How to Use the Lancerkit MCP in AutoGen

Q: How do I register Lancerkit tools in my AutoGen MCP setup?

Install autogen-extmcp. Pass your URL to mcpservertools using StreamableHttpServerParams. Hand the resulting list directly to your AssistantAgent constructor.

Q: Can multiple AutoGen agents use Lancerkit simultaneously?

Yes. One agent can call listclients while another evaluates listinvoices. They share the context through their conversation history.

Q: Does the Lancerkit MCP adapter handle schema conversion?

Automatically. McpToolAdapter translates the raw JSON from getclient into the exact format your AutoGen agents expect.

Q: How do AutoGen agents handle missing data from a Lancerkit query?

If getproject returns an incomplete record, the agents debate the next step. One might suggest calling listtasks to fill in the blanks before continuing.

Build debating billing agents with Lancerkit and AutoGen.

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Create your Vinkius account to connect Lancerkit 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.

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Setup Lancerkit with AutoGen

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Multi-Agent Invoice Audits

AutoGen agents use `get_invoice` and `list_tasks` to audit your billing cycles through debate. You assign one agent to pull the recorded time logs. You assign a second agent to act as a strict compliance officer. They argue over discrepancies before anything gets sent to the client. The first agent runs `get_time_logs` to count the hours spent. The second agent cross-references that total against `list_services` to verify the billable items match the configured rates. They negotiate the final total. You just approve the consensus.

Project Scope Negotiation

Lancerkit exposes `get_project` directly to your multi-agent conversations. When a client requests a new feature, your performance agent fetches the single project details by ID. A separate risk agent reviews the current workload via `list_projects`. They discuss whether you have the bandwidth to take the job. If the risk agent sees too many active standard projects, it pushes back. You get a fully reasoned recommendation instead of a blind yes or no.

AutoGen MCP Server Setup

Bootstrapping this requires `get_status` to examine the account and integration connection status overall. Your primary assistant agent runs this check before waking up the rest of the swarm. If the connection is dead, the conversation stops immediately. You install `autogen-ext[mcp]`. You use `mcp_server_tools` with standard HTTP transports to fetch the tool list. The `McpToolAdapter` converts the schemas automatically, so you spend zero time writing boilerplate parsing logic.

Setup guide

Set up Lancerkit 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 Lancerkit 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="Lancerkit_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lancerkit data")
print(result.messages[-1].content)

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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="Lancerkit_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lancerkit data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lancerkit. 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 Lancerkit MCP in AutoGen

Install `autogen-ext[mcp]`. Pass your URL to `mcp_server_tools` using `StreamableHttpServerParams`. Hand the resulting list directly to your `AssistantAgent` constructor.

Yes. One agent can call `list_clients` while another evaluates `list_invoices`. They share the context through their conversation history.

Automatically. `McpToolAdapter` translates the raw JSON from `get_client` into the exact format your AutoGen agents expect.

If `get_project` returns an incomplete record, the agents debate the next step. One might suggest calling `list_tasks` to fill in the blanks before continuing.

This MCP Server accesses your recorded time logs and task histories. Vinkius manages this through an ephemeral connection model. Once your AutoGen terminal session closes, the runtime environment is destroyed instantly, leaving no trace of your freelance data.

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