Integration
Connect Productboard to TensorFeed
When something happens in Productboard, your agent does the next thing in TensorFeed. Describe it 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 Productboard and TensorFeed 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 Productboard can start in TensorFeed
When New Feature in Productboard
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 Productboard and TensorFeed
Triggers and actions 4 triggers · 39 actions
- New Feature
Triggered when a new feature is created in Productboard.
- New Note
Triggered when a new note (a piece of customer feedback) is created in Productboard.
- Updated Feature
Triggered when a feature is created or changed in Productboard.
- Updated Note
Triggered when a note (a piece of customer feedback) is created or changed in Productboard.
- Create Company
Creates a company record in Productboard so customer feedback and insights can be attributed to it. Returns the new company's ID and a link to open it in Productboard.
- Create Feature
Creates a feature in Productboard under a product or component you choose. Optionally sets the description, owner and status. Returns the new feature's ID and a link to open it in Productboard.
- Create Note
Creates a note (a piece of customer feedback) in Productboard. Optionally attributes it to a company or customer, links it to a feature, and applies existing tags. Returns the new note's ID and a link to open it in Productboard.
- Find Note
Looks up a single note (customer feedback) in Productboard. Narrows the list by owner, created date and processed/archived state, then matches the text you give against the note's title and body. Returns the first match, or found=false.
- Get Company
Returns one company from Productboard by its ID, including its name, domain, description, owner and any custom fields set up in your workspace.
- Get Feature by ID
Returns one feature from Productboard by its ID, including its name, description, owner, status and any custom fields set up in your workspace.
- List Components
Returns the components in your Productboard workspace — the folders that features live under. Use a component's ID as the parent when creating a feature.
- List Members
Returns the people who have access to your Productboard workspace, with their email address and role. Optionally search by name or email and filter by role.
- List Note Relationships
Returns everything a Productboard note is linked to — the customer or company it came from and the features it has been connected to.
- List Products
Returns the products in your Productboard workspace — the top level of the product hierarchy. Use a product's ID as the parent when creating a feature or component.
- List Releases
Returns the releases in your Productboard workspace — the buckets features are grouped into for delivery — with their status and dates.
- Update Note
Changes an existing note in Productboard. Only the values you fill in are sent, so anything left empty keeps its current value.
- 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
Productboard and TensorFeed, answered
What can start an automation from Productboard?
Any of Productboard's 4 triggers in the catalog, including New Feature, New Note, Updated Feature and Updated Note. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Productboard?
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 Productboard?
TensorFeed has no triggers in the catalog today, so automations start in Productboard. 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 Productboard 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.
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.