# How to integrate Process street MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Process street MCP with OpenAI Agents SDK",
  "toolkit": "Process street",
  "toolkit_slug": "process_street",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/process_street/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/process_street/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:24:34.913Z"
}
```

## Introduction

This guide walks you through connecting Process street to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Process street agent that can start a new onboarding checklist for a new hire, find all workflow runs due this week, list all available sop templates in your account through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Process street account through Composio's Process street MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Process street with

- [Claude Agent SDK](https://composio.dev/toolkits/process_street/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/process_street/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/process_street/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/process_street/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/process_street/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/process_street/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/process_street/framework/cli)
- [Google ADK](https://composio.dev/toolkits/process_street/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/process_street/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/process_street/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/process_street/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/process_street/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/process_street/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Process street
- Configure an AI agent that can use Process street as a tool
- Run a live chat session where you can ask the agent to perform Process street operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Process street MCP server, and what's possible with it?

The Process street MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Process Street account. It provides structured and secure access to your workflows, so your agent can perform actions like listing workflows, launching new workflow runs, searching data sets, completing processes, and recovering deleted runs on your behalf.
- Automated workflow management: Let your agent retrieve all available workflows and help you navigate or select the right process for any task.
- Instant workflow run creation: Have your AI assistant spin up new workflow runs from templates, name them, set due dates, and generate share links as needed.
- Targeted data set search: Ask your agent to search and filter rows within Process Street data sets to quickly find matching entries based on your criteria.
- Workflow run completion: Direct your agent to mark entire workflow runs as completed, ensuring processes are finished and statuses are up to date.
- One-click workflow run recovery: Quickly restore accidentally deleted workflow runs, letting your agent correct mistakes and recover lost progress with ease.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PROCESS_STREET_COMPLETE_WORKFLOW_RUN` | Complete a workflow run | This tool marks an entire workflow run as completed in process street. it updates the workflow run's status to 'completed', distinguishing it from process street complete task which completes individual tasks. |
| `PROCESS_STREET_CREATE_WORKFLOW_RUN` | Create Workflow Run | This tool creates a new workflow run from a specified workflow template. it is one of the most fundamental operations in process street, allowing users to initiate a new instance of a workflow. the tool requires a workflow template id and optionally allows setting a custom name, due date, and whether to enable a share link. |
| `PROCESS_STREET_FIND_DATA_SET_ROWS` | Find Data Set Rows | This tool allows you to search for records within a data set based on form fields. it's useful for retrieving specific records from a data set when you need to find matching entries based on certain criteria. |
| `PROCESS_STREET_LIST_WORKFLOWS` | List Workflows | This tool retrieves a list of all workflows available in the process street account. it is a fundamental action that allows users to view and access all their workflows, which is essential for other operations that require workflow ids. this action is important because it provides the foundation for other actions that require workflow ids as input parameters, such as creating workflow runs or managing workflow-specific tasks, thereby enabling better workflow management and automation. |
| `PROCESS_STREET_UNDELETE_WORKFLOW_RUN` | Undelete Workflow Run | This tool allows you to restore a previously deleted workflow run in process street. it uses the put /v1.1/workflow-runs/{workflowrunid}/undelete endpoint to recover a workflow run within a valid recovery period. it complements the existing process street delete workflow run action by providing a data recovery option to correct deletion mistakes. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Process street MCP server is an implementation of the Model Context Protocol that connects your AI agent to Process street. It provides structured and secure access so your agent can perform Process street operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Process street project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Process street.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only process_street.
- The router checks the user's Process street connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Process street.
- This approach keeps things lightweight and lets the agent request Process street tools only when needed during the conversation.
```python
# Create a Process street Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["process_street"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Process street
const session = await composio.create(userId as string, {
  toolkits: ['process_street'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Process street. "
        "Help users perform Process street operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Process street. Help users perform Process street operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["process_street"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Process street. "
        "Help users perform Process street operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['process_street'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Process street. Help users perform Process street operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Process street MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Process street.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Process street MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/process_street/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/process_street/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/process_street/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/process_street/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/process_street/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/process_street/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/process_street/framework/cli)
- [Google ADK](https://composio.dev/toolkits/process_street/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/process_street/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/process_street/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/process_street/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/process_street/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/process_street/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Process street MCP?

With a standalone Process street MCP server, the agents and LLMs can only access a fixed set of Process street tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Process street and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Process street tools.

### Can I manage the permissions and scopes for Process street while using Tool Router?

Yes, absolutely. You can configure which Process street scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Process street data and credentials are handled as safely as possible.

---
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