# Caelario (npm · caelario-mcp)

MCP server for Instagram, TikTok, YouTube, X and Facebook data extraction and automation.

- Trust score: 78/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- npm · `caelario-mcp`: 78/100 (this document), [markdown](https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp.md), [page](https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp)

## Channel facts

- Registry: `npm`
- Package: `caelario-mcp`
- Version: `0.1.5`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-09-20.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 0 of 3 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 25 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 63/100
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 1093 tokens (~52/item across 21 items; 21 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 87/100
  - Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 73/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 20% 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 21 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Caelario MCP server?

Caelario runs locally as an npm package, launched with npx -y caelario-mcp. 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 chunkydonut21-caelario -- npx -y caelario-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "chunkydonut21-caelario": {
      "command": "npx",
      "args": [
        "-y",
        "caelario-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "chunkydonut21-caelario": {
      "command": "npx",
      "args": [
        "-y",
        "caelario-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add chunkydonut21-caelario -- npx -y caelario-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "chunkydonut21-caelario": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "caelario-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add chunkydonut21-caelario --command npx --arg -y --arg caelario-mcp
```

### Hermes

```yaml
mcp_servers:
  chunkydonut21-caelario:
    command: "npx"
    args: ["-y", "caelario-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "chunkydonut21-caelario": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "caelario-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add chunkydonut21-caelario -t stdio -c npx -a -y caelario-mcp
```

### Other

```json
{
  "mcpServers": {
    "chunkydonut21-caelario": {
      "command": "npx",
      "args": [
        "-y",
        "caelario-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-09-19 (score 78, +1)

- [functional regression] Security disclosure: unverified → fail

### 2026-09-18 (score 77, 0)

- [functional regression] Security disclosure: fail → unverified

### 2026-09-17 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-14 (score 76, +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.

### 2026-09-12 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-09 (score 73, 0)

- [functional] Schema quality: good → fair

### 2026-09-08 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (21)

### `discover_platforms` (~23 tokens)

List every Caelario platform, operation, limit, and price.

### `get_operation_guide` (~45 tokens)

Explain and validate one operation before spending credits.

Input parameters:

- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms

### `get_account` (~15 tokens)

Return workspace identity and extraction limits.

### `get_credit_usage` (~22 tokens)

Return available, reserved, promotional, purchased, and spent credits.

### `estimate_credits` (~71 tokens)

Estimate the maximum reservation for one or many targets before starting work.

Input parameters:

- `include_posts` (integer)
- `limit` (integer)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `target_count` (integer)

### `extract_now` (~119 tokens)

Run one bounded target synchronously and return a model-safe result page.

Input parameters:

- `cursor` (string)
- `idempotency_key` (string)
- `include_posts` (integer)
- `limit` (integer)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `result_limit` (integer)
- `result_offset` (integer)
- `target` (string, required)
- `text_limit` (integer)
- `text_offset` (integer)

### `create_extraction` (~88 tokens)

Create one durable extraction job for work that may continue in the background.

Input parameters:

- `cursor` (string)
- `idempotency_key` (string)
- `include_posts` (integer)
- `limit` (integer)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `target` (string, required)

### `list_extractions` (~27 tokens)

List recent durable extraction jobs without embedding their large results.

Input parameters:

- `limit` (integer)

### `get_extraction` (~29 tokens)

Get one job's progress, billing, and error metadata.

Input parameters:

- `job_id` (string, required)

### `get_extraction_result` (~61 tokens)

Page through a completed job's structured result without flooding model context.

Input parameters:

- `job_id` (string, required)
- `limit` (integer)
- `offset` (integer)
- `text_limit` (integer)
- `text_offset` (integer)

### `wait_for_extraction` (~50 tokens)

Wait briefly for a durable job to become terminal without returning its large result.

Input parameters:

- `job_id` (string, required)
- `poll_interval_seconds` (number)
- `timeout_seconds` (number)

### `cancel_extraction` (~29 tokens)

Cancel a queued job or request cancellation of a running job.

