How to Use the Clipboard History Searcher MCP in AutoGen
Give your AutoGen agents the ability to debate and analyze your exported clipboard data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clipboard History Searcher MCP to AutoGen
Create your Vinkius account to connect Clipboard History Searcher 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.
Feed copied text to AutoGen agents
The `search_clipboard_history` tool gives your Microsoft AutoGen setup direct access to your local clipboard exports. You pass the Vinkius URL into `mcp_server_tools`, and your AssistantAgent can suddenly read your Maccy JSON files. It bridges the gap between your local OS memory and your multi-agent conversation. Agents use this data to inform their decisions. A coding agent might pull a python snippet from your history, while a reviewer agent checks it for errors. They argue over the implementation based on the exact code you copied earlier that day.
Resolve disputes with historical data
Calling `search_clipboard_history` lets agents pull hard evidence into their chat thread. When two agents disagree on an API endpoint format, one can query your Ditto export to see what you actually copied from the documentation. The MCP Server handles the file parsing so the agents just get clean text. This creates a consensus-driven workflow. Instead of guessing, the agents negotiate based on your real-world usage. `McpToolAdapter` converts the tool schema automatically, so you don't write any custom wrapper code.
Secure MCP Server integration
Invoking `search_clipboard_history` happens over a Streamable HTTP connection. Your AutoGen script stays entirely separate from the Vinkius infrastructure. The agents request specific searches, and the server returns the matches without exposing the entire file contents to the LLM context window unnecessarily. You control which agent gets the tool. Assign the search capability to a dedicated researcher agent. It acts as the gatekeeper, fetching copied URLs and formatting them before passing the information to the rest of the group.
Set up Clipboard History Searcher 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 Clipboard History Searcher 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="Clipboard History Searcher_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Clipboard History Searcher 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="Clipboard History Searcher_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Clipboard History Searcher 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 clipboard-native. 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 Clipboard History Searcher MCP in AutoGen
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