How to Use the Settlement Value Estimator MCP in AutoGen
Let AutoGen agents debate and calculate settlement values together.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Settlement Value Estimator MCP to AutoGen
Create your Vinkius account to connect Settlement Value Estimator to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Resolve legal math disputes through agent consensus
Single agents often miss critical risks. This MCP introduces `calculate_emv` so your agents can calculate expected monetary values together. A financial agent can run the math while a legal agent reviews the probabilities. They collaborate to find the most realistic case value.
Run agent debates on negotiation boundaries
Setting a walkaway point doesn't have to be a guessing game. Use `derive_negotiation_surfaces` to establish your BATNA and ZOPA boundaries. Your AutoGen agents can debate these boundaries in real time. One agent pushes for an aggressive settlement while another defends the baseline.
Stress test litigation risks with AutoGen
Small shifts in court probabilities can ruin a settlement plan. Run `perform_risk_sensitivity_analysis` to model different risk profiles. Agents use these simulations to stress test their strategies. You get a final recommendation that has survived rigorous debate.
Set up Settlement Value Estimator 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Settlement Value Estimator tools and returns structured results.
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="Settlement Value Estimator_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Settlement Value Estimator data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Settlement Value Estimator_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Settlement Value Estimator data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Settlement Value Estimator. 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 Settlement Value Estimator MCP in AutoGen
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