Best Composio Alternatives in 2026: 5 Tool Platforms Compared

Composio is a good platform. It handles OAuth for hundreds of SaaS integrations and has a large community. But it’s not the right fit for every project.

Common reasons people look for alternatives: subscription pricing doesn’t match their usage patterns, OAuth complexity is overkill for their use case, they want pay-per-call billing, or they need something that works out of the box with a CLI agent. Some teams also want more control over the tool layer or prefer a different protocol.

This post covers five alternatives, what each does well, and a comparison table to help you decide.

1. AgentPatch

AgentPatch is a tool marketplace built for AI agents. One API key gives you access to 50+ tools: web search, email, image generation, Google Maps, YouTube transcripts, financial data, news, and more. No OAuth setup, no SDK installation required.

The pricing model is pay-per-call using credits (1 credit = $0.0001 USD). A web search costs $0.003. An image generation costs $0.25. Failed calls get a full refund. There’s no monthly subscription and no minimum commitment.

What sets it apart from Composio is the focus on CLI agents. Tools work over four protocols: a CLI tool (npx agentpatch), MCP server, REST API, and Claude Code Skills. Responses are context-optimized for LLMs, meaning the output is structured to minimize token waste. A developer can connect Claude Code or Codex to AgentPatch and have working tools in under two minutes.

The trade-off: no per-user OAuth. AgentPatch tools run under the developer’s API key, not the end user’s account. This makes it fast to set up but unsuitable for multi-tenant products where users connect their own SaaS accounts.

2. Arcade

Arcade, backed by Okta, focuses on authenticated actions. The platform treats every tool call as a permissioned action tied to a specific user identity. If your agent needs to “send an email as the logged-in user” or “create a Jira ticket under their account,” Arcade provides the auth infrastructure for that.

The Okta connection gives Arcade deep expertise in identity and access management. It supports fine-grained permissions, audit logging, and enterprise compliance features. For teams building agents that act on behalf of end users inside regulated industries, Arcade addresses concerns that general-purpose tool platforms don’t.

The downside is scope. Arcade is purpose-built for authenticated, user-scoped actions. If you just need your agent to search the web or generate an image, the auth infrastructure adds friction you don’t need.

3. Toolhouse

Toolhouse positions itself as an MCP integration platform. It provides a registry of tools that agents can discover and call through the Model Context Protocol. The focus is on making MCP practical at scale: tool discovery, versioning, and execution management.

For teams already invested in MCP, Toolhouse offers a managed layer on top of the protocol. Instead of running your own MCP servers, you connect to Toolhouse and get access to their tool catalog. It works with Claude, GPT, and other models that support MCP.

The platform is newer and the tool catalog is smaller than Composio’s. Toolhouse is a good choice if you want a managed MCP experience but don’t need the OAuth breadth of Composio or the CLI speed of AgentPatch.

4. Nango

Nango is API auth infrastructure. It’s not a tool platform for AI agents; it’s a service that manages OAuth tokens, API keys, and authentication flows for any API. You use Nango to handle the auth, then build your own tool integrations on top.

This makes Nango more of a building block than a ready-made solution. If you want full control over how your agent calls external APIs but don’t want to manage token refresh and OAuth flows yourself, Nango sits in the middle. It supports 250+ API providers and handles token storage, refresh, and proxy requests.

The trade-off is clear: you get flexibility at the cost of doing more work. Nango doesn’t provide pre-built tool schemas, context-optimized responses, or agent-aware error handling. You build that yourself.

5. Self-Hosted MCP Servers

The free option. You run your own MCP servers that wrap the APIs your agent needs. The Model Context Protocol is open, and building a basic MCP server takes a few hours for a single API integration.

Full control is the advantage. You own the code, the data stays on your infrastructure, and there are no per-call fees. For teams with strict data residency requirements or custom APIs, self-hosting is sometimes the only option.

The burden is maintenance. Each MCP server needs error handling, rate limiting, retries, schema validation, and monitoring. When an API changes its endpoints or auth flow, you fix it. Multiply that by ten or twenty integrations and the maintenance load adds up. Most teams underestimate this cost until they’re deep in it.

Feature Comparison

How to Choose by Use Case

“I need my CLI agent to search the web, send emails, and generate images.” AgentPatch. No setup overhead, pay for what you use, works with Claude Code and Codex out of the box.

“I’m building a SaaS product where users connect their Google and Slack accounts.” Arcade or Composio. Per-user OAuth is a core requirement, and both platforms handle it well. Arcade if you need enterprise identity features; Composio if you need breadth of integrations.

“I want managed MCP with a tool catalog.” Toolhouse. It’s purpose-built for MCP at scale.

“I need to connect to APIs but want to build my own tool layer.” Nango. It handles the auth; you handle everything else.

“I have strict data residency requirements and internal APIs.” Self-hosted MCP servers. More work, but full control.

Wrapping Up

Composio is a strong default for teams that need managed OAuth across many SaaS integrations. But defaults aren’t universal. If your use case is simpler, more specialized, or has different constraints, one of these five alternatives will save you time, money, or both.

The tool platform space is still young. New options appear often, and existing platforms add capabilities fast. Pick the one that matches your current needs, and revisit the decision as your agent’s requirements evolve.