Build solutions, not workarounds.
What do you want Rendobar and Leexi to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Rendobar can start in Leexi
When Job completed in Rendobar
then Add meeting event in Leexi
When Job completed in Rendobar
then Add team in Leexi
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Rendobar and Leexi
Triggers and actions 1 trigger · 32 actions
Trigger
Job completedFires when a job finishes (success/failure). Backed by the vendor's webhook endpoint delivery mechanism, filtered to job-completion events.
Action
Add assetInitialize an asset (media file) upload.
Action
Add jobCreate a media processing job (transcode, caption, watermark, etc).
Action
Cancel jobCancel a running job.
Action
Delete assetDelete an asset by id.
Action
Get assetGet details of an asset by id.
Action
Get jobGet details of a job by id.
Action
Get job logsGet execution logs for a job.
Action
Get job outputGet the download URL/content for a completed job's output.
Action
List assetsList uploaded assets.
Action
List jobsList jobs for the account.
Action
List job typesList available job types (transcode, caption, watermark, etc).
Action
List modelsList available generation/processing models.
Action
Add meeting eventCreate a meeting event (schedule a meeting to be recorded).
Action
Add teamCreate a team in your Leexi workspace.
Action
Add userCreates a user in your Leexi workspace. Requires the write_users permission scope on the API key.
Action
Delete meeting eventDeletes a Leexi meeting event. Requires the write_meeting_events permission scope on the API key.
Action
Delete teamDelete a team of the workspace.
Action
Delete userDeactivates a Leexi user. Leexi never permanently deletes users: their calls and history are kept, sessions are revoked and they stop consuming a license. Deactivating an already inactive user still succeeds.
Action
Get callGet a single Leexi call or meeting, including its topics, AI summary prompts, tasks and transcript.
Action
Get call noteRetrieve a single call note.
Action
Get meeting eventRetrieve a single meeting event.
Action
Get teamRetrieve a single team of the workspace.
Action
Get userRetrieve a single user of the workspace.
Action
Launch meeting assistantSends the Leexi meeting assistant (bot) into a meeting event, or stops the bot that is already running.
Action
List call notesList call notes for a given call.
Action
List callsList the calls and meetings the API key can access, newest first by default, with optional filters on date, source, owner, participants, conversation type and customer contact.
Action
List teamsList all teams in your Leexi workspace.
Action
List usersList all users in your Leexi workspace.
Action
Request presigned recording upload URLRequests a presigned URL for uploading a call recording before creating the call with Add call. Requires the write_calls permission scope on the API key.
Action
Update call noteUpdates the translated text of a call note for one language. The original note text is not modified. Requires the write_calls permission on the API key.
Action
Update teamUpdate the name or active status of a team in your Leexi workspace. Only the values you fill in are changed.
Action
Update userUpdates a Leexi user. Only the fields you fill in are changed.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Rendobar and Leexi, answered
What can start an automation from Rendobar?
Any of Rendobar's 1 trigger in the catalog, including Job completed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Leexi when something happens in Rendobar?
Any of Leexi's 20 actions, including Update call note, Update team, Update user and Add meeting event. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Leexi to Rendobar?
Leexi has no triggers in the catalog today, so automations start in Rendobar. If you need the other direction, ask: your agent reads Leexi's API documentation and adds it.
Do I have to build a connector for Rendobar or Leexi?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.