Your AI agents don't know your product. Plug them into your code.
DeployIt runs an MCP server per project: a product expert derived from your private codebase, that agents like Intercom Fin, HubSpot Breeze, Claude or Cursor can query — and that is up to date at every deploy.
How it works
One question in, one sourced answer out — with a live exploration of your code in between.
Your agent asks a question
A customer asks your support agent something specific — or your team asks Claude. The agent forwards the question to your project's DeployIt MCP server, like it would call any other tool.
DeployIt explores the live code
The product expert doesn't guess from a stale index: it reads the actual implementation — code, configuration, git history — resynchronized at every push, and checks in the code before asserting anything.
A sourced answer comes back
The agent receives an answer grounded in the files and commits that were actually read, with its sources — ready to use in a support conversation, a doc, or a code review.
Looking for answers for your team, not your agents? The same product expert powers the AI Help Center & Messenger.
Discover the Help CenterWorks with the agents you already run
Any MCP-capable agent can query your product expert. The four integrations we document first:
Intercom Fin
Add your DeployIt project as a custom MCP connector so Fin can check the real behavior of your product mid-conversation instead of answering from outdated macros.
Fin → Settings → Custom MCP connector → paste your project's DeployIt MCP endpoint and credentials.
HubSpot Breeze
Expose your product expert to Breeze through a Breeze Studio custom connector, so support and success agents stop escalating questions the code can answer.
Breeze Studio → Connectors → Custom MCP connector → your DeployIt MCP endpoint.
Claude
Give Claude direct access to your product expert: product, sales and support teammates ask questions in natural language and get answers grounded in the code.
{
"mcpServers": {
"my-product-expert": {
"url": "<your DeployIt project MCP endpoint>"
}
}
}Cursor
Coding agents get product-level context: what a feature does, where it lives, what changed recently — without crawling the whole repo themselves.
{
"mcpServers": {
"deployit-product": {
"url": "<your DeployIt project MCP endpoint>"
}
}
}Snippets are schematic: your project's MCP endpoint is provided during early access onboarding.
Up to date at every deploy
The expert's knowledge is derived from the code itself — not from a wiki someone has to remember to edit. When you push, DeployIt resynchronizes: the next question is answered against the current state of the product.
- Resynchronized at every push — no reindexing task to schedule
- Git history included: the expert knows what changed, and when
- Read-only GitHub connection — DeployIt never writes to your repository
An honest comparison
Different tools solve different problems. Here is where each one fits:
Context7
Up-to-date documentation for public libraries and frameworks, built for coding assistants.
Not built to answer questions about your private product.
DeepWiki
Readable wikis and Q&A over GitHub repositories.
Centered on repo exploration — not a product expert wired into your support and product agents.
Mintlify MCP
Exposes your written documentation to agents via MCP.
Answers are only as current and as complete as the docs a human wrote.
DeployIt
A product expert for YOUR private codebase, derived from the code itself, fresh at every deploy, queryable by any MCP-capable agent.
In early access — we onboard design partners project by project.
Frequently asked questions
What is an MCP server?
MCP (Model Context Protocol) is an open standard that lets AI agents call external tools and data sources. An MCP server exposes capabilities — here, a product expert wired to your codebase — that any compatible agent (Claude, Cursor, Intercom Fin, HubSpot Breeze…) can query.
How is this different from RAG over our docs?
RAG retrieves passages from documents that were written and indexed at some point in the past. DeployIt's expert explores the live code at question time: it reads the current implementation and the git history, and verifies in the code before asserting. Nothing depends on someone keeping the docs up to date.
Is it safe to expose our code to agents?
The GitHub connection is read-only, and you control what is exposed: one MCP server per project, nothing more.
Which agents can connect?
Any MCP-capable agent. We document Intercom Fin (custom MCP connector), HubSpot Breeze (Breeze Studio), Claude and Cursor — and the endpoint is standard MCP, so other clients work too.
How fresh are the answers?
The expert is resynchronized at every push. An answer given after your Tuesday deploy reflects your Tuesday deploy.
What does it cost?
The MCP server is in early access, through our design partner program. DeployIt is free during early access; paid plans arrive in January 2027.
Join the design partner program
We onboard design partners project by project: the MCP server gets wired into your agents with us, and your feedback shapes the product. Free during early access.
Give your agents a product expert
Connect your GitHub in read-only mode, or join the design partner program to wire DeployIt into your support agents with us.