Integration
Connect Everhour to TensorFeed
When New Client fires in Everhour, 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 Everhour 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 Everhour can start in TensorFeed
When New Client in Everhour
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 Everhour and TensorFeed
Triggers and actions 5 triggers · 49 actions
- New Client
Triggers when a new client is created.
- New Task
Triggers when a new task created.
- Project updated
Webhook event api:project:updated.
- Task updated
Webhook event api:task:updated.
- Timer Stopped
Triggers when a running timer is stopped. Timer should be with a task.
- Add assignment
/resource-planner/assignments. Schedule a user on a project/task.
- Add expense
/expenses. Create an expense.
- Add invoice
/invoices. Create an invoice for a project/client.
- Add Time
Adds your time to a task.
- Create Client
Creates a new client.
- Create Project
Creates a new project.
- Delete project
/projects/{id}.
- Delete time record
/tasks/{id}/time. Delete time record for a date/user.
- Find Internal Project
Finds a project for creating task/section by name
- Find Member
Finds a member by name.
- Find Project
Finds a project by name
- Find Section
Finds a section by name.
- Find Task
Finds a task by name.
- Get running timer
Returns the currently running timer for the connected user.
- List Assignments
Lists resource-planner assignments, optionally filtered by project, user and date range.
- List clients
/clients. Returns all clients.
- List Expenses
Lists the team's expenses, each with id, date, amount, category, project, billable and details.
- List invoices
/invoices. Returns all invoices.
- Update client
/clients/{id}. Update a client's name, business details, etc.
- Update project
/projects/{id}. Update project name, users, billing etc.
- Update task estimate
/tasks/{id}/estimate. Set a task's time estimate.
- Update time record
/tasks/{id}/time. Update time on a task for a date/user.
- 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
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Questions
Everhour and TensorFeed, answered
What can start an automation from Everhour?
Any of Everhour's 5 triggers in the catalog, including New Client, New Task, Project updated and Task updated. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Everhour?
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 Everhour?
TensorFeed has no triggers in the catalog today, so automations start in Everhour. 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 Everhour 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 Everhour 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.