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Composio vs n8n: when to choose one over the other

Jon Gitlin
Senior Content Marketing Manager
at Merge

If you’re looking to for a solution to connect your AI agents with MCP servers and monitor tool calls, you’ll likely come across Composio and n8n.

To help you determine if either is right for your AI agents, we’ll break down how they work, their respective pros and cons, and compare them directly.

Composio

Composio provides thousands of tools across 100+ MCP servers and handles the cumbersome and complex parts of the integrations, such as agent authentication.

Pros 

  • Broad tool coverage: This enables you to support countless agentic use cases, whether they’re internal (agentic workflows within your company) or customer-facing (agentic workflows between your product and your customers’ applications)
  • Robust framework adapters: Composio offers adapters with LLM frameworks like LangChain and CrewAI to help you integrate Composio’s tool ecosystem into your existing agent workflows
  • Multi-language SDKs: Composio supports SDKs in Python and TypeScript to make it easier, safer, and faster to connect AI agents to real-world tools 

Cons

  • Narrow integration support: You can’t use Composio to support any of your other integration needs, such as API-based product integrations or task-based automations built on custom scripts
  • Minimal agent observability: Composio doesn’t let you set rules that guide how your agents interact with data, create alerts based on rule violations, among other features and functionality that are table stakes for managing AI agents
  • Newly-established company: Composio was founded just a couple of years ago (2023), which likely means that their team and product are a work in progress and will undergo several iterations

Related: The top alternatives to Composio

n8n

n8n is an open-source workflow automation platform that can streamline your internal and product’s processes. It also offers an MCP Client Tool, which allows you to connect to any exposed tools from a 3rd-party MCP server.

Pros 

  • Granular control on tool calls: You can explicitly define the tools your agents can and can’t call from an MCP server via parameters (e.g., “All Except” parameter outlines the tools that an agent can’t access from an MCP server)
  • Extremely customizable workflow automations: n8n lets you combine tool calls, API requests, database queries, and conditional logic within a single workflow, enabling you to support endless cutting-edge workflow automations
  • Offers thousands of automation templates: Regardless of your integration and automation use case, you can get started quickly with n8n’s library of 6k+ automation templates. These templates can be easily filtered by departments and through searches to help you find the most relevant template, quickly

Cons

  • Dependence on external MCP servers: n8n doesn’t provide and maintain their own MCP servers; they force you to pick external MCP servers. Since many are poorly implemented and maintained, this can lead to issues in your agentic workflows
  • Lacks robust tool-call observability: n8n isn’t purpose-built to help you manage or govern your AI agents. As a result, features like rule-based control over tool calls and alerts based on rule violations aren’t available out of the box
  • Complex workflow builder interface: Despite their low-code branding, n8n still requires technical expertise to use. This prevents most of your teams and employees from using it to set up agentic workflows 

Given all the pros and cons of each solution, it can be hard to decide on the one that’s best for building integrations with your AI agents. To help you navigate this decision more easily, we’ll compare them directly next.

n8n vs Composio

If you’re looking for a single solution to support your company’s and product’s integrations and automations and agentic integrations aren’t a business priority, n8n is a better choice. But if you’re primarily focused on offering reliable and secure integrations for AI agents, Composio is the better option.

Features Composio n8n
Primary use case Supporting your agents tool calls with hundreds of MCP servers Supporting any of your internal or customer-facing workflow automations
Target audience Developers who are actively building agents and need help connecting their AI agents to tools Developers, product managers, and go-to-market teams who need to build integrations and automations to support internal and/or product workflows
Agent development Only supports connecting AI agents with 3rd-party tools Lets you also design agentic chatbots that use any LLM provider you want
Authentication support They offer OAuth2, API key/bearer token, basic auth, and hybrid combinations You can use basic auth, header auth, OAuth2, and query parameter auth
MCP server support Builds and maintains 100+ MCP servers and thousands of tools Uses external MCP servers and tools
Pricing Charges primarily on tool call volume per month Charges primarily on workflow execution volume per month

Get the best of both solutions with Merge Agent Handler 

Merge Agent Handler lets you securely connect your agents to thousands of tools. And unlike n8n and Composio, Merge Agent Handler offers:

  • Powerful and comprehensive observability features: Set rules that dictate the data your agents can access and share, build alerts for rule violations, access fully-searchable logs to drill down on individual tool calls, use audit logs to review changes to your connectors and tools—and more
A screenshot of logs in Agent Handler
Leverage the logs dashboard to filter logs across tool calls and API requests and click into any for granular insights
  • A robust Evaluation Suite: Test any of your tools across prompts and see whether your agents call the right tools and generate expected outputs
Merge Agent Handler lets you create custom pass/fail evaluations, as described above
Merge Agent Handler lets you create custom pass/fail evaluations through its Label Model Evaluator
  • An intuitive UI for adding and modifying connectors and tools: Through Merge Agent Handler’s Connector Studio, you can access dozens of pre-built connectors, generate new ones with AI, and modify individual connectors’ tools, whether it’s their names, descriptions, or schema
  • Simple pricing model: Merge doesn’t vary pricing by the type of tool your agents need to call; every tool is treated the same and the price plans primarily vary by tool call volume

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Jon Gitlin
Senior Content Marketing Manager
@Merge

Jon Gitlin is the Managing Editor of Merge's blog. He has several years of experience in the integration and automation space; before Merge, he worked at Workato, an integration platform as a service (iPaaS) solution, where he also managed the company's blog. In his free time he loves to watch soccer matches, go on long runs in parks, and explore local restaurants.

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But Merge isn’t just a Unified 
API product. Merge is an integration platform to also manage customer integrations.  gradient text
But Merge isn’t just a Unified 
API product. Merge is an integration platform to also manage customer integrations.  gradient text
But Merge isn’t just a Unified 
API product. Merge is an integration platform to also manage customer integrations.  gradient text
But Merge isn’t just a Unified 
API product. Merge is an integration platform to also manage customer integrations.  gradient text