# How to integrate Canny MCP with LangChain

```json
{
  "title": "How to integrate Canny MCP with LangChain",
  "toolkit": "Canny",
  "toolkit_slug": "canny",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/canny/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/canny/framework/langchain.md",
  "updated_at": "2026-05-12T10:05:00.771Z"
}
```

## Introduction

This guide walks you through connecting Canny to LangChain using the Composio tool router. By the end, you'll have a working Canny agent that can add 'urgent' tag to all critical feedback posts, create a new post on the bugs board, change status of top-voted post to 'in progress' through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Canny account through Composio's Canny MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Canny with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Canny project to Composio
- Create a Tool Router MCP session for Canny
- Initialize an MCP client and retrieve Canny tools
- Build a LangChain agent that can interact with Canny
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

The Canny MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Canny account. It provides structured and secure access to your feedback boards, so your agent can create new posts, manage user feedback, update post status, and keep changelogs up to date—all automatically, on your behalf.
- Automated feedback collection and posting: Enable your agent to create new posts on boards, capturing fresh user suggestions or bug reports with the right context every time.
- User and comment management: Let your agent create or update user profiles, add new comments to posts, and even delete users or comments for moderation or compliance needs.
- Status and tag updates: Have your agent update post statuses to reflect progress or changes, apply tags to categorize feedback, and create new tags as your product evolves.
- Changelog automation: Seamlessly generate and publish changelog entries to keep users informed about new features or bug fixes, with full control over timing and notifications.
- Feedback voting and prioritization: Allow your agent to create or migrate votes for posts, helping you track which ideas matter most to your users with minimal manual effort.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CANNY_ADD_POST_TAG` | Add Post Tag | Tool to add a tag to a specific post. Use when you need to categorize or group content by applying an existing tag. |
| `CANNY_CHANGE_POST_STATUS` | Change Post Status | Tool to change a post's status. Use when you need to update a post's workflow stage and optionally notify voters. |
| `CANNY_CREATE_CHANGELOG_ENTRY` | Create Changelog Entry | Tool to create and optionally publish a new changelog entry. Use when you need to add a product update record, control publish timing, and notify users. Example: "Create changelog entry titled 'Version 1.2' with details '...' and publish immediately.". |
| `CANNY_CREATE_COMMENT` | Create Comment | Tool to create a new comment on a post. Use when you have the authorID and postID and want to submit feedback or replies. |
| `CANNY_CREATE_OR_UPDATE_USER` | Create or Update User | Creates a new user or updates an existing user in Canny. If a user with the given identifier (email, userID, or id) already exists, their profile is updated; otherwise, a new user is created. IMPORTANT: At least one of 'email', 'userID', or 'id' must be provided along with 'name'. Use cases: - Sync users from your application to Canny - Update user profiles (name, avatar, custom fields) - Associate users with companies for segmentation Example: Create user with email: {"name": "Jane Doe", "email": "jane@example.com"} Example: Sync app user: {"name": "John Smith", "userID": "app_user_123", "email": "john@example.com"} |
| `CANNY_CREATE_POST` | Create Post | Tool to create a new post (feature request or feedback) on a Canny board. Use this action when you need to submit new feedback or feature requests to a board. Requires a valid boardID (from list_boards) and authorID (from create_or_update_user or list_users). |
| `CANNY_CREATE_TAG` | Create Tag | Tool to create a new tag. Use when you have the boardID and tag name and need to categorize posts. |
| `CANNY_CREATE_VOTE` | Create Vote | Tool to create a vote for a post. Use when you need to record or migrate a user's vote on a post, optionally setting priority or original creation time. Example: Create a vote for postID abc123 with voterID user_456. |
| `CANNY_DELETE_COMMENT` | Delete Comment | Tool to delete a comment. Use when moderation is required to remove a specific comment by its id. Example: "Delete the comment with ID 553c3ef8b8cdcd1501ba1238." |
| `CANNY_DELETE_POST` | Delete Post | Tool to delete a post. Use when you need to permanently remove a post by its id. Example: "Delete the post with ID 553c3ef8b8cdcd1501ba1238." |
| `CANNY_CANNY_DELETE_USER` | Delete User | Tool to delete a user and their comments and votes. Use when you need to fully remove a user’s account and all associated data (e.g., GDPR compliance). |
