# BARMAN by CeoAgentAI (remote · barman-ai-agent.onrender.com)

AI product-copy samples and EUR 9 packs; free integration diagnosis and EUR 5 evidence reports.

- Trust score: 71/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `barman-ai-agent.onrender.com`: 71/100 (this document), [markdown](https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent.md), [page](https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent)

## Channel facts

- Endpoint: `https://barman-ai-agent.onrender.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.4.0`

## 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 2026-11-05.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - 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**: 53/100
  - AI-judged instruction clarity (fair).
  - Context-footprint check failed: tool/resource definitions use about 1453 tokens (~161/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 43/100
  - Stability observed for 13 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 10 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 BARMAN by CeoAgentAI MCP server?

BARMAN by CeoAgentAI is a hosted endpoint at https://barman-ai-agent.onrender.com/mcp, 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 nikelef-barman-ai-agent 'https://barman-ai-agent.onrender.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "nikelef-barman-ai-agent": {
      "url": "https://barman-ai-agent.onrender.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "nikelef-barman-ai-agent": {
      "type": "http",
      "url": "https://barman-ai-agent.onrender.com/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.nikelef-barman-ai-agent]
url = "https://barman-ai-agent.onrender.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nikelef-barman-ai-agent": {
      "type": "remote",
      "url": "https://barman-ai-agent.onrender.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add nikelef-barman-ai-agent --url 'https://barman-ai-agent.onrender.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  nikelef-barman-ai-agent:
    url: "https://barman-ai-agent.onrender.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "nikelef-barman-ai-agent": {
      "Transport": "http",
      "Url": "https://barman-ai-agent.onrender.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add nikelef-barman-ai-agent -t streamable-http -u 'https://barman-ai-agent.onrender.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "nikelef-barman-ai-agent": {
      "type": "http",
      "url": "https://barman-ai-agent.onrender.com/mcp"
    }
  }
}
```

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.

### 2026-11-05 (score 71, +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.

### 2026-11-03 (score 70, +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.

### 2026-10-31 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-29 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-27 (score 67, 0)

- [security] The server rewrote its instructions, which are the text every model session reads
- [functional regression] Schema quality: 1047 → 1453
- [functional] New tool “confirm_microtask”
- [functional] New tool “prepare_microtask”

### 2026-10-26 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 66, 0)

- [security] Tool “place_order” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: 838 → 1047
- [functional improvement] Stability: unverified → 0.03
- [functional] New tool “prepare_listing_copy”
- [cosmetic] “place_order” added an optional parameter “work_id”
- [cosmetic] “place_order” added an optional parameter “work_token”

### 2026-10-23 (score 66)

First indexed and scored.

## MCP tools (9)

### `get_catalog` (~22 tokens)

Read current prices, availability, live/sandbox mode and purchase instructions.

### `ask_barman` (~126 tokens)

Free AI help for a task or blocker. No order, charge, consent or network probe.

        Use a random request_id and retry identical requests with that same ID.
        Keep returned conversation_token private for up to 10 minutes of brief
        context. Memory and retry protection expire on restart. Messages are
        redacted and sent to OpenRouter conversational free models; omit private data.
        Quota/timeouts return ai_used:false with basic catalog guidance.

Input parameters:

- `conversation_token` (string)
- `message` (string, required)
- `request_id` (string, required)

### `diagnose_integration` (~190 tokens)

Free public integration preview; save its private receipt token.

        Provide a real blocked task and confirm permission to probe the public
        target. Anonymous GET or MCP initialize/initialized/tools-list only.
        No credentials, query parameters, private targets or application tool
        execution. A declared budget is research input, never permission to
        charge. A healthy/inconclusive probe offers no paid report. Buy a ready
        EUR 5 report only through place_order with diagnostic_id and its token.

Input parameters:

- `agent_name` (string, required)
- `agent_reference` (string, required)
- `allow_probe` (boolean, required)
- `blocker` (string, required)
- `budget_cents` (integer)
- `idempotency_key` (string, required)
- `needed_result` (string, required)
- `protocol` (string, required)
- `target_url` (string, required)
- `task` (string, required)

### `report_diagnosis_feedback` (~56 tokens)

Privately say whether the check helped. This records self-reported feedback, not a verified repair or payment.

Input parameters:

- `diagnostic_id` (string, required)
- `outcome` (string, required)
- `receipt_token` (string, required)

### `place_order` (~265 tokens)

Order one item: beer 0, sponsor 300, report 500, listing copy 900 EUR cents.

