# How to integrate Semrush MCP with Autogen ```json { "title": "How to integrate Semrush MCP with Autogen", "toolkit": "Semrush", "toolkit_slug": "semrush", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/semrush/framework/autogen", "markdown_url": "https://composio.dev/toolkits/semrush/framework/autogen.md", "updated_at": "2026-05-06T08:27:20.223Z" } ``` ## Introduction This guide walks you through connecting Semrush to AutoGen using the Composio tool router. By the end, you'll have a working Semrush agent that can show top anchor texts for example.com, compare backlink profiles for three domains, get keyword overview for 'organic coffee' through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Semrush account through Composio's Semrush MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Semrush with - [ChatGPT](https://composio.dev/toolkits/semrush/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/semrush/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/semrush/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/semrush/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/semrush/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/semrush/framework/codex) - [Cursor](https://composio.dev/toolkits/semrush/framework/cursor) - [VS Code](https://composio.dev/toolkits/semrush/framework/vscode) - [OpenCode](https://composio.dev/toolkits/semrush/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/semrush/framework/openclaw) - [Hermes](https://composio.dev/toolkits/semrush/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/semrush/framework/cli) - [Google ADK](https://composio.dev/toolkits/semrush/framework/google-adk) - [LangChain](https://composio.dev/toolkits/semrush/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/semrush/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/semrush/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/semrush/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/semrush/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Semrush - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Semrush tools - Run a live chat loop where you ask the agent to perform Semrush operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Semrush MCP server, and what's possible with it? The Semrush MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Semrush account. It provides structured and secure access to your SEO, keyword, and advertising analytics, so your agent can perform actions like keyword research, competitor analysis, backlink audits, and ad copy retrieval automatically on your behalf. - Comprehensive keyword research and reporting: Let your agent fetch broad match keywords, generate batch keyword overviews, and analyze key SEO metrics like search volume and difficulty in real time. - Competitor and backlink analysis: Ask your agent to pull backlink profiles, perform batch comparisons of domains, and summarize backlink authority and link types for competitive intelligence. - Ad campaign and copy insights: Have the agent retrieve unique Google Ads copies for any domain, helping you benchmark and optimize your own ad strategies based on real competitor data. - Content and category profiling: Enable your agent to analyze and categorize domains or URLs, surfacing topic strengths and audience focus areas for smarter content planning. - Anchor text and authority monitoring: Direct your agent to report on anchor text distributions and authority score profiles, giving you actionable insights for improving link-building efforts. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SEMRUSH_ADS_COPIES` | Get ad copies | Retrieves unique ad copies semrush has observed for a specified domain from a regional database, detailing ads seen in google's paid search results. | | `SEMRUSH_ANCHORS` | Get anchor texts | Use this action to get a csv report of anchor texts for backlinks pointing to a specified, publicly accessible domain, root domain, or url. | | `SEMRUSH_AUTHORITY_SCORE_PROFILE` | Get authority score profile | Retrieves the authority score (as) profile for a specified target, showing the count of referring domains that link to the target for each as value from 0 to 100. | | `SEMRUSH_BACKLINKS` | Get backlinks | Fetches backlinks for a specified domain or url as a csv-formatted string, allowing customization of columns, sorting, and filtering; ensure `display limit` surpasses `display offset` when an offset is used, and note the `urlanchor` filter may have limitations for targets with extensive backlinks. | | `SEMRUSH_BACKLINKS_OVERVIEW` | Backlinks overview | Provides a csv-formatted summary of backlinks, including authority score and link type breakdowns, for a specified and publicly accessible domain, root domain, or url. | | `SEMRUSH_BATCH_COMPARISON` | Batch comparison | Compares backlink profiles for multiple specified targets (domains, subdomains, or urls) to analyze and compare link-building efforts. | | `SEMRUSH_BATCH_KEYWORD_OVERVIEW` | Batch keyword overview | Fetches a keyword overview report from a semrush regional database for up to 100 keywords, providing metrics like search volume, cpc, and keyword difficulty. | | `SEMRUSH_BROAD_MATCH_KEYWORD` | Broad match keyword | Fetches broad match keywords for a given phrase; `display sort` and `display filter` parameters are defined but