# How to integrate Mezmo MCP with LangChain ```json { "title": "How to integrate Mezmo MCP with LangChain", "toolkit": "Mezmo", "toolkit_slug": "mezmo", "framework": "LangChain", "framework_slug": "langchain", "url": "https://composio.dev/toolkits/mezmo/framework/langchain", "markdown_url": "https://composio.dev/toolkits/mezmo/framework/langchain.md", "updated_at": "2026-05-12T10:18:55.352Z" } ``` ## Introduction This guide walks you through connecting Mezmo to LangChain using the Composio tool router. By the end, you'll have a working Mezmo agent that can send application error logs to mezmo, delete outdated pipeline alert for a component, ingest security event logs from last hour through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Mezmo account through Composio's Mezmo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Mezmo with - [OpenAI Agents SDK](https://composio.dev/toolkits/mezmo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/mezmo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/mezmo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/mezmo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/mezmo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/mezmo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/mezmo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/mezmo/framework/cli) - [Google ADK](https://composio.dev/toolkits/mezmo/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/mezmo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/mezmo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mezmo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/mezmo/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Connect your Mezmo project to Composio - Create a Tool Router MCP session for Mezmo - Initialize an MCP client and retrieve Mezmo tools - Build a LangChain agent that can interact with Mezmo - 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 Mezmo MCP server, and what's possible with it? The Mezmo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, and more directly to your Mezmo account. It provides structured and secure access to your log management and telemetry pipelines, so your agent can ingest logs, manage pipeline alerts, streamline monitoring, and automate log-driven workflows on your behalf. - Automated log ingestion: Seamlessly send structured log events from any host or service to Mezmo for real-time analysis and monitoring. - Pipeline alert deletion: Direct your agent to remove specific alerts tied to components in your pipelines, helping manage noise and maintain alert hygiene. - Streamlined alert management: Enable your agent to clean up outdated or redundant alerts, keeping your pipeline monitoring focused and actionable. - Real-time telemetry processing: Let your agent push telemetry data instantly for advanced analytics, troubleshooting, and observability workflows. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MEZMO_CREATE_CATEGORY` | Create Category | Tool to create a new category for views, boards, or screens in Mezmo. Use when organizing Mezmo resources into categories. | | `MEZMO_CREATE_INGESTION_EXCLUSION` | Create Ingestion Exclusion Rule | Tool to create an exclusion rule for log ingestion to control costs. Use this when you need to prevent specific logs from being ingested or stored based on query patterns. Exclusion rules help reduce ingestion costs by filtering out debug logs, test environment logs, or other non-essential log data. | | `MEZMO_CREATE_KEY` | Create API Key | Tool to create a new API key (ingestion or service key) in Mezmo. The API auto-generates a unique name for the key. Use when you need to provision a new key for log ingestion or API access. | | `MEZMO_CREATE_MEMBER` | Create Member Invitation | Tool to invite a new member to the Mezmo organization with a specified role. Use this to send invitations to team members and optionally assign them to specific groups. | | `MEZMO_CREATE_PRESET_ALERT` | Create Preset Alert | Tool to create a new preset alert in Mezmo with specified name and notification channels. Use this to configure alerts that can be triggered based on log conditions. Supports email, PagerDuty, and webhook notification channels. | | `MEZMO_CREATE_VIEW` | Create View | Tool to create a new Mezmo view with filtering and alert configuration. Use when you need to set up custom log views with specific filters (query, hosts, apps, levels, tags) and optional alert channels (email, PagerDuty, webhook). At least one filter parameter must be provided in addition to the view name. | | `MEZMO_DELETE_CATEGORY` | Delete Category | Tool to delete a category by its type and ID. Use when you need to remove a view, board, or screen category from Mezmo configuration. | | `MEZMO_DELETE_INGESTION_EXCLUSION` | Delete Ingestion Exclusion | Tool to remove an ingestion exclusion rule by its ID. Use when you need to delete a specific exclusion rule from Mezmo's ingestion configuration. | | `MEZMO_DELETE_KEY` | Delete API Key | Tool to delete an API key by its unique identifier. Use when you need to remove an ingestion key from Mezmo to revoke access. | | `MEZMO_DELETE_MEMBER` | Delete Organization Member | Tool to remove a member from the organization by their email address. Use when you need to revoke a user's access to the organization. | | `MEZMO_DELETE_PIPELINE_ALERT` | Delete Pipeline Alert | Tool to delete an alert for a specific component within a pipeline. Use after confirming pipeline ID, component kind, component ID, and alert ID. | | `MEZMO_DELETE_PRESET_ALERT` | Delete Preset Alert | Tool to delete a preset alert by its ID. Use after confirming the preset alert ID exists. | | `MEZMO_DELETE_VIEW` | Delete View | Tool to delete a view by its ID. Use when you need to remove a specific view from Mezmo. | | `MEZMO_GET_ALERT` | Get Preset Alert | Tool to retrieve details of a specific preset alert by its ID. Use when you need to view the configuration of an existing alert. | | `MEZMO_GET_CATEGORY` | Get Category | Tool to retrieve a category configuration by its type and ID. Use when you need to fetch details about a specific Mezmo category (view, board, or screen). | | `MEZMO_GET_INDEX_RATE_ALERT` | Get Index Rate Alert Configuration | Tool to retrieve current index rate alert settings for the Mezmo account. Use this to check if index rate alerting is enabled and view configured thresholds and notification channels. | | `MEZMO_GET_INGESTION_EXCLUSION` | Get Ingestion Exclusion Rule | Tool to retrieve an ingestion exclusion rule by its ID. Use when you need to fetch details of a specific exclusion rule. | | `MEZMO_GET_INGESTION_STATUS` | Get Ingestion Status | Tool to get the current ingestion status for the Mezmo account. Use when you need to check whether log ingestion is currently active or paused. | | `MEZMO_GET_KEY` | Get API Key | Tool to retrieve an API key configuration by its ID. Use when you need to fetch details about a specific Mezmo API key. | | `MEZMO_GET_MEMBER` | Get Member | Tool to retrieve member information by their ID. Use when you need to fetch details about a specific member in your Mezmo account. | | `MEZMO_GET_STREAM_CONFIG` | Get Stream Configuration | Tool to retrieve the current event streaming configuration for the Mezmo account. Use when you need to check if streaming is enabled and get streaming settings. Returns error details if streaming is unavailable on the account/plan. | | `MEZMO_GET_VIEW` | Get View Details | Tool to retrieve details of a specific view by its ID. Use when you need to fetch view configuration including name, query, filters, and other attributes. | | `MEZMO_INGEST_LOGS` | Ingest Logs to Mezmo | Ingest log lines into Mezmo Log Analysis. Use this tool to send structured log data from hosts, applications, or services to Mezmo for centralized logging, analysis, and alerting. Logs are sent to the Mezmo ingestion endpoint and will appear in the Mezmo dashboard. | | `MEZMO_LIST_ALERTS` | List Preset Alerts | Tool to list all preset alerts configured for the Mezmo account. Use when you need to retrieve notification rules that trigger based on log patterns. Returns preset alert configurations including their channels (email, PagerDuty, webhook). | | `MEZMO_LIST_KEYS` | List API Keys | Tool to list all API keys and ingestion keys configured for the account. Use when you need to retrieve all keys for viewing or management purposes. | | `MEZMO_LIST_MEMBERS` | List Members | Tool to list all team members in the Mezmo account configuration. Use when you need to retrieve information about all members in the organization. | | `MEZMO_LIST_PIPELINES` | List Telemetry Pipelines | Tool to list all telemetry pipelines configured for the account. Use when you need to view or retrieve information about existing pipelines that manage the flow and transformation of telemetry data. | | `MEZMO_LIST_VIEWS` | List Views | Tool to list all views configured for the account. Views are saved search queries and filters for quick access to specific log data. | | `MEZMO_RESUME_INGESTION` | Resume Log Ingestion | Tool to resume log ingestion for the account after it has been stopped. Use when you need to re-enable log collection after a pause. | | `MEZMO_UPDATE_CATEGORY` | Update Category | Tool to update a category name by its type and ID. Use when you need to rename an existing category in Mezmo. | | `MEZMO_UPDATE_INDEX_RATE_ALERT` | Update Index Rate Alert Configuration | Tool to configure index rate alerting settings including thresholds and notification channels. Use this when you need to set up or modify alerts for unusual log ingestion rates based on absolute line counts or statistical deviations. | | `MEZMO_UPDATE_INGESTION_EXCLUSION` | Update Ingestion Exclusion Rule | Tool to update an existing exclusion rule by its ID. Use when you need to modify the query, active status, indexonly behavior, or title of an existing exclusion rule. At least one field (query, active, indexonly, or title) must be provided for update. | | `MEZMO_UPDATE_KEY` | Update API Key | Tool to update an API key name by its ID. Use when you need to rename an existing Mezmo API key. | | `MEZMO_UPDATE_MEMBER` | Update Member Role and Groups | Tool to update a member's role and group assignments by their email address. Use when you need to change a member's permissions or group memberships. | | `MEZMO_UPDATE_PRESET_ALERT` | Update Preset Alert | Tool to update an existing preset alert by ID. Allows modifying the alert's name and notification channels. Use when you need to change alert configuration after creation. Requires full resource representation with both name and channels. | | `MEZMO_UPDATE_VIEW` | Update Mezmo View | Tool to update an existing Mezmo view by its ID. Use when you need to modify a view's name or search query. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Mezmo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Mezmo. It provides structured and secure access so your agent can perform Mezmo 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 Mezmo 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 Mezmo 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 Mezmo tools as needed ```python # Create Tool Router session for Mezmo session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['mezmo'] ) url = session.mcp.url ``` ```typescript const session = await composio.create( userId as string, { toolkits: ['mezmo'] } ); const url = session.mcp.url; ``` ### 7. Configure the agent with the MCP URL No description provided. ```python client = MultiServerMCPClient({ "mezmo-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({ "mezmo-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 Mezmo 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 Mezmo 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=['mezmo'] ) url = session.mcp.url client = MultiServerMCPClient({ "mezmo-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 Mezmo 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: ['mezmo'] } ); const url = session.mcp.url; const client = new MultiServerMCPClient({ "mezmo-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 Mezmo 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 Mezmo 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 Mezmo MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/mezmo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/mezmo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/mezmo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/mezmo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/mezmo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/mezmo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/mezmo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/mezmo/framework/cli) - [Google ADK](https://composio.dev/toolkits/mezmo/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/mezmo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/mezmo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mezmo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/mezmo/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. 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It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. 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It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Mezmo MCP? With a standalone Mezmo MCP server, the agents and LLMs can only access a fixed set of Mezmo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mezmo 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 Mezmo tools. ### Can I manage the permissions and scopes for Mezmo while using Tool Router? Yes, absolutely. You can configure which Mezmo 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 Mezmo data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)