# How to integrate Spondyr MCP with CrewAI

```json
{
  "title": "How to integrate Spondyr MCP with CrewAI",
  "toolkit": "Spondyr",
  "toolkit_slug": "spondyr",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/spondyr/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/spondyr/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:26:53.357Z"
}
```

## Introduction

This guide walks you through connecting Spondyr to CrewAI using the Composio tool router. By the end, you'll have a working Spondyr agent that can list all transaction types in spondyr, create condition rules for refund events, update event type name for shipped orders through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Spondyr account through Composio's Spondyr MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Spondyr with

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

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Spondyr connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Spondyr
- Build a conversational loop where your agent can execute Spondyr operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

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

The Spondyr MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Spondyr account. It provides structured and secure access to your Spondyr templates, transaction types, events, and correspondence workflows, so your agent can perform actions like managing conditions, handling recipients, orchestrating correspondence delivery, and monitoring status updates for your business communications.
- Comprehensive transaction type management: Quickly create, list, or update transaction types—making it easy for your agent to adapt Spondyr to your evolving business data needs.
- Rule-based template selection: Define and manage conditions that control which templates are used for different transaction scenarios, ensuring your communications are always personalized and relevant.
- Automated correspondence delivery and tracking: Have your agent trigger the delivery of generated correspondence and fetch real-time status updates, so you always know when and how your messages are sent.
- Dynamic event and recipient handling: List, retrieve, update, or delete event types and recipient information to keep your communication flows flexible and up-to-date.
- Seamless integration and configuration management: Effortlessly connect, configure, and synchronize your Spondyr settings and workflows—without manual intervention or custom code.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SPONDYR_CONDITIONS_LIST` | List Conditions | Tool to list all conditions for a transaction type. Use when you need to discover existing condition rules before creating templates or generating correspondence. Conditions define criteria for selecting specific templates based on transaction data. |
| `SPONDYR_CREATE_CONDITION` | Create Condition | Create a condition rule for template selection in Spondyr. Conditions define matching criteria on transaction data fields that determine which document template to use. For example, create a condition on an 'OrderStatus' field to trigger different email templates for 'Pending' vs 'Shipped' orders. |
| `SPONDYR_CREATE_TRANSACTION_TYPE` | Create Transaction Type | Tool to create a new transaction type. Use after defining the JSON schema for your data to register it in Spondyr. |
| `SPONDYR_DELIVER_SPONDYR` | Deliver Spondyr correspondence | Trigger delivery of previously generated correspondence to recipients. Use this action after generating correspondence (via POST /Spondyr with IsGenerateOnly=true) to actually deliver the documents via email, fax, mail, or text message. The ReferenceID from the generate request is required to identify which correspondence to deliver. |
| `SPONDYR_EVENT_TYPE_UPDATE` | Update Event Type | Tool to update an existing event type name within a transaction type. Use when you need to rename an Event Type. Example: Rename the 'OrderShipped' event to 'OrderDelivered' within the 'CustomerOrders' transaction type. Note: This only changes the event type's name - it does not move the event to a different transaction type. |
| `SPONDYR_GET_EVENT_TYPES` | List Event Types for Transaction Type | Retrieves all event types associated with a specific transaction type in Spondyr. Event types define the kinds of events that can occur for a transaction type (e.g., "Created", "Updated", "Cancelled" events for an "Order" transaction type). Use this action after retrieving transaction types to discover what event types are available for a given transaction type. This is essential for understanding the event-driven workflows and setting up event-based automation in Spondyr. Returns an empty list if the transaction type exists but has no event types configured. |
| `SPONDYR_GET_SPONDYR_STATUS` | Get Spondyr Status | Tool to retrieve the status of a previously generated correspondence. Use after generating correspondence to check its processing and delivery status. |
| `SPONDYR_GET_TRANSACTION_TYPES` | Get Transaction Types | Tool to retrieve a list of available transaction types. Use after authentication to discover data schemas. |
| `SPONDYR_RECIPIENT_DELETE` | Delete Recipient | Deletes a recipient configuration from a transaction type in Spondyr. Recipients are configured delivery endpoints (email addresses, fax numbers, physical addresses) that determine where correspondence will be sent when a transaction is processed. This action permanently removes a recipient configuration from the specified transaction type. Before deletion, use the 'List Recipients' action to verify the recipient name and transaction type. After successful deletion, the recipient will no longer be available for correspondence delivery. |
| `SPONDYR_RECIPIENT_GET` | Get Recipient | Tool to retrieve details of a specific recipient. Use when you need to fetch recipient configuration for a given transaction type. Example: "Retrieve recipient 'Customer' for transaction type 'OrderPlaced'." |
| `SPONDYR_RECIPIENTS_LIST` | List Recipients | Tool to list all recipients for a transaction type. Use when you need to discover or verify all configured recipients before sending or managing correspondence. |
