How to Use the Grepsr MCP in AutoGen

Q: How do I register the Grepsr MCP Server with AutoGen?

Import mcpservertools from autogen-extmcp and pass the server URL. Register the returned tools with your AssistantAgent constructor.

Q: Can AutoGen agents manage multiple Grepsr projects?

Yes. AutoGen agents use listprojects to coordinate and assign different scraping tasks to specialized worker agents.

Q: How do AutoGen agents handle Grepsr API rate limits?

A dedicated monitoring agent can call getusagestats to track API consumption and pause work when limits are near.

Q: Can an AutoGen agent configure Grepsr delivery targets?

Yes, the agent inspects active destinations using listintegrations and configures webhooks via createwebhook if needed.

Let AutoGen agents debate scraping budgets and coordinate complex web extraction workflows using Grepsr.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Grepsr MCP to AutoGen

Create your Vinkius account to connect Grepsr 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.

GDPR Free for Subscribers

Setup Grepsr with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Grepsr Crawls via AutoGen Agent Debate

`run_report` triggers a live crawl only after your AutoGen agents reach consensus on the data extraction budget. A budget agent checks `get_usage_stats` while a developer agent requests the run. This multi-agent framework ensures you don't run expensive crawls accidentally. The agents debate the necessity of the run based on historical data fetched from `get_report_history`.

Validate Web Scraping Data Integrity Automatically

`get_report_data` fetches raw records so your QA agent can inspect them for errors. If the QA agent finds missing fields, it instructs the crawler agent to adjust settings. AutoGen's conversational architecture lets agents collaborate on data cleaning. One agent pulls the data, another validates it, and a third decides if a rerun is required.

Configure Webhooks via Agent Consensus

`create_webhook` allows your AutoGen security agent to register endpoints once the system administrator agent approves. This MCP Server tool exposes the active configurations so your agents can verify them using `list_webhooks`. This prevents unauthorized data exposure. The security agent audits active destinations via `list_integrations` before allowing any new webhook creation.

Setup guide

Set up Grepsr 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 Grepsr 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="Grepsr_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Connect Grepsr now

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 Grepsr MCP in AutoGen

Import `mcp_server_tools` from `autogen-ext[mcp]` and pass the server URL. Register the returned tools with your `AssistantAgent` constructor.

Yes. AutoGen agents use `list_projects` to coordinate and assign different scraping tasks to specialized worker agents.

A dedicated monitoring agent can call `get_usage_stats` to track API consumption and pause work when limits are near.

Yes, the agent inspects active destinations using `list_integrations` and configures webhooks via `create_webhook` if needed.

Your scraping configurations and API keys are stored securely within Vinkius's zero-trust infrastructure. The server executes in a secure V8 isolate sandbox, preventing cross-tenant access to your credentials.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript