Integration
Connect Anchor and TESS
When New Proposal Sent fires in Anchor, your agent runs Create Memory in TESS, or New Memory in TESS to Create Contact in Anchor. 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 Anchor and TESS 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 Anchor and TESS can do together
From Anchor to TESS
When New Proposal Sent in Anchor
then Create Memory in TESS
From TESS to Anchor
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 Anchor and TESS
Triggers and actions 5 triggers · 20 actions
- Agreement Amended
Triggers when an agreement is amended.
- New Proposal Sent
Triggers when a proposal is sent to a client.
- Proposal Approved
Triggers when a proposal is approved. The payload is the resulting agreement (a proposal becomes an agreement on approval).
- Proposal Published
Triggers when a proposal is published.
- Add Service to Agreement
Adds a service to a signed Anchor agreement as a new amendment.
- Create Contact
Creates a new client contact in Anchor.
- Find Contact by ID
Looks up a single contact by its Anchor ID.
- List Contacts
Returns a list of contacts (client businesses), optionally filtered by search text or status.
- Publish Proposal
Publishes a proposal draft as a proposal and, unless set to silent, emails the client.
- Submit Charges
Submits charges on an agreement to issue an invoice now or schedule one for a future billing date.
- New Memory
Triggers when a new memory is added in Tess, optionally only in one collection.
- Create Memory
Creates a Tess memory, optionally inside a memory collection.
- Create Memory Collection
Creates a Tess memory collection.
- Delete File
Deletes a file uploaded to Tess.
- Delete Memory
Deletes a Tess memory.
- Execute an Agent
Sends a message to a Tess agent, waits for it to finish, and returns the generated content.
- Execute Long Running Agent
Starts a Tess agent without waiting and returns the execution response ID to fetch the result later.
- Find Agent Details
Returns one Tess agent's details, including the input fields it asks for when executed.
- Find Agent Execution Response
Returns the status and generated content of one agent execution.
- Find Agents
Searches your Tess agents by text or type and returns their details.
- Get File
Returns one file uploaded to Tess.
- List Files
Lists files uploaded to Tess, newest first by default.
- List Memories
Lists Tess memories, optionally only those in one collection.
- List Memory Collections
Lists Tess memory collections, optionally filtered by name.
- Update Memory
Updates the text or collection of a Tess memory.
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
Anchor and TESS, answered
What can start an automation from Anchor?
Any of Anchor's 4 triggers in the catalog, including New Proposal Sent, Agreement Amended, Proposal Approved and Proposal Published. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TESS when something happens in Anchor?
Any of TESS's 14 actions, including Create Memory, Create Memory Collection, Update Memory and Execute an Agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TESS to Anchor?
Yes. When something happens in TESS, your agent can act in Anchor too. This page covers both directions: TESS's triggers and Anchor's actions are listed here as well.
Do I have to build a connector for Anchor or TESS?
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 Anchor and TESS 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.