Integration
Connect Targetprocess to svg.new
When New Bug fires in Targetprocess, your agent runs Batch vectorize images in svg.new. 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 Targetprocess and svg.new 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 Targetprocess can start in svg.new
When New Bug in Targetprocess
then Batch vectorize images in svg.new
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 Targetprocess and svg.new
Triggers and actions 11 triggers · 14 actions
- New Bug
Triggers when a new Bug is added in Targetprocess.
- New Build
Triggers when a new Build is added in Targetprocess.
- New Comment
Triggers when a new Comment is added in Targetprocess.
- New Feature
Triggers when a new Feature is added in Targetprocess.
- New Iteration
Triggers when a new Iteration is added in Targetprocess.
- New Release
Triggers when a new Release is added in Targetprocess.
- New Request
Triggers when a new Request is added in Targetprocess.
- New Task
Triggers when a new Task is added in Targetprocess.
- New Team Iteration
Triggers when a new Team Iteration is added in Targetprocess.
- New Time
Triggers when a new Time record is added in Targetprocess.
- New User Story
Triggers when a new User Story is added in Targetprocess.
- Add Requester to Request
Creates a Requester and attaches them to an existing Request.
- Change State
Changes the workflow state of an existing entity.
- Create Bug
Creates a new Bug in a Targetprocess project.
- Create Build
Creates a Build in a Targetprocess project.
- Create Feature
Creates a Feature, a high-level requirement that groups User Stories.
- Create Request
Creates a Request (an idea, issue or question from users).
- Create Task
Creates a Task under an existing User Story.
- Create User Story
Creates a User Story in a project.
- Batch vectorize images
Submits up to 50 raster images (PNG, JPG or WebP) for vectorization to SVG in the background and returns a batch ID you can check with Get batch job. Costs 1 credit per image.
- Get batch job
Returns the status of a batch image vectorization job, including per-image status and links to the finished SVG files once complete.
- Recolor SVG
Replaces colors in an SVG image using a map of old colors to new colors, and returns the recolored SVG.
- Remove SVG background
Removes the background from an SVG using AI on the original raster image it was made from. Returns the cleaned SVG and a transparent version of the image. Costs 1 svg.new credit.
- Simplify SVG
Reduces the number of colors in an SVG to a maximum you choose, returning the simplified SVG and the color counts before and after.
- Vectorize image
Converts a PNG, JPG or WebP image into a clean SVG vector graphic. Uses one svg.new credit per image.
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
Targetprocess and svg.new, answered
What can start an automation from Targetprocess?
Any of Targetprocess's 11 triggers in the catalog, including New Bug, New Build, New Comment and New Feature. Describe the moment in plain language and your agent picks the right one.
What can your agent do in svg.new when something happens in Targetprocess?
Any of svg.new's 6 actions, including Batch vectorize images, Get batch job, Recolor SVG and Simplify SVG. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from svg.new to Targetprocess?
svg.new has no triggers in the catalog today, so automations start in Targetprocess. If you need the other direction, ask: your agent reads svg.new's API documentation and adds it.
Do I have to build a connector for Targetprocess or svg.new?
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 Targetprocess and svg.new 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.