Build solutions, not workarounds.
What do you want Anchor and Orq Ai 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 Anchor can start in Orq Ai
When New Proposal Sent in Anchor
then Add agent in Orq Ai
When Agreement Amended in Anchor
then Add datapoint in Orq Ai
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 Orq Ai
Triggers and actions 4 triggers · 27 actions
Trigger
Agreement AmendedTriggers when an agreement is amended.
Trigger
New Proposal SentTriggers when a proposal is sent to a client.
Trigger
Proposal ApprovedTriggers when a proposal is approved. The payload is the resulting agreement (a proposal becomes an agreement on approval).
Trigger
Proposal PublishedTriggers when a proposal is published.
Action
Add Service to AgreementAdds a service to a signed Anchor agreement as a new amendment.
Action
Create ContactCreates a new client contact in Anchor.
Action
Find Contact by IDLooks up a single contact by its Anchor ID.
Action
List ContactsReturns a list of contacts (client businesses), optionally filtered by search text or status.
Action
Publish ProposalPublishes a proposal draft as a proposal and, unless set to silent, emails the client.
Action
Submit ChargesSubmits charges on an agreement to issue an invoice now or schedule one for a future billing date.
Action
Add agentCreate a new managed agent.
Action
Add datapointAdds a datapoint (inputs, conversation messages and an expected output) to an Orq.ai dataset.
Action
Add datasetCreates a new dataset in the specified Orq.ai project.
Action
Add evaluatorCreate a new evaluator.
Action
Add promptCreates a new prompt in the Orq.ai workspace.
Action
Add toolCreates a new tool (function, JSON schema, HTTP or Python code tool) in the Orq.ai workspace.
Action
Delete datapointPermanently deletes a specific datapoint from a dataset.
Action
Delete datasetPermanently deletes a dataset and all its datapoints. This cannot be undone.
Action
Delete promptDelete a prompt and all its versions by ID.
Action
Get datasetRetrieves a specific dataset by its unique identifier.
Action
Get promptRetrieves a prompt by its id, including its model configuration, messages and metadata.
Action
Invoke deploymentRun a deployed prompt/model configuration and get the generation result.
Action
List agentsLists all agents in the Orq.ai workspace with their full configuration, newest first.
Action
List datapointsRetrieves a list of datapoints from a specific dataset.
Action
List datasetsLists datasets in the current Orq workspace, optionally filtered by display name or last updater.
Action
List deploymentsReturns the workspace's deployments, most recently created first.
Action
List evaluatorsLists evaluators in the Orq.ai workspace, optionally filtered by search text or project. Returns up to 200 evaluators.
Action
List promptsReturns the prompts in the workspace, most recently created first.
Action
List toolsLists every tool in the Orq.ai workspace (function, JSON schema, HTTP and code execution tools).
Action
Update datasetUpdate a dataset's name/config.
Action
Update promptUpdate an existing Orq.ai prompt's name, description, model configuration, metadata or storage path. Only the fields you fill in are changed.
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 Orq Ai, 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 Orq Ai when something happens in Anchor?
Any of Orq Ai's 21 actions, including Update dataset, Update prompt, Add agent and Add datapoint. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Orq Ai to Anchor?
Orq Ai has no triggers in the catalog today, so automations start in Anchor. If you need the other direction, ask: your agent reads Orq Ai's API documentation and adds it.
Do I have to build a connector for Anchor or Orq Ai?
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.