Integration
Connect GoHighLevel to TensorFeed
When New or updated contact fires in GoHighLevel, your agent runs Buy credits in TensorFeed. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want GoHighLevel and TensorFeed to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any 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 GoHighLevel can start in TensorFeed
When New or updated contact in GoHighLevel
then Buy credits in TensorFeed
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 GoHighLevel and TensorFeed
Triggers and actions 1 trigger · 56 actions
- New or updated contact
Triggered when a contact is created or updated in your HighLevel sub-account.
- Create appointment
Book a new calendar appointment.
- Create note
Add a note to a contact.
- Create opportunity
Creates a new opportunity for a contact in a pipeline. Unlike Upsert opportunity it never updates an existing one; whether HighLevel allows a second opportunity for the same contact in the same pipeline depends on the sub-account's duplicate-opportunity setting.
- Create task
Create a task on a contact.
- Delete appointment
Cancel/delete a calendar event or appointment.
- Delete contact
Delete a contact.
- Delete note
Delete a note from a contact.
- Delete task
Delete a task from a contact.
- Find contacts
Search contacts by name, email, phone, or other criteria.
- Find conversations
Search conversations by contact or other criteria.
- Find opportunities
Search opportunities by pipeline, stage, contact, or other criteria.
- Get appointment
Retrieve a single calendar appointment by ID.
- Get calendar
Retrieve a single calendar's configuration by ID.
- Get contact
Retrieve a single contact by ID.
- Get conversation
Retrieve a single conversation by ID.
- Get note
Retrieve a single note on a contact.
- Get opportunity
Retrieve a single opportunity by ID.
- List calendar events
List calendar events within a date range.
- List calendars
List all calendars for the location.
- List notes
List all notes on a contact.
- List tasks
List all tasks on a contact.
- Remove tags from contact
Remove one or more tags from a contact.
- Send a message
Send an SMS, email, or other conversation message to a contact.
- Update appointment
Update an existing calendar appointment.
- Update contact
Update an existing contact's fields.
- Update note
Update an existing note on a contact.
- Update task
Update an existing task on a contact.
- Upsert contact
Create a contact or update it if a matching contact already exists.
- Upsert opportunity
Create an opportunity or update it if a matching one already exists.
- Buy credits
Initiate a credit purchase against a sender wallet.
- Find AI news
Full-text search across the AI news archive.
- Get AFTA adopter directory
Fetch the machine-readable AFTA adopter directory.
- Get AI agent directory
Fetch a curated directory of AI agents and frameworks.
- Get AI benchmark scores
Fetch public benchmark scores for major AI models.
- Get AI ecosystem daily brief
Fetch a composite daily brief covering the AI ecosystem.
- Get AI model pricing and specs
Fetch pricing and specs for AI models.
- Get AI news
Fetch aggregated AI news articles.
- Get AI podcast episodes
Fetch recent AI podcast episodes.
- Get AI service status
Fetch operational status for major AI services.
- Get benchmark trust verdict
Fetch a trust band and score for an AI benchmark.
- Get cheapest GPU offer
Fetch the cheapest current offer for a canonical GPU.
- Get cross-provider model catalog
Fetch a cross-provider AI model catalog snapshot from OpenRouter.
- Get failover verdict
Fetch the best operational failover target when a provider degrades.
- Get GPU rental pricing
Fetch current GPU rental pricing snapshot.
- Get HF daily papers
Fetch Hugging Face Daily Papers with community signal.
- Get historical snapshot
Fetch one historical daily snapshot by date and type.
- Get hot AI GitHub issues
Fetch currently-hot GitHub issues across AI repos.
- Get LLM endpoint latency probes
Fetch the last 24 hours of LLM endpoint latency probes.
- Get MCP server registry snapshot
Fetch a daily summary of the MCP server registry.
- Get model deprecation calendar
Fetch the AI model deprecation calendar.
- Get recent arXiv papers
Fetch the most recent AI/ML arXiv submissions.
- Get stack safety verdict
Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.
- Get trending AI GitHub repos
Fetch trending GitHub repositories in AI.
- Get trending AI papers
Fetch daily citation-ranked AI/ML papers from Semantic Scholar.
- Get trending Hugging Face models
Fetch top trending Hugging Face models, datasets, and Spaces.
- Get trending Reddit AI threads
Fetch currently-hot AI discussion threads on Reddit.
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
GoHighLevel and TensorFeed, answered
What can start an automation from GoHighLevel?
Any of GoHighLevel's 1 trigger in the catalog, including New or updated contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in GoHighLevel?
Any of TensorFeed's 27 actions, including Buy credits, Find AI news, Get AFTA adopter directory and Get AI agent directory. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TensorFeed to GoHighLevel?
TensorFeed has no triggers in the catalog today, so automations start in GoHighLevel. If you need the other direction, ask: your agent reads TensorFeed's API documentation and adds it.
Do I have to build a connector for GoHighLevel or TensorFeed?
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.
Can my AI client use GoHighLevel and TensorFeed without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
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.