OpenAI Codex CLI
OpenAI's native coding agent. MCP via the OpenAI Apps SDK schema.
OpenAI's terminal-native coding agent. Supports MCP via the Apps SDK with an OpenAI-flavoured schema. Strong on SWE-bench under the latest GPT models. Trustvice Receipts attaches via MCP with the OpenAI schema variant.
Beta
Status
MCP server
Pattern
Managed SaaS — nothing to install
Runtime
Not yet published
SDK version
Readiness
What “Beta” means for OpenAI Codex CLI
The integration path is built and tested. Real customers can attach now, but expect minor breaking changes until the 1.0 contract freeze.
How it attaches
MCP server.
OpenAI Codex CLI is an MCP host. Add the Trustvice MCP server to ~/.codex/config.toml — it then records in-flow.
Add the Trustvice MCP server to your agent host's MCP configuration. Three lines in your config file.
- 1
Add the server to your MCP config
Edit ~/.codex/config.toml and add a `trustvice` entry under `mcp_servers`. Note that OpenAI Codex CLI uses `mcp_servers` — MCP hosts differ here, so a snippet copied from another host may be silently ignored.
- 2
Restart the host
OpenAI Codex CLI reads this config at startup — restart it, then the Trustvice tools appear in its available-tools list.
- 3
Verify
Run any tool call through the host. The dashboard's Witness page shows the record within ~1 second. For implicit recording on every action, pair this with the LLM proxy.
[mcp_servers.trustvice]
url = "https://api.trustvice.com/api/ingest/mcp"
http_headers = { Authorization = "Bearer twk_abc123" }Coverage
2 event types captured.
agent.invocationEvery top-level agent run — the input, the resolved output, timing, and token usage.
tool.callEach tool / function the agent invokes, with arguments and the returned result.
The full pattern guide
MCP server — end to end.
Every framework on this pattern shares the same platform-side spine, endpoints, and gotchas. The pattern guide covers them in full.
Read the MCP server guideNeed help landing OpenAI Codex CLI?
Talk to the integration team.
We help you land the integration end to end — including the parts that live in your environment.
Request integration helpRegeln festlegen. Jeden Lauf prüfen lassen.
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