MCP & API access
Audity has an API and an MCP server
Your Audity seat plugs straight into Claude, Cursor, or any AI tool you already use. Paste one line to connect, then just ask, in plain English, and your agent runs the discovery for you: intakes, assessments, analysis, ROI, and deliverables. No code required. Prefer to build against it directly? It is a full REST API and MCP server under the hood.
Who this is for
This page is for you if: This is for consultants and firms who hold an Audity seat and want to drive their discovery from the AI tools they already use: connect once, then ask your agent to handle intake, kick off analyses, and pull deliverables for you. No developer required, though the full API is there if you want it.
Building a product instead? Building a product, app, or platform and want to embed Audity for your own users? That's an integration partnership, not a seat. See integration partnerships →
What you can do
What you can do over the API
Projects & intakes
List and manage projects, then create or prefill the business-context intake (business overview, strategic and operational context, pain points, engagement scope) so discovery starts from data you already hold.
Assessments & questionnaires
Build assessment templates, add custom questions, and generate per-stakeholder questionnaires. Read lead survey responses and AI readiness scores back as structured data.
Stakeholders & interviews
Add stakeholders, create interview sessions, and pull a unified interviewee view per project. Feed transcripts, voice notes, or emails in as captures and let Audity process them.
Analysis & opportunities
Kick off document, interview, and audit analysis jobs. Read the resulting opportunity matrix, add or edit opportunities, and select which ones flow through to ROI and deliverables.
ROI & deliverables
Create and update ROI calculations with computed scenarios, compile the final report, and generate the branded PDF: the same outputs the app produces, available to your stack.
Leads, ReadyLinks & CRM
List and update leads, convert a lead into a project, manage ReadyLinks discovery surveys, and keep your lightweight contact CRM in sync: no dashboard required.
Model Context ProtocolIncluded with every seat
How the MCP server works
The Model Context Protocol (MCP) server exposes Audity's actions as tools an AI agent can call directly, no glue code. Connect Claude, Cursor, or your own agent and it can run the discovery workflow the same way you would.
Start a new audit for Acme Corp, mid-market, healthcare.
Run the audit analysis and summarize the top three opportunities.
1. Establish a data-ownership model (highest impact)
2. Stand up ML-ops capability in-house
3. Formalize model-risk governance
Run the audit analysis for the Initech project and email me the top three opportunities
Plain English in, audit-grade results out
The same projects, analyses, and deliverables your team manages in the Audity app, driven in the words you already use. Nothing to script unless you want to.
Also available in
Connect once.
Drive everything.
One linePaste one line to connect, and everything the platform does becomes something you can ask for in plain English. Part of your subscription, not an add-on.
How to get started
Get started in three steps
01
Have a seat
Programmatic access comes with your Audity seat, no add-on or separate contract. If you have a plan, you already have it.
02
Create a token
Generate a personal access token in your Audity settings. Use it as a bearer token to connect your MCP client or point your scripts at the API.
03
Run your discovery
Wire Audity into your tools or hand it to an agent. Run intakes, analyses, and deliverables on your own terms.
Programmatic access comes with your seat
No add-on, no separate contract. The fastest way to see what is possible is the developer docs: full endpoint reference, MCP setup, and quickstart.