Input parameters:

- `job_id` (string, required)

### `create_batch` (~81 tokens)

Run one operation for up to 100 targets as an expandable durable batch.

Input parameters:

- `idempotency_key` (string)
- `include_posts` (integer)
- `limit` (integer)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `targets` (array, required)

### `list_batches` (~32 tokens)

List recent batches and optionally their child jobs.

Input parameters:

- `include_jobs` (boolean)
- `limit` (integer)

### `get_batch` (~26 tokens)

Get aggregate status and child jobs for one batch.

Input parameters:

- `batch_id` (string, required)

### `cancel_batch` (~27 tokens)

Cancel queued batch children and request cancellation of running children.

Input parameters:

- `batch_id` (string, required)

### `list_schedules` (~23 tokens)

List active and paused extraction schedules.

Input parameters:

- `limit` (integer)

### `get_schedule` (~25 tokens)

Get one schedule and its recent run history.

Input parameters:

- `schedule_id` (string, required)

### `create_schedule` (~100 tokens)

Create a timezone-aware once, daily, weekly, or monthly extraction schedule.

Input parameters:

- `frequency` (string, required)
- `include_posts` (integer)
- `limit` (integer)
- `name` (string, required)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `starts_at` (string, required)
- `targets` (array, required)
- `timezone` (string, required)

### `update_schedule` (~103 tokens)

Replace a schedule definition while preserving its run history.

Input parameters:

- `frequency` (string, required)
- `include_posts` (integer)
- `limit` (integer)
- `name` (string, required)
- `operation` (string, required): Operation returned by discover_platforms
- `platform` (string, required): Platform returned by discover_platforms
- `schedule_id` (string, required)
- `starts_at` (string, required)
- `targets` (array, required)
- `timezone` (string, required)

### `manage_schedule` (~36 tokens)

Pause, resume, run now, or delete an extraction schedule.

Input parameters:

- `action` (string, required)
- `schedule_id` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp#diagnostics

## Score history

- 2026-09-20: 78
- 2026-09-19: 78
- 2026-09-18: 77
- 2026-09-17: 77
- 2026-09-16: 76
- 2026-09-15: 76
- 2026-09-14: 76
- 2026-09-13: 75
- 2026-09-12: 75
- 2026-09-11: 74
- 2026-09-10: 74
- 2026-09-09: 73
- 2026-09-08: 73
- 2026-09-07: 72
- 2026-09-06: 72
- 2026-09-05: 71
- 2026-09-04: 71
- 2026-09-03: 70
- 2026-09-02: 70
- 2026-09-01: 69
- 2026-08-31: 69
- 2026-08-30: 69
- 2026-08-29: 68
- 2026-08-28: 68
- 2026-08-27: 67
- 2026-08-26: 39
- 2026-08-25: 48

## Common questions

### What is the Caelario MCP server?

Caelario is an MCP server listed in the public MCP registry as io.github.chunkydonut21/caelario. MCP server for Instagram, TikTok, YouTube, X and Facebook data extraction and automation. This page covers its npm package (caelario-mcp).

### Is the Caelario MCP server safe to use?

Caelario scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. 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 Caelario MCP server expose?

Caelario exposes 21 tools: discover_platforms, get_operation_guide, get_account, get_credit_usage, estimate_credits, and 16 more. Their descriptions and schemas cost roughly 1,032 tokens of context every time the server is loaded.

### Is the Caelario MCP server still maintained?

Caelario is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Caelario MCP server under?

Caelario declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/caelario-mcp
- Socket report: https://socket.dev/npm/package/caelario-mcp
- Repository: https://github.com/chunkydonut21/caelario-mcp
- Website: https://caelario.com/mcp-server
- Changelog RSS feed: https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp.json
- HTML version of this page: https://verifymcp.io/servers/chunkydonut21-caelario/caelario-mcp