How to Use the Co-Founder Synergy Prover MCP in AutoGen
Let your AutoGen agents debate and audit your vesting schedules using the Co-Founder Synergy Prover.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Co-Founder Synergy Prover MCP to AutoGen
Create your Vinkius account to connect Co-Founder Synergy Prover to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Multi-agent cap table debate via MCP Server
The `validate_co_founder_synergy` tool serves as the objective source of truth when your AutoGen agents debate founder dynamics. A legal agent and a financial agent can pass your partnership parameters into this tool to get an unbiased analysis of vesting risks. The agents use the resulting scores to argue whether a 50/50 split without a cliff is a dealbreaker. By relying on hard math, they reach a consensus based on YC standards instead of polite handshakes.
Resolve deadlock designs in AutoGen conversations
The `validate_co_founder_synergy` tool checks if your team has a clear strategic tie-breaker or if you are set up for a startup-killing deadlock. AutoGen agents query this MCP Server to simulate what happens when founders disagree for more than 48 hours. If the tool flags a lack of domain authority, your agents will debate alternative escalation protocols. They will keep iterating until they generate a structure that passes the tool's strict validation.
Audit skill overlaps and accountability
The `validate_co_founder_synergy` tool detects whether your co-founders have overlapping roles or if there is clear, mutually exclusive accountability. Your AutoGen agents analyze daily activity inputs to ensure one founder builds while the other sells. If both founders are merely "managing," the agents flag this as a critical failure. The system demands specific daily tasks to ensure someone is actually accountable for the output.
Set up Co-Founder Synergy Prover 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 Co-Founder Synergy Prover 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="Co-Founder Synergy Prover_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Co-Founder Synergy Prover 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="Co-Founder Synergy Prover_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Co-Founder Synergy Prover 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 Co-Founder Synergy Prover. 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 Co-Founder Synergy Prover MCP in AutoGen
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