| `SPONDYR_SEARCH_FILTER_CREATE` | Create Search Filter | Create a new search filter for a transaction type in Spondyr. Search filters enable you to define searchable fields within your transaction data. Once created, these filters allow you to quickly search and retrieve specific transactions based on field values (e.g., search by OrderID, CustomerName, InvoiceNumber). Use this tool when you need to make a specific field searchable within a transaction type. |
| `SPONDYR_SEARCH_FILTER_DELETE` | Delete Search Filter | Deletes a specific search filter from the Spondyr system. Use this when you need to remove a search filter that is no longer needed. Both the filter name and transaction type must exactly match the values used when the filter was created. If the filter does not exist, the API will return an error. |
| `SPONDYR_SEARCH_FILTER_GET` | Get Search Filter | Retrieves details of a specific search filter in Spondyr by name and transaction type. Returns the filter's name, tag value, and associated transaction type. Use this when you need to look up an existing search filter's configuration, verify its tag format, or confirm which transaction type it belongs to before using it for correspondence searches. |
| `SPONDYR_SEARCH_FILTERS_LIST` | List Search Filters | Tool to list all search filters for a transaction type. Use when you need to discover available filters before searching correspondence. |
| `SPONDYR_SEARCH_SPONDYRS` | Search Correspondence | Search for generated correspondence (spondyrs) by multiple criteria including batch ID, event type, and custom search filters. Returns paginated results with delivery status, recipient information, and URIs to access generated documents. Use this to find and retrieve previously generated correspondence. |
| `SPONDYR_SSO_STUB` | Create Spondyr SSO stub | Tool to create a one-time SSO user stub in Spondyr. Use after application authentication to generate a temporary SSO token for embedding or redirecting users. |
| `SPONDYR_TEMPLATE_GET` | Get Template | Retrieve detailed configuration for a specific correspondence template. Returns template content reference ID, event type, recipients, delivery methods, conditions, and search filters. Use this action when you need to: - Inspect template settings and configuration - View recipient delivery methods (Email, Mail, Text, DocuSign, Fax, Destination) - Review template selection conditions and search filters - Get the template content reference ID for correspondence generation Prerequisites: Use 'Get Transaction Types' to discover transaction types, then 'List Templates' to find available template names. Example: Retrieve template 'OrderConfirmationEmail' for transaction type 'CustomerOrder'. |
| `SPONDYR_TEMPLATES_LIST` | List Templates | List all templates configured for a transaction type. Use this to discover available templates before generating correspondence or to audit template configurations. Returns template metadata including name, event type, content type, recipients, conditions, and search filters. Use Get Template action to retrieve full template content and detailed configuration. |
| `SPONDYR_TRANSACTION_TYPE_GET` | Get Transaction Type | Tool to retrieve details of a specific transaction type. Use when inspecting a transaction type schema. Returns the schema definition including JSON structure and CSV field mappings. Example: "Get transaction type 'CustomerOrder' to view its JSON schema and available fields." |
| `SPONDYR_TRANSACTION_TYPE_UPDATE` | Update Transaction Type | Updates an existing transaction type's name and/or JSON schema in Spondyr. Use this tool to: - Modify the JSON schema/template of a transaction type to add, remove, or change data fields - Rename an existing transaction type - Update sample data values in the template Prerequisites: The transaction type must already exist. Use 'Get Transaction Types' to list available types or 'Get Transaction Type' to retrieve the current schema before updating. Example: Update the 'OrderPlaced' transaction type with a new JSON schema that includes customer address fields. |

## Supported Triggers

None listed.

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

The Spondyr MCP server is an implementation of the Model Context Protocol that connects your AI agent to Spondyr. It provides structured and secure access so your agent can perform Spondyr 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:
- Python 3.9 or higher
- A Composio account and API key
- A Spondyr connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Spondyr via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Spondyr MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Spondyr

**What's happening:**
- You create a Spondyr only session through Composio
- Composio returns an MCP HTTP URL that exposes Spondyr tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["spondyr"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["spondyr"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Spondyr through Composio's Tool Router. The agent can perform Spondyr operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Spondyr MCP Agent with another framework

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

## Related Toolkits

- [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations.
- [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code.
- [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications.
- [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews.
- [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way.
- [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease.
- [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration.
- [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.
- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
- [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services.
- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Spondyr MCP?

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

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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 Spondyr tools.

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

Yes, absolutely. You can configure which Spondyr 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 Spondyr data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
