Conductor (Netflix OSS) MCP Server for LlamaIndexGive LlamaIndex instant access to 49 tools to Add Task Log, Bulk Pause, Bulk Remove, and more

Name: Conductor (Netflix OSS)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Conductor (Netflix OSS) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Conductor (Netflix OSS) MCP Server for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 49 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Conductor (Netflix OSS). "
            "You have 49 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Conductor (Netflix OSS)?"
    )
    print(response)

asyncio.run(main())

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About Conductor (Netflix OSS) MCP Server

Connect your Netflix Conductor instance to any AI agent to orchestrate complex microservices and workflows through natural conversation.

LlamaIndex agents combine Conductor (Netflix OSS) tool responses with indexed documents for comprehensive, grounded answers. Connect 49 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Workflow Management — List all registered workflow definitions, fetch specific versions, and manage the lifecycle of your orchestration logic.
Task Definitions — Query and manage the underlying task types that power your microservices, ensuring your workers are correctly configured.
Validation & Testing — Validate workflow JSON definitions before saving them to the server to prevent runtime errors.
Execution Control — Start new workflow instances asynchronously directly from your AI assistant.
Batch Operations — Update or create multiple workflow and task definitions in a single request for rapid deployment.

The Conductor (Netflix OSS) MCP Server exposes 49 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 49 Conductor (Netflix OSS) tools available for LlamaIndex

When LlamaIndex connects to Conductor (Netflix OSS) through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-orchestration, microservices, netflix-conductor, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add task log on Conductor (Netflix OSS)

Add a log entry to a task

bulk

Bulk pause on Conductor (Netflix OSS)

Bulk pause workflows

bulk

Bulk remove on Conductor (Netflix OSS)

Bulk remove workflows

bulk

Bulk restart on Conductor (Netflix OSS)

Bulk restart workflows

bulk

Bulk resume on Conductor (Netflix OSS)

Bulk resume workflows

bulk

Bulk retry on Conductor (Netflix OSS)

Bulk retry workflows

bulk

Bulk search on Conductor (Netflix OSS)

Bulk search workflows by ID

bulk

Bulk terminate on Conductor (Netflix OSS)

Bulk terminate workflows

create

Create event handler on Conductor (Netflix OSS)

Create a new event handler

create

Create task definitions on Conductor (Netflix OSS)

Create new task definitions

create

Create workflow definition on Conductor (Netflix OSS)

Create a new workflow definition

delete

Delete event handler on Conductor (Netflix OSS)

Delete an event handler

delete

Delete task definition on Conductor (Netflix OSS)

Delete a task definition

delete

Delete workflow definition on Conductor (Netflix OSS)

Delete a workflow definition

execute

Execute workflow on Conductor (Netflix OSS)

Execute a workflow (Synchronous)

get

Get all queues on Conductor (Netflix OSS)

Get pending counts for all queues

get

Get correlated workflows on Conductor (Netflix OSS)

Get workflows by correlation ID

get

Get event handlers on Conductor (Netflix OSS)

Get all event handlers

get

Get queue size on Conductor (Netflix OSS)

Get queue depth for a task type

get

Get running workflows on Conductor (Netflix OSS)

Get running workflow IDs by type

get

Get task definition on Conductor (Netflix OSS)

Get a task definition by name

get

Get task definitions on Conductor (Netflix OSS)

Get all task definitions

get

Get task logs on Conductor (Netflix OSS)

Retrieve logs for a task

get

Get workflow on Conductor (Netflix OSS)

Get workflow execution by ID

get

Get workflow definition on Conductor (Netflix OSS)

Get a workflow definition by name

get

Get workflow definitions on Conductor (Netflix OSS)

Get all workflow definitions

get

Get workflow names and versions on Conductor (Netflix OSS)

Get all workflow names and versions

get

Get workflow tasks on Conductor (Netflix OSS)

Get tasks for a workflow execution

pause

Pause workflow on Conductor (Netflix OSS)

Pause a workflow

poll

Poll batch tasks on Conductor (Netflix OSS)

Long poll for multiple tasks

poll

Poll task on Conductor (Netflix OSS)

Poll for a single task

remove

Remove workflow on Conductor (Netflix OSS)

Remove a workflow from the system

requeue

Requeue tasks on Conductor (Netflix OSS)

Requeue pending tasks

rerun

Rerun workflow on Conductor (Netflix OSS)

Rerun a workflow from a specific task

restart

Restart workflow on Conductor (Netflix OSS)

Restart a workflow from the beginning

resume

Resume workflow on Conductor (Netflix OSS)

Resume a paused workflow

retry

Retry workflow on Conductor (Netflix OSS)

Retry the last failed task

Search workflows on Conductor (Netflix OSS)

Search workflows (returns WorkflowSummary)

Search workflows v2 on Conductor (Netflix OSS)

Search workflows (returns full Workflow objects)

skip

Skip task on Conductor (Netflix OSS)

Skip a task in a running workflow

start

Start workflow on Conductor (Netflix OSS)

Start a new workflow execution (Asynchronous)

terminate

Terminate workflow on Conductor (Netflix OSS)

Terminate a running workflow

update

Update event handler on Conductor (Netflix OSS)

Update an existing event handler

update

Update task on Conductor (Netflix OSS)

Update task result

update

Update task by ref on Conductor (Netflix OSS)

Update task by reference name

update

Update task definition on Conductor (Netflix OSS)

Update a task definition

update

Update task v2 on Conductor (Netflix OSS)

Update task and poll for the next available task

update

Update workflow definitions on Conductor (Netflix OSS)

Create or update workflow definitions (batch)

validate

Validate workflow definition on Conductor (Netflix OSS)

Validate a workflow definition without saving

Connect Conductor (Netflix OSS) to LlamaIndex via MCP

Follow these steps to wire Conductor (Netflix OSS) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 49 tools from Conductor (Netflix OSS)

Why Use LlamaIndex with the Conductor (Netflix OSS) MCP Server

LlamaIndex provides unique advantages when paired with Conductor (Netflix OSS) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Conductor (Netflix OSS) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Conductor (Netflix OSS) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Conductor (Netflix OSS), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Conductor (Netflix OSS) tools were called, what data was returned, and how it influenced the final answer

Conductor (Netflix OSS) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Conductor (Netflix OSS) MCP Server delivers measurable value.

Hybrid search: combine Conductor (Netflix OSS) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Conductor (Netflix OSS) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Conductor (Netflix OSS) for fresh data

Analytical workflows: chain Conductor (Netflix OSS) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Conductor (Netflix OSS) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Conductor (Netflix OSS) immediately.

"List all workflow names and their versions currently registered in Conductor."

"Show me the full definition for the workflow 'user_onboarding' version 2."

"Start a new execution of the 'payment_processing' workflow."

Troubleshooting Conductor (Netflix OSS) MCP Server with LlamaIndex

Common issues when connecting Conductor (Netflix OSS) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Conductor (Netflix OSS) + LlamaIndex FAQ

Common questions about integrating Conductor (Netflix OSS) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Conductor (Netflix OSS) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.