# DeployIt Product Expert (remote · mcp.deployit.ai)

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

- Trust score: 75/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-25

## Components

- remote · `mcp.deployit.ai`: 75/100 (this document), [markdown](https://verifymcp.io/servers/ai-deployit-product-expert/demo.md), [page](https://verifymcp.io/servers/ai-deployit-product-expert/demo)

## Channel facts

- Endpoint: `https://mcp.deployit.ai/demo`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-25.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 3 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 678 tokens (~226/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 83/100
  - Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the DeployIt Product Expert MCP server?

DeployIt Product Expert is a hosted endpoint at https://mcp.deployit.ai/demo, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

```json
{
  "servers": {
    "ai-deployit-product-expert": {
      "type": "http",
      "url": "https://mcp.deployit.ai/demo"
    }
  }
}
```

### Codex

```toml
[mcp_servers.ai-deployit-product-expert]
url = "https://mcp.deployit.ai/demo"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-deployit-product-expert": {
      "type": "remote",
      "url": "https://mcp.deployit.ai/demo",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-deployit-product-expert --url 'https://mcp.deployit.ai/demo' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-deployit-product-expert:
    url: "https://mcp.deployit.ai/demo"
```

### Netclaw

```json
{
  "McpServers": {
    "ai-deployit-product-expert": {
      "Transport": "http",
      "Url": "https://mcp.deployit.ai/demo"
    }
  }
}
```

### Vellum

```bash
assistant mcp add ai-deployit-product-expert -t streamable-http -u 'https://mcp.deployit.ai/demo'
```

### Other

```json
{
  "mcpServers": {
    "ai-deployit-product-expert": {
      "type": "http",
      "url": "https://mcp.deployit.ai/demo"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-25 (score 75, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-24 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-22 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-20 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-17 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-15 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-13 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-11 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (3)

### `server_info` (~74 tokens)

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 index is stale or still building, say so instead of trusting deep answers.

### `get_recent_changes` (~101 tokens)

Recent product 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", "since when" questions; escalate to ask_product_expert only when you need an investigated answer.

Input parameters:

- `days` (number): How many days back (default 14, max 90).

### `ask_product_expert` (~503 tokens)

Ask the 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 TAKES: the expert genuinely investigates — it searches and reads the product's real source code before answering. A fresh investigation takes 20-60 SECONDS. Do not give up early, and if a human is waiting, tell them the verified answer may take up to a minute. Repeated questions asked without `context` are served from cache in under a second; the cache resets whenever the product's code changes.

IF IT TIMES OUT: you get an error saying the expert could not finish in time. The investigation KEEPS RUNNING in the background — re-ask the IDENTICAL question (same wording, no `context`) about a minute later and the finished answer is served instantly from cache. Retry with the same words; rephrasing restarts the investigation.

READING THE ANSWER: it ends with a Sources block (the files and commits actually consulted) and a Verification status carrying both confidence and polarity:
\- verified: confirmed in the code — safe to relay.
\- backend_only: the capability exists server-side but has no visible UI path.
\- not_found: searched, and it does NOT exist — a factual "no", relayable as such.
\- unknown: the expert could not conclude — do NOT relay as fact; consider retrying with depth "thorough".

LIMITS: strictly read-only — it can never change anything. Some topics may be refused by the project's policy. A monthly question quota may apply (the error message says so when reached; cached answers never count). At most 60 requests per minute per access key.

Input parameters:

- `context` (string): Optional context from your own conversation with the end user (symptoms, plan, what they tried…). Makes the answer more targeted, but context-carrying questions are never cached — omit it for generic…
- `depth` (string): quick (default): up to ~1 minute of investigation, right for support questions. thorough: digs much deeper for hard questions — expect the timeout-then-retry-from-cache flow.
- `question` (string, required): The question about the product, as specific as possible. Identical wording hits the cache — when retrying after a timeout, repeat the question verbatim.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-deployit-product-expert/demo#diagnostics

## Score history

- 2026-09-25: 75
- 2026-09-24: 75
- 2026-09-23: 74
- 2026-09-22: 74
- 2026-09-21: 73
- 2026-09-20: 73
- 2026-09-19: 72
- 2026-09-18: 72
- 2026-09-17: 72
- 2026-09-16: 71
- 2026-09-15: 71
- 2026-09-14: 70
- 2026-09-13: 70
- 2026-09-12: 69
- 2026-09-11: 69
- 2026-09-10: 68
- 2026-09-09: 68
- 2026-09-08: 67
- 2026-09-07: 67
- 2026-09-06: 66
- 2026-09-05: 66
- 2026-09-04: 65
- 2026-09-03: 65
- 2026-09-02: 65
- 2026-09-01: 64
- 2026-08-31: 64

## Common questions

### What is the DeployIt Product Expert MCP server?

DeployIt Product Expert is an MCP server listed in the public MCP registry as ai.deployit/product-expert. AI product expert answering from live source code, with sources and a verification status. This page covers its hosted endpoint (https://mcp.deployit.ai/demo).

### Is the DeployIt Product Expert MCP server safe to use?

DeployIt Product Expert scores 75 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the DeployIt Product Expert MCP server expose?

DeployIt Product Expert exposes 3 tools: server_info, get_recent_changes, ask_product_expert. Their descriptions and schemas cost roughly 678 tokens of context every time the server is loaded.

### Does the DeployIt Product Expert MCP server require authentication?

No. We connected to DeployIt Product Expert without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the DeployIt Product Expert MCP server still maintained?

DeployIt Product Expert is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://mcp.deployit.ai/demo
- Website: https://deployit.ai/product/mcp
- Changelog RSS feed: https://verifymcp.io/servers/ai-deployit-product-expert/demo.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-deployit-product-expert/demo.json
- HTML version of this page: https://verifymcp.io/servers/ai-deployit-product-expert/demo