How to Use the Raven Tools MCP in AutoGen
Enable agent debate in AutoGen by using Raven Tools to provide competing SEO data for your decision-making agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Raven Tools MCP to AutoGen
Create your Vinkius account to connect Raven Tools to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Debate SEO strategy in AutoGen
Have one agent pull data via `list_keywords` while another analyzes the results. They can deliberate on which keywords to focus on based on the returned ranks. This setup forces your agents to reach a consensus before acting. It prevents impulsive decisions by requiring verification against the latest `get_rank` data.
Verify site audits in AutoGen
Assign a security agent to check `get_site_audit` results for critical issues. A second agent can then negotiate how to prioritize the fixes. This multi-agent process ensures that every technical SEO task is reviewed. It adds a layer of human-like oversight to your automated site maintenance.
Manage competitor data in AutoGen
Use `list_competitors` to feed rival data into your agent conversation. Agents compare these metrics to your own performance to decide if you need to add new keywords. Your agents challenge each other to justify tactical shifts. They use `add_competitor` only after confirming it aligns with the current project goals.
Set up Raven Tools 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 Raven Tools 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="Raven Tools_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Raven Tools 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="Raven Tools_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Raven Tools 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 Raven Tools. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Raven Tools MCP in AutoGen
Use it with your favorite AI tools
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