3 AI agent management platforms to consider in 2026

AI agent management platforms let you control the data your agents can access and share. These platforms also offer visibility on the tool calls your agents make, which helps you uncover and resolve potential issues quickly.

But like any software category, you have a variety of platforms to choose from.

To help you pick the best AI agent management solution, we’ll break down your top options and highlight their pros and cons.

Merge

Merge Agent Handler provides enterprise-grade management features for any of your AI agents.

Top features

• Tool Packs: You're able to create bundles of connectors and tools that serve a specific agentic use case (e.g., sending R&D updates to the executive team over Slack). This provides your team with a centralized way to manage permissions, connector access, and policies across agents

• Customizable rules: You can set rules that determine the data types your AI agents can’t share, have to redact when sharing, or can share but have to log when doing so. These rules can also be applied across agents, for specific connectors and tools, in certain regions, among other dimensions

• Rule violation alerts: You’ll get visibility on the rules that were violated, along with helpful context on each violation—like the associated connectors and tools

• Audit trail: Track all of the actions your employees take, from the tools they add to the tests they run to the connectors they create 

Related: The best AI agent authentication tools 

Pros of using Merge Agent Handler to manage your AI agents

• Comprehensive management features and capabilities: Merge Agent Handler offers everything you need to manage your AI agents’ tool calls. This lets you avoid investing in multiple AI agent management tools, building your own tooling in-house, or using a single solution with key feature gaps

• Proven success with cutting-edge AI companies: Leading AI companies trust Merge Agent Handler to manage their AI agents—such as Perplexity. 

• Supports the full integration lifecycle: Merge Agent Handler also lets you connect your AI agents with thousands of enterprise-grade tools across dozens of MCP servers. And you can test any tool call before pushing the tool to production to confirm your agents respond to every potential input appropriately

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Composio

Composio lets you connect your agents to thousands of tools and observe the tool calls through a variety of features and functionality.

Top features:

• Tool call logs: For every tool call an AI agent makes, Composio provides details like the timestamp of the call, the tool that was invoked, the data passed to the tool, and whether the call was successful or not

• Customizable authentication support: You can use a variety of auth methods (i.e., OAuth 2, API keys, basic auth), scopes to control the data your agents can access and actions they can take, and configure or revoke credentials at runtime to provide fine-grained, least-privilege access control for each agent

• Centralized dashboard: You can get broad full visibility into your active AI agents. This includes seeing which ones are running, what tools and permissions they have, when and how they’re executing actions, and more

Pros of using Composio to manage your AI agents:

• Offers broad management capabilities: Like Merge Agent Handler, you can observe your AI agents and detect and troubleshoot issues quickly

• Provides role-based access control: You can prevent harmful activities on any agent by assigning users in Composio with specific, customizable roles

• Delivers enterprise-grade support: While it depends on the plan you're on, higher-tiered plans (particularly their “Enterprise” plan) allow you to get direct access to their team via Slack and even have a custom SLA. This can help you get any potential issues resolved for any tool call quickly and with minimal impact on end-users

Cons of using Composio to manage your AI agents:

• Features are code-based and complex to adopt: Unlike Merge Agent Handler, many of Composio’s features, including those for managing agents, are exposed through SDKs, APIs, and JSON schemas rather than polished UI dashboards

• Doesn’t support setting custom rules: You can’t set rules that dictate how your agents interact with and use specific data types; this prevents you from having full control over your agents’ behaviors and getting alerts when those rules aren’t followed

• There isn’t a built-in tool tester: You can’t easily test your tools before pushing them to production. This can introduce a variety of issues across your agents once they begin invoking them

• Lack of enterprise validation: Composio only has a handful of customer success stories, and nearly all of them are with relatively early stage companies. This suggests that their management features aren’t fully battle tested and may not be able to support complex, enterprise-scale agentic deployments

Related: Top Composio competitors

Zapier

Zapier MCP lets you securely connect your AI agents to thousands of apps through Zapier’s existing connectors. Each app’s actions can be exposed as callable tools within your agent’s environment, allowing the agent to execute real workflows via Zapier.

Top features:

• Compatible with various AI applications: You can use Zapier MCP within an AI app your team already works in, like Cursor or Claude

• Tracking tool activities: You can see when a tool is invoked, by whom, and the outcome of the call in a visually intuitive interface

• Customizable connectors and tools: Your team can potentially add to Zapier MCP’s existing tools and connectors to ensure they meet your agents’ use cases

Pros of using Zapier MCP to manage your AI agents:

• Available to every Zapier user: You don’t have to sign up for an additional plan to begin integrating agents with Zapier’s connectors, using the available tool calls, and monitoring their actions

• Lets you track your agents’ actions: Zapier MCP’s History tab shows each tool action with timestamps, tool name, input values, and outputs. You can even filter by individual tools to review specific actions more closely

• Get full visibility into your team’s activities: You can see when team members create, update, or delete Zapier MCP servers, as well as when they add, remove, or modify connected tools. This helps you monitor configuration changes and maintain compliance

Cons of using Zapier MCP to manage your AI agents:

• In Beta: While “Beta” is vague, it can mean that their tools haven’t been fully tested and validated, their monitoring features are shallow and prone to breaking, and their servers aren’t fully secured

• Heavy focus on other products: Zapier MCP is just one of many products Zapier provides, and it’s currently a low-revenue, experimental offering. As a result, Zapier isn’t likely to allocate the engineering resources necessary to keep improving Zapier MCP's management features and functionality at the rate you need

• ‍No customizable policy enforcement functionality: You can’t establish rules that dictate the data types your AI agents can access and share across—or for specific—tools

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