Integration
Connect Planfix to TensorFeed
When New Comment fires in Planfix, 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 Planfix 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Planfix can start in TensorFeed
When New Comment in Planfix
then Buy credits in TensorFeed
When New Contact in Planfix
then Find AI news 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 Planfix and TensorFeed
Triggers and actions 6 triggers · 45 actions
Trigger
New CommentTriggers when a new comment is added to a chosen Planfix task.
Trigger
New ContactTriggers when a new contact is created in Planfix.
Trigger
New projectTriggers when a new project is created in Planfix.
Trigger
New TaskTriggers when a new task is created in Planfix.
Trigger
Updated ContactTriggers when a Planfix contact is created or changed.
Trigger
Updated TaskTriggers when a Planfix task is created or changed.
Action
Add checklist itemAdds a checklist item to a Planfix task, optionally assigned, completed, or nested under another item.
Action
Add CommentAdds a comment to a Planfix task.
Action
Add ContactCreates a new contact or company in Planfix.
Action
Add file from URLUploads a file to Planfix from a public link and returns the new file's ID.
Action
Add projectCreates a new project in Planfix, with optional status, owner, template, group, counterparty, dates, people and custom field values.
Action
Add TaskCreates a new task in Planfix.
Action
Delete CommentDeletes a Planfix comment.
Action
Delete ContactDeletes a Planfix contact.
Action
Delete projectDeletes a project in Planfix by its number.
Action
Delete TaskDeletes a Planfix task.
Action
Find a ContactReturns Planfix contacts or companies, optionally only those from a saved contact filter.
Action
Find a TaskReturns Planfix tasks, optionally only those from a saved task filter.
Action
Find directory entries by criteriaFinds entries in a Planfix directory matching your criteria, such as a group, a saved filter, or custom field filters.
Action
Get contactReturns a Planfix contact or company by its number, including its details and any requested custom field values.
Action
Get userReturns a Planfix employee (user) by number, including name, contact details, role, status, groups and custom field values.
Action
Update CommentChanges the text of a comment on a Planfix task.
Action
Update ContactUpdates an existing Planfix contact.
Action
Update TaskUpdates the name or description of an existing Planfix task.
Action
Buy creditsInitiate a credit purchase against a sender wallet.
Action
Find AI newsFull-text search across the AI news archive.
Action
Get AFTA adopter directoryFetch the machine-readable AFTA adopter directory.
Action
Get AI agent directoryFetch a curated directory of AI agents and frameworks.
Action
Get AI benchmark scoresFetch public benchmark scores for major AI models.
Action
Get AI ecosystem daily briefFetch a composite daily brief covering the AI ecosystem.
Action
Get AI model pricing and specsFetch pricing and specs for AI models.
Action
Get AI newsFetch aggregated AI news articles.
Action
Get AI podcast episodesFetch recent AI podcast episodes.
Action
Get AI service statusFetch operational status for major AI services.
Action
Get benchmark trust verdictFetch a trust band and score for an AI benchmark.
Action
Get cheapest GPU offerFetch the cheapest current offer for a canonical GPU.
Action
Get cross-provider model catalogFetch a cross-provider AI model catalog snapshot from OpenRouter.
Action
Get failover verdictFetch the best operational failover target when a provider degrades.
Action
Get GPU rental pricingFetch current GPU rental pricing snapshot.
Action
Get HF daily papersFetch Hugging Face Daily Papers with community signal.
Action
Get historical snapshotFetch one historical daily snapshot by date and type.
Action
Get hot AI GitHub issuesFetch currently-hot GitHub issues across AI repos.
Action
Get LLM endpoint latency probesFetch the last 24 hours of LLM endpoint latency probes.
Action
Get MCP server registry snapshotFetch a daily summary of the MCP server registry.
Action
Get model deprecation calendarFetch the AI model deprecation calendar.
Action
Get recent arXiv papersFetch the most recent AI/ML arXiv submissions.
Action
Get stack safety verdictFetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.
Action
Get trending AI GitHub reposFetch trending GitHub repositories in AI.
Action
Get trending AI papersFetch daily citation-ranked AI/ML papers from Semantic Scholar.
Action
Get trending Hugging Face modelsFetch top trending Hugging Face models, datasets, and Spaces.
Action
Get trending Reddit AI threadsFetch 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
Planfix and TensorFeed, answered
What can start an automation from Planfix?
Any of Planfix's 6 triggers in the catalog, including New Comment, New Contact, New project and New Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Planfix?
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 Planfix?
TensorFeed has no triggers in the catalog today, so automations start in Planfix. 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 Planfix 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 Planfix 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.