--- title: "Connect Timely Time Tracking to TensorFeed - APIANT.ai" description: "When \"New Client\" fires in Timely Time Tracking, your agent runs \"Buy credits\" in TensorFeed." canonical: "https://apiant.ai/connect/timely-time-tracking-to-tensorfeed" --- # Connect Timely Time Tracking to TensorFeed When **New Client** fires in [Timely Time Tracking](https://apiant.ai/connections/timely-time-tracking), your agent runs **Buy credits** in [TensorFeed](https://apiant.ai/connections/tensorfeed). Describe the whole flow and it is built, tested on every scenario and kept running. Timely Time Tracking **8** triggers Timely Time Tracking **19** actions TensorFeed **27** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Timely Time Tracking and TensorFeed to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Timely Time Tracking can start in TensorFeed - When **New Client** in Timely Time Tracking then **Buy credits** in TensorFeed - When **New or Updated Person** in Timely Time Tracking 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 Timely Time Tracking and TensorFeed ## Triggers and actions 8 triggers · 46 actions - Trigger **New Client** Triggered when a new client is created - Trigger **New or Updated Person** Triggered when a person is created or updated in Timely - Trigger **New or Updated Project** Triggers when a project is created or updated. - Trigger **New or Updated Time Entry** Triggers when time entries are created or updated. - Trigger **New Project** Triggered when a new project is created - Trigger **New Time Entry** Triggered when a new time entry is created - Trigger **New Workspace** Triggers when a workspace is created. - Trigger **Project Updated (Only Admin Users)** Triggers when any project is updated in Timely. Fires for ALL project changes (name, budget, rate, archive, labels, users, etc. Can only be used by Timely Admin users. WARNING: avoid chaining this trigger to actions that write back to the same project (e. g. via "Update Project Name") in the source system without a guard — that can create an infinite update loop. - Action **Add tag** Create a tag. - Action **Create Client** Creates a Client - Action **Create Person** Creates a new person in the workspace. - Action **Create Project** Creates a project. - Action **Create Task** Creates a task. - Action **Delete project** Delete a project. - Action **Delete time entry** Delete a time entry. - Action **Find Client** Returns the clients in a Timely workspace whose name matches the given text. - Action **Find Project** Returns the projects whose name contains the specified text. - Action **Find Tag List and Tag** Finds a tag list and a specific tag if specified. - Action **Find time entries by criteria** Search time entries by date range, user, project. - Action **Find User** Finds a User - Action **Get Task** Retrieves a single task (forecast) by its id. - Action **Log Time Entry** Logs a new time entry against a project. - Action **Start timer** Start the timer on a time entry. - Action **Stop timer** Stop the running timer on a time entry. - Action **Update client** Update a client. - Action **Update Project Name** Updates only the name of an existing project. Look up the project by Timely Project ID or by External ID (recommended when the source-of-truth system stores the Timely external_id, e.g. NetSuite). - Action **Update time entry** Update a logged time entry. - Action **Buy credits** Initiate a credit purchase against a sender wallet. - Action **Find AI news** Full-text search across the AI news archive. - Action **Get AFTA adopter directory** Fetch the machine-readable AFTA adopter directory. - Action **Get AI agent directory** Fetch a curated directory of AI agents and frameworks. - Action **Get AI benchmark scores** Fetch public benchmark scores for major AI models. - Action **Get AI ecosystem daily brief** Fetch a composite daily brief covering the AI ecosystem. - Action **Get AI model pricing and specs** Fetch pricing and specs for AI models. - Action **Get AI news** Fetch aggregated AI news articles. - Action **Get AI podcast episodes** Fetch recent AI podcast episodes. - Action **Get AI service status** Fetch operational status for major AI services. - Action **Get benchmark trust verdict** Fetch a trust band and score for an AI benchmark. - Action **Get cheapest GPU offer** Fetch the cheapest current offer for a canonical GPU. - Action **Get cross-provider model catalog** Fetch a cross-provider AI model catalog snapshot from OpenRouter. - Action **Get failover verdict** Fetch the best operational failover target when a provider degrades. - Action **Get GPU rental pricing** Fetch current GPU rental pricing snapshot. - Action **Get HF daily papers** Fetch Hugging Face Daily Papers with community signal. - Action **Get historical snapshot** Fetch one historical daily snapshot by date and type. - Action **Get hot AI GitHub issues** Fetch currently-hot GitHub issues across AI repos. - Action **Get LLM endpoint latency probes** Fetch the last 24 hours of LLM endpoint latency probes. - Action **Get MCP server registry snapshot** Fetch a daily summary of the MCP server registry. - Action **Get model deprecation calendar** Fetch the AI model deprecation calendar. - Action **Get recent arXiv papers** Fetch the most recent AI/ML arXiv submissions. - Action **Get stack safety verdict** Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package. - Action **Get trending AI GitHub repos** Fetch trending GitHub repositories in AI. - Action **Get trending AI papers** Fetch daily citation-ranked AI/ML papers from Semantic Scholar. - Action **Get trending Hugging Face models** Fetch top trending Hugging Face models, datasets, and Spaces. - Action **Get trending Reddit AI threads** Fetch currently-hot AI discussion threads on Reddit. ## Each app on its own - [ **Timely Time Tracking** Timely Time Tracking automates company time tracking, so everyone can focus on the work that matters.](https://apiant.ai/connections/timely-time-tracking) - [ **TensorFeed** TensorFeed aggregates real-time information about the AI industry.](https://apiant.ai/connections/tensorfeed) Reviews ## What our customers say ## More from Timely Time Tracking - [ **Timely Time Tracking to Zelothorn** Zelothorn publishes plain-English explanations of US public companies built from SEC filings and earnings...](https://apiant.ai/connect/timely-time-tracking-to-zelothorn) - [ **Timely Time Tracking to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/timely-time-tracking-to-trello) - [ **Timely Time Tracking to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/timely-time-tracking-to-zoom) - [ **Timely Time Tracking to Twilio** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/timely-time-tracking-to-twilio) - [ **Timely Time Tracking to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/timely-time-tracking-to-typeform) - [ **Timely Time Tracking to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/timely-time-tracking-to-webflow) ## More into TensorFeed - [ **HubSpot to TensorFeed** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-tensorfeed) - [ **Salesforce to TensorFeed** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-tensorfeed) - [ **Slack to TensorFeed** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-tensorfeed) - [ **Google Sheets to TensorFeed** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-tensorfeed) - [ **Gmail to TensorFeed** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-tensorfeed) - [ **Google Calendar to TensorFeed** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-tensorfeed) Questions ## Timely Time Tracking and TensorFeed, answered ### ### What can start an automation from Timely Time Tracking? Any of Timely Time Tracking's 8 triggers in the catalog, including New Client, New or Updated Person, New or Updated Project and New or Updated Time Entry. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in TensorFeed when something happens in Timely Time Tracking? 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 Timely Time Tracking? TensorFeed has no triggers in the catalog today, so automations start in Timely Time Tracking. 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 Timely Time Tracking 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 Timely Time Tracking 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.