# GetRun (remote · run.getcore.id)

Image, video, audio and chat from 61 AI models through one connector. Pay per use, no subscription.

- Trust score: 82/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `run.getcore.id`: 82/100 (this document), [markdown](https://verifymcp.io/servers/id-getrun-getrun/run.md), [page](https://verifymcp.io/servers/id-getrun-getrun/run)

## Channel facts

- Endpoint: `https://run.getcore.id/mcp`
- 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 2026-09-20.

- **Endpoint Security**: 94/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation is enforced on tool calls, advertised via RFC 9728 protected-resource metadata. Discovery is public, which costs nothing: no tool can be invoked without a token.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
  - The authorisation server offers only Dynamic Client Registration (RFC 7591), which MCP 2026-07-28 deprecated in favour of Client ID Metadata Documents.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 75/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 2064 tokens (~98/item across 21 items; 21 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 40/100
  - Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 84/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 51% 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.
  - All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.
  - An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 73/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.
  - Supports UI / widget rendering.

## Install

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

GetRun is a hosted endpoint at https://run.getcore.id/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 id-getrun-getrun 'https://run.getcore.id/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "id-getrun-getrun": {
      "url": "https://run.getcore.id/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "id-getrun-getrun": {
      "type": "http",
      "url": "https://run.getcore.id/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.id-getrun-getrun]
url = "https://run.getcore.id/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "id-getrun-getrun": {
      "type": "remote",
      "url": "https://run.getcore.id/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add id-getrun-getrun --url 'https://run.getcore.id/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  id-getrun-getrun:
    url: "https://run.getcore.id/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "id-getrun-getrun": {
      "Transport": "http",
      "Url": "https://run.getcore.id/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add id-getrun-getrun -t streamable-http -u 'https://run.getcore.id/mcp'
```

### Other

```json
{
  "mcpServers": {
    "id-getrun-getrun": {
      "type": "http",
      "url": "https://run.getcore.id/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.

### 2026-09-20 (score 82, 0)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-19 (score 82, +1)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-18 (score 81, 0)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-17 (score 81, 0)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-16 (score 81, +1)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-15 (score 80, 0)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-14 (score 80, +1)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-09-13 (score 79, 0)

- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

## MCP tools (21)

### `getrun_list_models` (~117 tokens)

Lihat katalog model

Daftar model AI di katalog GetRun beserta harga dalam rupiah dan schema parameternya. Panggil ini dulu kalau perlu memilih model tertentu atau ingin tahu parameter apa yang didukung sebuah model.

Input parameters:

- `category` (string): Saring berdasarkan jenis keluaran.
- `include_schema` (boolean): Sertakan JSON Schema parameter tiap model. Nyalakan hanya saat akan memakai getrun_run_model.
- `limit` (integer)
- `search` (string): Cari pada nama model, id, atau pembuatnya.

### `getrun_get_balance` (~29 tokens)

Cek saldo

Saldo GetRun yang tersedia dan yang sedang tertahan untuk task berjalan, dalam rupiah.

### `getrun_estimate_price` (~81 tokens)

Perkirakan biaya

Hitung biaya sebuah generation SEBELUM dijalankan, memakai mesin harga yang sama dengan eksekusi. Pakai ini kalau user bertanya "berapa ongkosnya".

Input parameters:

- `input` (object): Parameter yang akan dipakai. Boleh kosong untuk harga konfigurasi default.
- `model` (string, required): model_id dari getrun_list_models.

### `getrun_upload_image` (~233 tokens)

Kirim gambar ke GetRun

Simpan sebuah gambar di storage GetRun dan kembalikan URL-nya, siap dipakai sebagai image_url/image_urls di tool generate atau sebagai gambar acuan karakter. Tiga jalur: (1) TANPA argumen — tool menerbitkan tautan upload untuk dibuka user, dipakai kalau gambarnya ada di perangkat user; panggil tool ini SEKALI LAGI dengan "ticket" yang sama setelah user bilang sudah mengirim, untuk mengambil URL-nya. (2) "source_url" — impor gambar dari URL publik yang sudah ada. (3) "data" — isi gambar dalam base64, hanya untuk gambar kecil. Tidak memotong saldo.

Input parameters:

- `data` (string): Isi gambar dalam base64 (boleh berformat data URI). Hanya praktis untuk gambar kecil.
- `source_url` (string): URL gambar publik yang mau disalin ke storage GetRun. Harus bisa dibuka tanpa login.
- `ticket` (string): Tiket dari pemanggilan sebelumnya. Isi ini untuk mengambil URL gambar yang sudah dikirim user lewat tautan upload.

