DeployIt Product Expert is a remote MCP server that gives an AI agent 3 tools, among them ask_product_expert, get_recent_changes, server_info. It answers at https://mcp.deployit.ai/demo over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
AI product expert answering from live source code, with sources and a verification status.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
ask_product_expert | Ask a question about "deployit" and get an answer verified against its live source code and git history. Use it for anything about product behavior, features, settings, limits, error messages, or recent changes. HOW IT WORKS AND HOW LONG IT Inputs: question, context, depth |
get_recent_changes | Instant list of recent changes to "deployit" — the semantic changelog derived from its commits. No AI processing: responds in under a second, costs nothing, and never counts against any quota. Use this FIRST for "what changed", "what's new" Inputs: days |
server_info | Describe this MCP server: which product it answers for, which repositories back it, and how fresh the underlying code index is. Instant (no AI). Call it once at the start of a session to confirm you are talking to the right product — if the |
Every block below points at https://mcp.deployit.ai/demo. Pick your client and copy.
claude mcp add --transport http deployit-product-expert https://mcp.deployit.ai/demo
{
"mcpServers": {
"deployit-product-expert": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.deployit.ai/demo"]
}
}
}{
"mcpServers": {
"deployit-product-expert": {
"url": "https://mcp.deployit.ai/demo"
}
}
}{
"servers": {
"deployit-product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
}
}{
"context_servers": {
"deployit-product-expert": {
"url": "https://mcp.deployit.ai/demo"
}
}
}{
"mcpServers": {
"deployit-product-expert": {
"serverUrl": "https://mcp.deployit.ai/demo"
}
}
}{
"mcpServers": {
"deployit-product-expert": {
"url": "https://mcp.deployit.ai/demo"
}
}
}name: DeployIt Product Expert
version: 0.0.1
schema: v1
mcpServers:
- name: DeployIt Product Expert
type: streamable-http
url: https://mcp.deployit.ai/demo{
"mcpServers": {
"deployit-product-expert": {
"httpUrl": "https://mcp.deployit.ai/demo"
}
}
}{
"mcpServers": {
"deployit-product-expert": {
"type": "http",
"url": "https://mcp.deployit.ai/demo"
}
}
}{
"mcpServers": {
"deployit-product-expert": {
"url": "https://mcp.deployit.ai/demo"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.deployit.ai%2Fdemo&type=streamable_http&id=deployit-product-expert&name=DeployIt%20Product%20Expert
It answered our last check on 17 October 2026 in 298 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by deployit.ai and served from mcp.deployit.ai, the vendor's own domain: https://mcp.deployit.ai/demo.
3, as returned by the server's own tools/list on 7 September 2026: ask_product_expert, get_recent_changes, server_info.
It answered our last check on 17 October 2026 in 298 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.deployit.ai/demo. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.deployit. Endpoint host: mcp.deployit.ai. ARD identifier: urn:air:ai.deployit:mcp:product-expert.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.