Integrations·AI & ML
Gemini + OpenClaw
Give your autonomous agents a live connection to Gemini: managed, secure, and ready in minutes.
Gemini is Google's multimodal AI platform for generating text, video, and rich chat completions. On Molted, your OpenClaw agents connect to Gemini through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Gemini, autonomously and within the guardrails you set.
Available actions
9 ready-to-use Gemini actions.
Your OpenClaw agents can call any of these Gemini actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
GEMINI_COUNT_TOKENS
Count Tokens (Gemini)
Counts the number of tokens in text using gemini tokenization. useful for estimating costs, checking input limits, and optimizing prompts before making api…
GEMINI_DOWNLOAD_VIDEO
Download Video (Veo)
Downloads a generated veo video to local storage. takes the video uri from a completed operation and saves it to the specified file path.
GEMINI_EMBED_CONTENT
Embed Content (Gemini)
Generates text embeddings using gemini embedding models. converts text into numerical vectors for semantic search, similarity comparison, clustering, and…
GEMINI_GENERATE_CONTENT
Generate Content (Gemini)
Generates text content from prompts using gemini models. supports various models like gemini flash and pro with configurable temperature, token limits, and…
GEMINI_GENERATE_IMAGE
Generate Image (Gemini 2.5 Flash)
Generates images from text prompts using gemini 2.5 flash image preview model. supports creative image generation with customizable parameters like aspect…
GEMINI_GENERATE_VIDEOS
Generate Videos (Veo)
Generates videos from text prompts using google's veo models. creates high-quality video content with customizable aspect ratios, duration, and style controls…
GEMINI_GET_VIDEOS_OPERATION
Get Videos Operation (Veo)
Checks the status of a veo video generation operation. use the operation name from generatevideos to track progress and get the download url when complete.
GEMINI_LIST_MODELS
List Models (Gemini API)
Lists available gemini and veo models with their capabilities and limits. useful for discovering supported models and their features before making generation…
GEMINI_WAIT_FOR_VIDEO
Wait For Video (Veo)
Polls a veo video generation operation until completion or timeout. automatically checks status at intervals and returns the final video url when ready.
How the connection works
Connect once. The agent acts.
Gemini needs no credentials: it works out of the box the moment your agent requests it. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
The agent requests access
Your OpenClaw agent asks for Gemini when a task needs it.
02
You approve the connection
Authorize Gemini once (No auth). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to Gemini autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Gemini on Molted, answered.
Q.01
Can OpenClaw agents use Gemini on Molted?
Yes. Gemini is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Gemini straight away, with no integration code to write or maintain.
Q.02
How do I connect Gemini to my agent?
Gemini needs no credentials: it works out of the box the moment your agent requests it.
Q.03
What can an agent actually do with Gemini?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. With Gemini, your agent can call models for generation, classification or extraction inside a workflow.
Q.04
Is my Gemini data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Gemini access at any time.
Q.05
Do I have to run any infrastructure to use Gemini?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Gemini is a configuration step, not an engineering project.
Q.06
Will the Gemini connection stay live for an always-on agent?
Yes. Molted keeps Gemini connections healthy for long-running agents, refreshing tokens and surfacing any re-auth, so autonomous workflows that depend on Gemini keep running.
Ship agents that use Gemini, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.