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Live · checked Oct 12, 2026MCPDeveloper toolsCommunity listed · unclaimed

DeployIt Product Expert

AI product expert answering from live source code, with sources and a verification status.

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http deployit-product-expert https://mcp.deployit.ai/demo

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "deployit-product-expert": {
      "url": "https://mcp.deployit.ai/demo"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call DeployIt Product Expert from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://mcp.deployit.ai/demo") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://mcp.deployit.ai/demo")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "deployit-product-expert" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="deployit-product-expert")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Tools (3)

  • Server info 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 th…
  • Recent product changes 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…
  • Ask the product expert 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 I…

Automated check: 80/100

Last run 2026-10-13 21:55 UTC. What we measured, not a guarantee.

  • 10/10Every URL is https.
  • 40/40MCP initialize answered (deployit-demo 1.0.0).
  • 15/153 tools listed by tools/list.
  • 0/10No MCP server card at /.well-known/mcp/server-card.json.
  • 10/10Has a homepage or documentation link.
  • 5/5Answered in 441 ms.
  • 0/10Not claimed with a domain proof yet.