Every agent rebuilds the same plumbing. It doesn’t have to.
Integrations, OAuth, tool schemas, credentials and a bill per provider: the work around an AI agent repeats from project to project. Here is that work, and where Agent200 takes it off your hands.
2 min read
Most of the work around an AI agent has nothing to do with the agent. Before it can answer a single question, someone has to connect it to the services it needs, handle each user’s authorization, describe every operation as a tool, and keep a separate account with every model and data provider. Then the next agent starts, and the same work starts again.
What an agent actually needs
Picture an assistant that helps people manage their work. It reads messages, checks email, searches the web, uses one model for quick tasks and another for harder reasoning, and takes actions through external APIs. Each of those abilities brings its own engineering:
- Integrating with each service and learning its endpoints, request formats and responses.
- Running OAuth for every account type: callbacks, token storage and token refresh.
- Mapping every end user to their own connected accounts, and never mixing them up.
- Describing each operation as a tool the model can call, then writing the code that executes it.
- Keeping an API key, an account and a bill for every model and paid provider.
None of this is what makes your agent good. It is plumbing, and it is repeated across agents, applications and teams.
The same work, done once
Agent200 is unified infrastructure for AI agent developers. Models, connectors, managed OAuth, reusable workflows and paid services come through one SDK and one API key. Here is where the work moves:
| The job | Building it yourself | With Agent200 |
|---|---|---|
| Integrations | One per service, written and maintained by you | Connectors for every supported service |
| OAuth | Callbacks, token storage and refresh, per service | Managed for every supported connector |
| Tools | A schema and execution code for each operation | Connector operations and workflows, exposed as tools |
| Execution | Your own tool-calling loop | The run() loop, executed by Agent200 |
| Models and paid services | One key and one bill per provider | One Agent200 API key, one statement |
What stays yours
Agent200 does not ask you to rebuild around a new framework. Whether your agent runs on LangGraph, the OpenAI Agents SDK, another framework or plain application code, you add the SDK where the agent needs to reach the outside world.
The developer builds the agent. Agent200 provides and executes its external capabilities.
You keep the orchestration, the business logic and the schedule. If a brief should go out every Sunday, your application decides when to make the call; Agent200 makes sure that, when it does, the right tools are there and run for the right user.
The next service is configuration
The payoff grows over time. Once Agent200 is in your stack, adding another supported service is a configuration step and a line in your request, not a new integration project. Every workflow you build and every account your users connect stays available to the next feature.
Browse the services in the integrations catalog, or see how the platform fits beside the agent you already have.
