Openai

Openai MCP integration

Reports on running batch and fine-tuning jobs, maintains and searches vector stores, transcribes or voices audio, and runs moderation and evals.

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126actions available

Three actions you can hand over today

Every action runs live through MCP. Nothing to build, nothing to maintain.

  • Create chat completion

    Lyro generates conversational responses using OpenAI models to solve customer problems instantly. The customer gets precise, helpful answers powered by advanced reasoning.

  • Search vector store

    Lyro searches an OpenAI vector store to find the most relevant document chunks for a customer query. Results are ranked by relevance so the agent answers with the most accurate sources.

  • Upload file

    Lyro uploads files to OpenAI for use in embeddings, batch processing, or assistant tools. The files are now available for all downstream API calls that reference them.

See all 126 actions

How businesses use Openai + Lyro

Each card is one request a support team gets, and the Openai actions Lyro runs to close it.

  • Check on the jobs already running

    Lyro lists the batches in flight, retrieves the one in question with its status, and reads the events logged against a fine-tuning job, so whether a run finished is answered without opening a dashboard.

    List BatchesRetrieve BatchList Fine-Tuning Job Events

  • Keep a vector store current and searchable

    Lyro adds the new document to the vector store, searches it to confirm the content comes back, and removes the file a policy change made obsolete, so retrieval stays aligned with the source.

    Create Vector Store FileSearch Vector StoreDelete Vector Store File

  • Move a file between audio and text

    Lyro transcribes a recording, translates a foreign-language file into English, and voices a written answer as speech, so a call recording or a written reply changes format on request.

    Create Audio TranscriptionCreate Audio TranslationCreate Speech (TTS)

  • Check output before it goes anywhere

    Lyro runs a moderation pass over the text, starts an evaluation run against a defined eval, and grades the result, so a change is measured rather than shipped on the strength of one spot check.

    Create ModerationCreate Evaluation RunRun Grader

How it works

Get started in 3 steps

Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the Openai actions it has and picks the ones a request needs.

  1. 01

    Connect Openai

    Authorize the Openai account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.

  2. 02

    Tell your agent what you need

    Describe the job the way you would hand it to a teammate. Lyro maps it to the Openai actions that close it and chains as many as the request needs.

  3. 03

    Watch it work

    The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.

    Get started free
Openai · Lyro

Everything else about Openai

Setup, permissions, and the limits of what Lyro can do inside Openai.

  • It can count them, not price them. Get Input Token Counts returns the token count for an input before it is sent, and List Batches with Retrieve Batch show the volume already processed. Billing is not part of this toolkit, so an actual figure still comes from OpenAI's own usage reporting.

Every action available in Openai

All 126 actions your agent can call on Openai, straight from the live MCP connection.

  • Add upload part

    Add a part (chunk of bytes) to an Upload object.

  • Cancel batch

    Cancel an in-progress batch.

  • Cancel evaluation run

    Cancel an ongoing evaluation run.

  • Cancel response

    Cancel a background model response by its ID.

  • Cancel run

    Cancel a run that is currently in progress.

  • Cancel upload

    Cancel an upload.

  • Compact response

    Compact a conversation or response to reduce token usage.

  • Create audio transcription

    Transcribe audio files to text via OpenAI Audio Transcriptions API.

  • Create audio translation

    Translate audio files to English text via OpenAI Audio Translations API.

  • Create batch

    Create and execute a batch from an uploaded file of requests.

  • Create chat completion

    Create a chat completion response from OpenAI models.

  • Create completion (legacy)

    Generate text completions using OpenAI's legacy Completions API.

  • Create container

    Create a new container with configurable memory, expiration, file access, and network policies.

  • Create container file

    Create a file in a container.

  • Create conversation

    Create a new conversation for multi-turn interactions.

  • Create conversation items

    Create items in a conversation with the given ID.

  • Create embeddings

    Generate text embeddings via the OpenAI embeddings endpoint.

  • Create eval

    Create an evaluation structure for testing a model's performance.

  • Create evaluation run

    Create a new evaluation run for testing model configurations.

  • Create fine-tuning job

    Create a fine-tuning job which begins the process of creating a new model from a given dataset.

  • Generate image

    Generate an image via the OpenAI Images API and return hosted image asset URL and metadata.

  • Edit image

    Create edited or extended images via OpenAI Images Edit API.

  • Create image variation

    Create a variation of a given image using the OpenAI Images API.

  • Create message

    Create a new message in a specific thread.

  • Create moderation

    Classify text and/or image inputs for potentially harmful content via the OpenAI Moderation API.

  • Create realtime call

    Create a Realtime API call over WebRTC and receive the SDP answer needed to complete the peer connection.

  • Create realtime client secret

    Create an ephemeral client secret for authenticating Realtime API connections.

  • Create realtime session

    Create an ephemeral API token for client-side Realtime API applications.

  • Create realtime transcription session

    Create an ephemeral API token for realtime transcriptions via the Realtime API.

  • Create response

    Generate a one-shot model response via the Responses API.

The tools Openai sits next to

Same connection, same setup. Pick the next one your team already uses.

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Ready to connect Openai?

Authorize the account and your agent has all 126 actions from the first conversation.

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