1. Observe
Trace every tool call, change and outcome in real time — and the token cost when the run uses your API key. No hidden operations.
Build with Claude Code, Codex, Cursor or any MCP client. OBTO is the MCP-native platform where the AI client you already use builds, deploys and verifies full-stack applications: a receipt on every run, restore points on every change, your code exportable to GitHub, one flat price per app.
No seat taxes, no token metering. One flat price per plan, billed per deployed application. Your AI client or API key carries the model spend.
Not locked to one model. Not locked to one AI client. Your code is yours.
Trace every tool call, change and outcome in real time — and the token cost when the run uses your API key. No hidden operations.
Standardize how your models talk to your data using the open Model Context Protocol (MCP).
Validate the app, call the real routes, and restore any change from its restore point.
Push your application's source to GitHub any time. Self-hosted runtimes are an Enterprise engagement.
Deploy an agent that reads tickets, queries your CMDB, and resolves common ITSM requests — without human intervention.
Build, host, and version observable MCP tools that Claude, GPT, or Codex can call — all from one deployment target.
Extract, normalize, and load messy data using LLMs as the transformation layer. No brittle ETL scripts.
Role-based access portals where each user gets a tailored AI assistant scoped to their data and permissions.
Every agent run leaves a receipt: tool calls, changes, outcomes, and token spend when the run uses your API key — no hidden operations.
Claude architects the backend, Codex extends the frontend — in the same app, on the same platform. Try that anywhere else.
Start fast on our managed cloud. When compliance or cost demands it, shift your workloads to your own Kubernetes infrastructure with zero code changes.
Connect to ServiceNow, databases, and internal APIs using the Model Context Protocol. No more brittle, proprietary vendor connectors.
You built the workflow, it belongs to you. We provide the engine and the built-in storage, but you retain full ownership of your IP and logic.
The OBTO plugin, its skills and the MCP bootstrap server are Apache-2.0 on GitHub, and the protocol is open MCP. The hosted platform is ours to run for you. Either way, OBTO makes AI show its work: every run leaves a receipt you can read.
Transparent, AI-assisted learning and tutoring flows for universities.
Agentic copilot for ServiceOps. Resolve IT tickets with fully audited actions.
Design, publish, and observe MCP tools for any LLM. Version-controlled.
The core runtime to build, monitor, and scale transparent AI apps.
Run OpenAI, Anthropic, Ollama, and open-weight models side-by-side.
Compose tool-using agents with strict, auditable guardrails.
Built from the ground up to support the Model Context Protocol.
Secure execution environments with built-in logging and per-run receipts.
Design purpose-built agents for research, automation, and ETL. Deploy them with versioned releases, enforce strict policy guardrails, and track every action with the Glass Box dashboard.
A complete, opinionated runtime for Agentic apps. Designed for the enterprise that wants speed today, and total architectural ownership tomorrow.
Sign in and get your personal MCP endpoint in under a minute. Connect your AI client and start building immediately.
Get your MCP endpoint →No seat licenses. No setup. Pay only for what your agents use.
The "Glass Receipt" ensures you never wonder why an agent made a decision or what it cost.
Embrace MCP to break free from proprietary tool-calling silos.
Containerized architecture means your workflows can migrate in-house seamlessly.
Policy sandboxing and deep audit trails protect your enterprise data.
Zero surprises. One flat price per plan, billed per deployed application — never per token, never metered. Bring your own AI client (Claude, ChatGPT, Cursor) or your own API key, and you keep your LLM spend.
Connect Claude Desktop, Cursor, or ChatGPT to OBTO's MCP endpoint — or bring your own key on OpenRouter, Anthropic, or OpenAI. You bring the model; we host the application. Billed per app, not per token.
Start free — 1 application, MCP access included, basic Glass Box tracing. No card required.
Beyond 20 apps? Self-hosted on your K8s, bring your own models (BYOM), custom MCP integrations, dedicated support + SLA.
Bring your own AI — your client or your key on OpenRouter, Anthropic, or OpenAI. See full pricing details →
One flat price per plan, billed per deployed application — never per token. You bring your own AI, so your model spend stays with your provider, and Glass Box tracing still shows you exactly what every agent did.
Not as a self-serve option today. Self-hosting is an Enterprise engagement, scoped and supported under a separate agreement. Your application code is exportable to GitHub on every plan.
Bring your own client — Claude, ChatGPT, Cursor, or any MCP client — or your own key on OpenRouter, Anthropic, or OpenAI. We use the Model Context Protocol (MCP) to standardize tool connections.
Visibility doesn't mean vulnerability. We never train on your data, all connections are encrypted, and we enforce strict Role-Based Access Controls.
How transparent, observable agents are reshaping the way teams build and deploy an AI workforce.
Read article →Bring your own AI and keep your model spend. OBTO charges a flat price per deployed application — see exactly how it works.
See pricing →Deploy your first observable Agentic workflow today. Scale transparently tomorrow.