP to AutoGen

Create your Vinkius account to connect Bidsketch 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 Bidsketch with AutoGen

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Multi-Agent Reviews via MCP Server

This MCP Server exposes `get_proposal` and `update_proposal` to let your AutoGen agents collaborate on document drafts. A writer agent drafts the pitch, while a reviewer agent checks it for errors. This team setup ensures you never send a sloppy pitch. The agents negotiate changes and update the draft only when they both agree the terms are correct.

Automated Client Onboarding

The `create_client` and `list_clients` tools let an onboarding agent register new accounts during a conversation. If a customer agrees to a deal in chat, the agent sets up their profile instantly. Another agent can immediately call `create_proposal` to generate the contract using this MCP. This handoff happens in seconds, keeping your sales pipeline moving without manual data entry.

Collaborative Pricing Audits

The `list_fees` and `list_templates` tools let your agents verify pricing before finalizing any paperwork. A finance agent checks the fees against your company guidelines to prevent undercharging. If the fees look wrong, the finance agent flags the issue to the writer agent. They work together to adjust the numbers before the proposal goes out to the client.

Setup guide

Set up Bidsketch 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 Bidsketch 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="Bidsketch_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Bidsketch 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="Bidsketch_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Bidsketch 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 Bidsketch. 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.

Why Choose Vinkius

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Common questions about Bidsketch MCP in AutoGen

Install the extension using pip install -U autogen-ext[mcp]. Use the mcp_server_tools function with your Vinkius URL to pass the MCP tools directly to your AssistantAgent.

Yes. One agent can act as the salesperson using `list_fees` to check rates, while another acts as the client to negotiate the total before running `update_proposal`.

The writer agent calls `list_templates` to view available layouts. It then discusses the options with the design agent to select the best match for the client's industry.

Yes, the MCP server handles parallel requests. Multiple agent conversations can read and write proposal data simultaneously without conflicts.

All tool calls containing fee rates and client details run through a zero-trust sandbox. The raw API tokens are stored securely in Vinkius, never exposed in your agent code.

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