Concord (Workflow Orchestration) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Concord (Workflow Orchestration) 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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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 Concord (Workflow Orchestration). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Concord (Workflow Orchestration)?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Concord (Workflow Orchestration) MCP Server
Connect your AI assistant to Concord, the open-source workflow orchestration and CI/CD platform. Your agent can manage organizations, projects, and execution processes programmatically — all triggered from natural language commands.
LlamaIndex agents combine Concord (Workflow Orchestration) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Process Management — List, inspect, and terminate running workflow executions across your Concord projects.
- Log Retrieval — Pull execution logs for any process instance to quickly diagnose failures or audit pipeline runs.
- Organization & Project Scoping — Browse all organizations and projects configured in your Concord server.
The Concord (Workflow Orchestration) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Concord (Workflow Orchestration) to LlamaIndex via MCP
Follow these steps to integrate the Concord (Workflow Orchestration) MCP Server with LlamaIndex.
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 10 tools from Concord (Workflow Orchestration)
Why Use LlamaIndex with the Concord (Workflow Orchestration) MCP Server
LlamaIndex provides unique advantages when paired with Concord (Workflow Orchestration) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Concord (Workflow Orchestration) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Concord (Workflow Orchestration) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Concord (Workflow Orchestration), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Concord (Workflow Orchestration) tools were called, what data was returned, and how it influenced the final answer
Concord (Workflow Orchestration) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Concord (Workflow Orchestration) MCP Server delivers measurable value.
Hybrid search: combine Concord (Workflow Orchestration) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Concord (Workflow Orchestration) 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 Concord (Workflow Orchestration) for fresh data
Analytical workflows: chain Concord (Workflow Orchestration) queries with LlamaIndex's data connectors to build multi-source analytical reports
Concord (Workflow Orchestration) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Concord (Workflow Orchestration) to LlamaIndex via MCP:
get_process
Retrieve detailed information about a specific process execution
get_process_log
Retrieve the execution logs for a specific process
get_project_details
Retrieve detailed information about a specific project
list_organizations
Retrieve a list of all organizations in Concord
list_processes
Retrieve a list of process executions in Concord
list_projects
Retrieve a list of projects within an organization
list_repositories
Retrieve a list of repositories configured for a project
list_running_processes
Quickly list all currently running processes
start_process
Trigger a new process execution in Concord
terminate_process
Stop a running process execution
Example Prompts for Concord (Workflow Orchestration) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Concord (Workflow Orchestration) immediately.
"Show me the last 10 finished processes in Concord."
"List all organizations available in my Concord instance."
"Pull the logs for execution instance 'inst-58291'."
Troubleshooting Concord (Workflow Orchestration) MCP Server with LlamaIndex
Common issues when connecting Concord (Workflow Orchestration) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpConcord (Workflow Orchestration) + LlamaIndex FAQ
Common questions about integrating Concord (Workflow Orchestration) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Concord (Workflow Orchestration) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Concord (Workflow Orchestration) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.