        Paid orders return a Stripe-hosted checkout URL for the payer to approve;
        this tool cannot itself charge a card. Use public_credit only for explicit
        opt-in sponsor display. A prepared diagnosis requires its private
        diagnostic_id/token and the same buyer reference. The legacy report
        without a diagnosis accepts only a public HTTPS Agent Card URL.
        Listing copy requires a saved free preview's work_id/work_token and the
        same buyer reference. It purchases the prepared AI draft, not future work.
        Public buyer identity is self-declared. Never provide card details, secret
        keys, or private endpoint URLs. Save the private receipt token.

Input parameters:

- `accept` (boolean, required)
- `agent_name` (string, required)
- `agent_reference` (string, required)
- `diagnostic_id` (string)
- `diagnostic_token` (string)
- `expected_total_cents` (integer, required)
- `idempotency_key` (string, required)
- `product_id` (string, required)
- `public_credit` (boolean)
- `target_url` (string)
- `work_id` (string)
- `work_token` (string)

### `get_receipt` (~86 tokens)

Privately refresh an order against Stripe and retrieve its receipt/digital fulfillment.

        A diag_ identifier returns its free preview, not the paid evidence report.
        A successful refresh may complete delivery of an already-paid toast or
        integration report. No new order, charge or future permission is created.

Input parameters:

- `order_id` (string, required)
- `receipt_token` (string, required)

### `prepare_listing_copy` (~162 tokens)

Free sample of an AI product-listing draft from supplied facts.

            No browsing or publishing. Omit private data; explicit consent sends
            the brief to OpenRouter free model providers. Full prepared pack is
            optional EUR 9, one-time, including applicable tax, through place_order
            with work_id/work_token and the same buyer reference. No charge occurs
            until the payer approves Stripe Checkout. Review copy before use.

Input parameters:

- `agent_name` (string, required)
- `agent_reference` (string, required)
- `allow_ai` (boolean, required)
- `audience` (string, required)
- `facts` (string, required)
- `idempotency_key` (string, required)
- `product_name` (string, required)
- `tone` (string)

### `prepare_microtask` (~198 tokens)

Prepare one tiny service; no payment is initiated.

            JSON/schema check: 0.01 USDC. Public HTTPS evidence for 1-5 URLs:
            0.05 USDC, anonymous GET only, explicit probe permission. Optional
            support: 0.01 USDC. Use native USDC on Base mainnet only; read the
            catalog for availability and the supported bounded schema subset.
            Omit secrets. Keep the quote and receipt token private. A prepared
            quote is not a payment or permission for this agent to spend.

Input parameters:

- `accept_price` (boolean, required)
- `allow_public_probe` (boolean)
- `expected_total_usdc` (string, required)
- `idempotency_key` (string, required)
- `json_schema`
- `json_text` (string)
- `payer_address` (string, required)
- `product_id` (string, required)
- `urls` (array)

### `confirm_microtask` (~150 tokens)

Verify an already-made, buyer-authorized USDC payment and release its saved result.

            No transfer, approval or settlement is submitted by this tool. Use
            the exact quote claim message with the lower-case transaction hash
            and personal_sign by its payer wallet. Two RPC sources must agree
            on the native USDC event in a Base safe block. This can take minutes;
            retry the SAME quote/transaction, never send a second payment. One
            transaction pays one quote. QA is excluded and cannot accept money.

Input parameters:

- `payer_signature` (string, required)
- `quote_id` (string, required)
- `receipt_token` (string, required)
- `transaction_hash` (string, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent#diagnostics

## Score history

- 2026-11-05: 71
- 2026-11-04: 70
- 2026-11-03: 70
- 2026-11-02: 69
- 2026-11-01: 69
- 2026-10-31: 69
- 2026-10-30: 68
- 2026-10-29: 68
- 2026-10-28: 67
- 2026-10-27: 67
- 2026-10-26: 67
- 2026-10-25: 66
- 2026-10-24: 66
- 2026-10-23: 66

## Common questions

### What is the BARMAN by CeoAgentAI MCP server?

BARMAN by CeoAgentAI is an MCP server listed in the public MCP registry as io.github.nikelef/barman-ai-agent. AI product-copy samples and EUR 9 packs; free integration diagnosis and EUR 5 evidence reports. This page covers its hosted endpoint (https://barman-ai-agent.onrender.com/mcp).

### Is the BARMAN by CeoAgentAI MCP server safe to use?

BARMAN by CeoAgentAI scores 71 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 BARMAN by CeoAgentAI MCP server expose?

BARMAN by CeoAgentAI exposes 9 tools: get_catalog, ask_barman, diagnose_integration, report_diagnosis_feedback, place_order, and 4 more. Their descriptions and schemas cost roughly 1,255 tokens of context every time the server is loaded.

### Does the BARMAN by CeoAgentAI MCP server require authentication?

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

### Is the BARMAN by CeoAgentAI MCP server still maintained?

BARMAN by CeoAgentAI is still listed as active in the MCP registry. We last reached this channel on 5 November 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://barman-ai-agent.onrender.com/mcp
- Website: https://barman-ai-agent.onrender.com/quickstart
- Changelog RSS feed: https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent.xml
- Changelog JSON feed: https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent.json
- HTML version of this page: https://verifymcp.io/servers/nikelef-barman-ai-agent/barman-ai-agent