Integration
Connect Asana to TensorFeed
When something happens in Asana, 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 Asana 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 Asana can start in TensorFeed
When Completed task in project in Asana
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 Asana and TensorFeed
Triggers and actions 10 triggers · 51 actions
- Completed task in project
Triggered when any task is completed in the selected project.
- New comment on task
Triggered when any new comment is made to the selected task.
- New or updated task in project
Triggered when any task is added or updated in the specified project in the specified workspace.
- New project in workspace
Triggered when a new project is added to the selected workspace.
- New story on task
Triggered when any new story is made to the selected task.
- New tag in workspace
Triggered when a new tag is added to the selected workspace.
- New task assigned to you in workspace
Triggered when a task is assigned to you in the selected workspace.
- New team in workspace
Triggered when a new team is added to the selected workspace.
- New user
Triggered when a new user is created.
- New workspace
Triggered when a new workspace is created.
- Add attachment
Upload an attachment to a task.
- Add tag to task
Adds an existing tag to a task.
- Add task to section
Moves a task into a section of a project.
- Associate task to project
Associates a newly created task to a specified project in the specified workspace.
- Complete task
Marks a task as completed.
- Create new comment
Creates a new comment on the specified task.
- Create new project
Creates a new project in the specified workspace.
- Create new task
Creates a new task in a workspace or project.
- Create section in project
Creates a new section within a project.
- Create subtask
Creates a subtask under an existing parent task.
- Delete comment
Delete a comment (story) by gid.
- Delete project
Delete a project by gid.
- Delete task
Permanently deletes a task.
- Duplicate task
Creates a copy of an existing task.
- Find tasks in project
Returns the tasks belonging to a project.
- Get project
Fetch a single project by its gid.
- Get task by ID
Returns a single task's details by its ID.
- Get user
Fetch a single user by gid (or 'me').
- List attachments
List attachments on a task.
- List projects
List projects in a workspace, optionally filtered by team.
- List users
List users in a workspace.
- Remove tag from task
Removes a tag from a task.
- Update project
Update a project's fields (name, notes, due date, etc).
- Update task
Updates an existing task's fields.
- 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
Asana and TensorFeed, answered
What can start an automation from Asana?
Any of Asana's 10 triggers in the catalog, including Completed task in project, New comment on task, New or updated task in project and New project in workspace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TensorFeed when something happens in Asana?
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 Asana?
TensorFeed has no triggers in the catalog today, so automations start in Asana. 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 Asana 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.