### `getrun_generate_image` (~202 tokens)

Buat gambar

Buat gambar dari prompt teks memakai katalog GetRun. Bisa juga image-to-image dengan memberi image_urls. Memotong saldo GetRun user dengan tarif yang sama seperti di situs. Kalau model tidak disebut, dipakai model teratas di katalog yang bisa jalan dari prompt teks saja.

Input parameters:

- `aspect_ratio` (string): Mis. "1:1", "16:9", "9:16".
- `character` (string): Nama karakter tersimpan. Rupa dan gambar acuannya otomatis disisipkan supaya wajahnya konsisten dengan generation sebelumnya. Isi cukup dengan promptnya adegan saja.
- `image_urls` (array): URL gambar referensi untuk image-to-image atau edit.
- `model` (string): model_id tertentu; kosongkan untuk default.
- `options` (object): Parameter tambahan spesifik model, sesuai parameters_schema-nya.
- `prompt` (string, required): Deskripsi gambar yang diinginkan.
- `wait_seconds` (integer)

### `getrun_generate_video` (~169 tokens)

Buat video

Buat klip video dari prompt teks, atau animasikan sebuah gambar dengan image_url. Video butuh waktu lebih lama daripada gambar — kalau belum selesai saat tool kembali, lanjutkan dengan getrun_get_task. Memotong saldo GetRun user.

Input parameters:

- `aspect_ratio` (string): Mis. "16:9" atau "9:16".
- `character` (string): Nama karakter tersimpan; rupa dan gambar acuannya otomatis disisipkan.
- `duration_seconds` (number): Durasi klip bila model mendukung.
- `image_url` (string): Gambar awal untuk image-to-video.
- `model` (string)
- `options` (object)
- `prompt` (string, required): Deskripsi adegan dan gerakannya.
- `wait_seconds` (integer)

### `getrun_generate_audio` (~114 tokens)

Buat audio

Buat lagu, suara, atau efek audio — termasuk text-to-speech. Untuk TTS, isi prompt dengan teks yang dibacakan dan sebut voice bila perlu. Memotong saldo GetRun user.

Input parameters:

- `model` (string)
- `options` (object)
- `prompt` (string, required): Deskripsi lagu/efek, atau teks yang akan dibacakan untuk TTS.
- `voice` (string): Nama atau id suara untuk model TTS.
- `wait_seconds` (integer)

### `getrun_run_model` (~100 tokens)

Jalankan model apa pun

Jalankan model mana pun di katalog dengan parameter mentah sesuai parameters_schema-nya. Pakai ini kalau tool generate yang lebih sederhana tidak menyediakan parameter yang dibutuhkan. Ambil schema-nya dulu lewat getrun_list_models dengan include_schema=true. Memotong saldo GetRun user.

Input parameters:

- `input` (object, required): Parameter persis seperti parameters_schema model.
- `model` (string, required): model_id dari katalog.
- `wait_seconds` (integer)

### `getrun_chat` (~92 tokens)

Tanya model chat

Kirim prompt ke model chat di katalog GetRun (mis. Claude atau Grok lewat GetRun) dan kembalikan jawabannya. Ditagih per token dari saldo GetRun user.

Input parameters:

- `max_tokens` (integer)
- `model` (string): model_id berkategori text.
- `prompt` (string, required): Pesan untuk model.
- `system` (string): Instruksi sistem opsional.

### `getrun_list_characters` (~63 tokens)

Lihat karakter tersimpan

Daftar karakter tersimpan di project GetRun user — identitas visual yang bisa dipakai ulang supaya wajahnya konsisten antar generation. Panggil ini kalau user menyebut nama seseorang yang mungkin sudah disimpan, atau minta "karakter yang sama".

### `getrun_save_character` (~172 tokens)

Simpan karakter

Simpan sebuah karakter supaya rupanya bisa dipakai ulang di generation berikutnya. Isi "appearance" dengan deskripsi rupa yang detail dan tidak berubah-ubah (bentuk wajah, mata, rambut, kulit, ciri khas) — BUKAN adegan atau pakaian, karena bagian itu datang dari prompt tiap generation. Kalau namanya sudah ada, karakter itu diperbarui.

Input parameters:

- `appearance` (string, required): Deskripsi rupa yang akan disisipkan di depan setiap prompt.
- `description` (string): Catatan bebas untuk pemiliknya.
- `name` (string, required): Nama panggilan karakter, unik dalam project.
- `reference_images` (array): URL gambar acuan, mis. hasil generation sebelumnya. Model yang menerima gambar acuan akan jauh lebih konsisten daripada yang hanya membaca deskripsi.

