How to Use the Directus MCP in AutoGen

Q: How do AutoGen agents coordinate Directus database updates?

One agent proposes a modification using patchcmsrecord, while a validator agent checks the target row using getsingleitem to confirm the change is safe.

Q: Can I prevent an AutoGen agent from deleting Directus records?

Yes, you can register a user proxy agent to block calls to wipecmsrecord, requiring manual human approval before any row is dropped from the database.

Q: How do I register Directus MCP Server tools with an AutoGen agent?

Use mcpservertools with your Vinkius HTTP endpoint. Pass the resulting tool list to your AssistantAgent constructor to expose the database capabilities to the group.

Q: How do agents inspect specific column configurations?

The analyst agent calls listcollectionfields on the target collection, sharing the raw array of column settings with the rest of the agent group.

Deploy AutoGen multi-agent teams to debate and execute Directus database operations safely via this MCP Server.

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Connect Directus MCP to AutoGen

Create your Vinkius account to connect Directus 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 Directus with AutoGen

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Coordinate multi-agent Directus MCP Server tasks

Feeding PostgreSQL table structures directly into your AutoGen conversation, the `list_schema_collections` tool lets agents collaborate on database layout. A schema analyst agent uses this tool to map tables, while a database administrator agent reviews the structure before proposing modifications. This multi-agent debate ensures that no structural changes occur without consensus. The agents discuss column configurations retrieved via `list_collection_fields` to verify compatibility.

Review destructive operations through agent consensus

Because the `wipe_cms_record` tool drops live database rows irreversibly, a security agent intercepts this tool call in AutoGen. This safety mechanism demands justification from the requesting agent before allowing the deletion to execute. This safeguard prevents accidental data loss. The agents debate the necessity of the purge, checking alternative records with `get_single_item` before vaporizing any active nodes.

Manage admin users and files via team debate

To identify active admin identities across your database, the `list_directus_users` tool pulls live account profiles. An audit agent pulls this user list, while a security agent checks the media storage records returned by `list_directus_files`. Together, they flag mismatched permissions or unassigned files. The team logs their findings and uses `patch_cms_record` to update user profiles when discrepancies are found.

Setup guide

Set up Directus 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 Directus 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="Directus_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about Directus MCP in AutoGen

One agent proposes a modification using `patch_cms_record`, while a validator agent checks the target row using `get_single_item` to confirm the change is safe.

Yes, you can register a user proxy agent to block calls to `wipe_cms_record`, requiring manual human approval before any row is dropped from the database.

Use `mcp_server_tools` with your Vinkius HTTP endpoint. Pass the resulting tool list to your `AssistantAgent` constructor to expose the database capabilities to the group.

The analyst agent calls `list_collection_fields` on the target collection, sharing the raw array of column settings with the rest of the agent group.

No, your admin user identities and file metadata are processed exclusively inside Vinkius's secure sandboxed environment. The AutoGen agents only receive structured JSON outputs, keeping your underlying PostgreSQL credentials completely hidden.

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