currently not utilized by the api call. | | `SEMRUSH_CATEGORIES` | Get categories | Retrieves categories and their 0-1 confidence ratings for a specified domain, subdomain, or url, with results sorted by rating. | | `SEMRUSH_CATEGORIES_PROFILE` | Get categories profile | Retrieves a profile of content categories from referring domains for a specified target, analyzing its first 10,000 referring domains and sorting results by domain count. | | `SEMRUSH_COMPETITORS` | Get competitor data | Retrieves a customizable csv report of competitors for a specified target (root domain, domain, or url) based on shared backlinks or referring domains, ensuring the target is valid and its type is correctly specified. | | `SEMRUSH_COMPETITORS_IN_ORGANIC_SEARCH` | Get competitors in organic search | Use to get a domain's organic search competitors from semrush as a semicolon-separated string; `display date` requires 'yyyymm15' format if used. | | `SEMRUSH_COMPETITORS_IN_PAID_SEARCH` | Get competitors in paid search | Retrieves a list of a domain's competitors in paid search results from a specified regional database. | | `SEMRUSH_DOMAIN_AD_HISTORY` | Get domain ad history | Retrieves a domain's 12-month advertising history from semrush (keywords bid on, ad positions, ad copy) for ppc strategy and competitor analysis; most effective when the domain has ad history in the selected database. | | `SEMRUSH_DOMAIN_ORGANIC_PAGES` | Get domain organic pages | Fetches a report on a domain's unique organic pages ranking in google's top 100 search results, with options for specifying database, date, columns, sorting, and filtering. | | `SEMRUSH_DOMAIN_ORGANIC_SEARCH_KEYWORDS` | Get domain organic search keywords | Retrieves organic search keywords for a domain from a specified semrush regional database; `display positions` must be set if `display daily=1` for daily updates. | | `SEMRUSH_DOMAIN_ORGANIC_SUBDOMAINS` | Get domain organic subdomains | Retrieves a report on subdomains of a given domain that rank in google's top 100 organic search results for a specified regional database. | | `SEMRUSH_DOMAIN_PAID_SEARCH_KEYWORDS` | Get domain paid search keywords | Fetches keywords driving paid search traffic to a specified, existing domain using a supported semrush regional database. | | `SEMRUSH_DOMAIN_PLA_SEARCH_KEYWORDS` | Get PLA search keywords for a domain | Retrieves product listing ad (pla) search keywords for a specified domain from a semrush regional database. | | `SEMRUSH_DOMAIN_VS_DOMAIN` | Compare domains | Analyzes keyword rankings by comparing up to five domains to find common, unique, or gap keywords, using specified organic/paid types and comparison logic in the `domains` string. | | `SEMRUSH_HISTORICAL_DATA` | Get historical data | Retrieves monthly historical backlink and referring domain data for a specified root domain, returned as a time series string with newest records first. | | `SEMRUSH_INDEXED_PAGES` | Get indexed pages | Retrieves a list of indexed pages from semrush for a specified `target` (root domain, domain, or url) and `target type`, ensuring `target` is publicly accessible, semrush-analyzable, and correctly matches `target type`. | | `SEMRUSH_KEYWORD_DIFFICULTY` | Get keyword difficulty | Determines the keyword difficulty (kd) score (0-100, higher means greater difficulty) for a given phrase in a specific semrush regional database to assess its seo competitiveness. | | `SEMRUSH_KEYWORD_OVERVIEW_ALL_DATABASES` | Keyword overview all databases | Fetches a keyword overview from semrush for a specified phrase, including metrics like search volume, cpc, and competition. | | `SEMRUSH_KEYWORD_OVERVIEW_ONE_DATABASE` | Get keyword overview for one database | Fetches a keyword summary for a specified phrase from a chosen regional database. | | `SEMRUSH_KEYWORDS_ADS_HISTORY` | Get keywords ads history | Fetches a historical report (last 12 months) of domains advertising on a specified keyword in google ads, optionally for a specific month ('yyyymm15') or the most recent period, returning raw csv-like data. | | `SEMRUSH_ORGANIC_RESULTS` | Get organic results | Retrieves up to 100,000 domains and urls from google's top 100 organic search results for a keyword and region, returning a raw string; use `display date` in 'yyyymm15' format (day must be '15') for historical data. | | `SEMRUSH_PAID_RESULTS` | Get paid search results | Fetches domains ranking in google's paid search results (adwords) for a specified keyword and regional database. | | `SEMRUSH_PHRASE_QUESTIONS` | Phrase questions | Fetches question-format keywords semantically related to a given query phrase for a specified regional database, aiding in understanding user search intent and discovering content ideas. | | `SEMRUSH_PLA_COMPETITORS` | Get PLA competitors | Retrieves domains competing with a specified domain in google's product listing ads (pla) from a given semrush regional database. | | `SEMRUSH_PLA_COPIES` | Get PLA copies | Fetches product listing ad (pla) copies that semrush observed for a domain in google's paid search results. | | `SEMRUSH_REFERRING_DOMAINS` | Get referring domains | Retrieves a report as a text string (e.g., csv) listing domains that link to a target, with options to filter by type (not value). | | `SEMRUSH_REFERRING_DOMAINS_BY_COUNTRY` | Get referring domains by country | Generates a csv report detailing the geographic distribution of referring domains (by country, determined via ip address) for a specified, publicly accessible target. | | `SEMRUSH_REFERRING_I_PS` | Referring i ps | Fetches ip addresses that are sources of backlinks for a specified target domain, root domain, or url. | | `SEMRUSH_RELATED_KEYWORDS` | Find related keywords | Call this to find related keywords (including synonyms and variations) for a target phrase in a specific regional database; `display date` (if used for historical data) must be 'yyyymm15' for a past month. | | `SEMRUSH_TLD_DISTRIBUTION` | Get TLD distribution | Fetches a report on the top-level domain (tld) distribution of referring domains for a specified target, useful for analyzing geographic or categorical backlink diversity. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Semrush MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Semrush. Instead of manually wiring Semrush APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Semrush account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Semrush via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Semrush connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Semrush tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Semrush session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["semrush"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Semrush tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Semrush assistant agent with MCP tools agent = AssistantAgent( name="semrush_assistant", description="An AI assistant that helps with Semrush operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Semrush tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Semrush related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Semrush session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["semrush"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Semrush assistant agent with MCP tools agent = AssistantAgent( name="semrush_assistant", description="An AI assistant that helps with Semrush operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Semrush related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Semrush through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Semrush, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Semrush MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/semrush/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/semrush/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/semrush/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/semrush/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/semrush/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/semrush/framework/codex) - [Cursor](https://composio.dev/toolkits/semrush/framework/cursor) - [VS Code](https://composio.dev/toolkits/semrush/framework/vscode) - [OpenCode](https://composio.dev/toolkits/semrush/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/semrush/framework/openclaw) - [Hermes](https://composio.dev/toolkits/semrush/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/semrush/framework/cli) - [Google ADK](https://composio.dev/toolkits/semrush/framework/google-adk) - [LangChain](https://composio.dev/toolkits/semrush/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/semrush/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/semrush/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/semrush/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/semrush/framework/crew-ai) ## Related Toolkits - [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation. - [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation. - [Adyntel](https://composio.dev/toolkits/adyntel) - Adyntel is an API that retrieves LinkedIn ads for any company using a domain or LinkedIn Page ID. Easily access competitive ad intelligence to power your marketing workflows. - [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics. - [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign. - [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers. - [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend. - [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort. - [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors. - [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting. - [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place. - [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish. - [Stannp](https://composio.dev/toolkits/stannp) - Stannp is an API-driven direct mail platform for sending postcards and letters programmatically. It lets you automate physical mail delivery—no manual printing or mailing required. - [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs. - [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Semrush MCP? With a standalone Semrush MCP server, the agents and LLMs can only access a fixed set of Semrush tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Semrush and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen 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 Semrush tools. ### Can I manage the permissions and scopes for Semrush while using Tool Router? Yes, absolutely. You can configure which Semrush 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 Semrush data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)