### `getrun_delete_character` (~45 tokens)

Hapus karakter

Hapus karakter tersimpan. Hasil generation yang pernah memakainya tetap ada dan tidak ikut terhapus.

Input parameters:

- `name` (string, required): Nama karakter yang mau dihapus.

### `getrun_get_task` (~45 tokens)

Cek status generation

Ambil status dan hasil sebuah task lewat task_id. Pakai ini untuk melanjutkan generation yang belum selesai saat tool generate kembali.

Input parameters:

- `task_id` (string, required)

### `getrun_list_creations` (~51 tokens)

Riwayat generation

Daftar hasil generation terakhir di project GetRun user, lengkap dengan prompt, model, biaya, dan URL keluaran.

Input parameters:

- `limit` (integer)
- `only_succeeded` (boolean)

### `getrun_hide_creation` (~48 tokens)

Sembunyikan hasil

Sembunyikan sebuah hasil generation dari galeri creations di GetRun. Riwayat tagihannya tetap tersimpan dan tidak bisa dihapus.

Input parameters:

- `task_id` (string, required)

### `getrun_blender_list_projects` (~23 tokens)

Daftar proyek Blender

Daftar proyek 3D Studio milik pengguna.

### `getrun_blender_create_project` (~43 tokens)

Buat proyek Blender

Buat proyek 3D baru. Gunakan UUID id yang sama untuk retry.

Input parameters:

- `id` (string, required)
- `title` (string, required)

### `getrun_blender_get_project` (~42 tokens)

Lihat scene dan render Blender

Ambil versi scene, parameter, status render, dan daftar file. Project ID diperoleh dari daftar proyek.

Input parameters:

- `projectId` (string, required)

### `getrun_blender_save_scene` (~115 tokens)

Simpan versi scene Blender

Simpan draft penuh sebagai versi baru. Gunakan draft dari get_project. Scene mendukung cube/sphere/cylinder/torus (maksimal 30); location, rotation, scale, color adalah triple angka. Clay hanya mengubah shirtColor RGB 0..1 dan cameraDistance 0.6..2. Tidak menerima Python. revision harus versi proyek terbaru.

Input parameters:

- `draft` (object, required)
- `id` (string, required)
- `projectId` (string, required)
- `revision` (integer, required)

### `getrun_blender_quote` (~60 tokens)

Estimasi render Blender

Ambil priceIdr dan settingsVersion sebelum render. Preview adalah PNG; final scene PNG, final clay MP4 tanpa audio.

Input parameters:

- `profile` (string, required)
- `projectId` (string, required)
- `versionId` (string, required)

### `getrun_blender_render` (~102 tokens)

Render Blender Cloud

Render versi yang telah disimpan. Menahan saldo sebesar quote yang telah disetujui pengguna. Wajib memakai priceIdr/settingsVersion dari quote; UUID id tetap sama untuk retry. Pantau melalui get_project.

Input parameters:

- `id` (string, required)
- `priceIdr` (integer, required)
- `profile` (string, required)
- `projectId` (string, required)
- `settingsVersion` (integer, required)
- `versionId` (string, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/id-getrun-getrun/run#diagnostics

## Score history

- 2026-09-20: 82
- 2026-09-19: 82
- 2026-09-18: 81
- 2026-09-17: 81
- 2026-09-16: 81
- 2026-09-15: 80
- 2026-09-14: 80
- 2026-09-13: 79
- 2026-09-12: 79
- 2026-09-11: 78
- 2026-09-10: 78
- 2026-09-09: 77
- 2026-09-08: 78
- 2026-09-07: 38

## Common questions

### What is the GetRun MCP server?

GetRun is an MCP server listed in the public MCP registry as id.getrun/getrun. Image, video, audio and chat from 61 AI models through one connector. Pay per use, no subscription. This page covers its hosted endpoint (https://run.getcore.id/mcp).

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

GetRun scores 82 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 GetRun MCP server expose?

GetRun exposes 21 tools: getrun_list_models, getrun_get_balance, getrun_estimate_price, getrun_upload_image, getrun_generate_image, and 16 more. Their descriptions and schemas cost roughly 1,946 tokens of context every time the server is loaded.

### Does the GetRun MCP server require authentication?

Yes. GetRun asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

### Is the GetRun MCP server still maintained?

GetRun 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.

## Links

- Remote endpoint: https://run.getcore.id/mcp
- Repository: https://github.com/Getcore-ID/getrun-mcp
- Website: https://getrun.id/
- Changelog RSS feed: https://verifymcp.io/servers/id-getrun-getrun/run.xml
- Changelog JSON feed: https://verifymcp.io/servers/id-getrun-getrun/run.json
- HTML version of this page: https://verifymcp.io/servers/id-getrun-getrun/run