| `CANNY_DELETE_VOTE` | Delete Vote | Tool to delete a vote. Use when you need to remove a user's vote from a specific post by its id. Example: "Delete the vote from postID abc123 for voterID user_456." |
| `CANNY_LIST_BOARDS` | List Boards | Tool to list all boards. Use when you need to retrieve every board for your company after authentication. |
| `CANNY_LIST_CATEGORIES` | List Categories | Tool to list categories. Use when fetching categories for a specific board by its ID. |
| `CANNY_LIST_COMMENTS` | List Comments | Retrieves a paginated list of comments from Canny. Comments can be filtered by board, post, author, or company. Use this action to: - Get all comments across your Canny instance - Find comments on a specific post (using postID) - List comments from a specific board (using boardID) - See comments by a specific user (using authorID) - Track feedback from a company's users (using companyID) Returns comments ordered by creation date (newest first). Use 'limit' and 'skip' for pagination. |
| `CANNY_LIST_COMPANIES` | List Companies | Tool to list companies associated with your Canny account. Use after authentication to retrieve companies with pagination support. |
| `CANNY_LIST_OPPORTUNITIES` | List Opportunities | Tool to list opportunities linked to posts. Use when you need to fetch customer opportunities synced from CRM. |
| `CANNY_LIST_POSTS` | List Posts | Tool to list posts with various filters. Use after selecting a board or to search/filter posts. |
| `CANNY_LIST_TAGS` | List Tags | Tool to list tags. Use when fetching tags optionally filtered by board ID and handling pagination. |
| `CANNY_LIST_USERS` | List Users | List all end-users in your Canny workspace with pagination support. Use this tool to: - Fetch users from your Canny workspace - Paginate through large user lists using cursor-based pagination - Get user details including email, name, admin status, and custom fields Returns a paginated list of users. Use the returned cursor to fetch subsequent pages. |
| `CANNY_LIST_VOTES` | List Votes | Retrieve votes from Canny with optional filtering by board, post, or voter. Use this action to: - Get all votes on a specific post (filter by postID) - Get all votes by a specific user (filter by voterID) - Get all votes on posts in a board (filter by boardID) - List all votes across the account (no filters) Results are paginated - use 'limit' and 'skip' parameters to navigate through pages. Check 'hasMore' in the response to determine if more results are available. |
| `CANNY_RETRIEVE_BOARD` | Retrieve Board | Tool to retrieve details of a board by its ID. Use when you need metadata for a specific board. |
| `CANNY_RETRIEVE_TAG` | Retrieve Tag | Tool to retrieve details of a tag by its ID. Use after obtaining a valid tag ID. |
| `CANNY_RETRIEVE_USER` | Retrieve User | Tool to retrieve user details by Canny user ID, app user ID, or email. Use when you have exactly one identifier and need full user information. Example: "Retrieve user with email user@example.com" |
| `CANNY_UPDATE_POST` | Update Post | Tool to update post details. Use when you need to change a post's title, details, ETA, images, or custom fields. |

## Supported Triggers

None listed.

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

The Canny MCP server is an implementation of the Model Context Protocol that connects your AI agent to Canny. It provides structured and secure access so your agent can perform Canny 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Canny tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

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

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Canny tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Canny tools as needed
```python
# Create Tool Router session for Canny
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['canny']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['canny']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "canny-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "canny-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Canny related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Canny related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['canny']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "canny-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Canny related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['canny']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "canny-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Canny related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Canny through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Canny MCP Agent with another framework

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.

## Frequently Asked Questions

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

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

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

Yes, you can. LangChain 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 Canny tools.

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

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

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