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GetRun

REMOTE · RUN.GETCORE.ID · SCANNED SEP 20

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

Available components

+3 this week 82 Trust /100
Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Endpoint Security94
Transport & Reachability100
Schema Quality & AI Usability75
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 2064 tokens (~98/item across 21 items; 21 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
  • Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage84
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 51% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities73
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
  • Supports UI / widget rendering.Pass
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.

remote · run.getcore.id

# add to Claude Code
claude mcp add --transport http id-getrun-getrun 'https://run.getcore.id/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "id-getrun-getrun": {
      "url": "https://run.getcore.id/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "id-getrun-getrun": {
      "type": "http",
      "url": "https://run.getcore.id/mcp"
    }
  }
}
# ~/.codex/config.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
    }
  }
}
# add to OpenClaw
openclaw mcp add id-getrun-getrun --url 'https://run.getcore.id/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  id-getrun-getrun:
    url: "https://run.getcore.id/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "id-getrun-getrun": {
      "Transport": "http",
      "Url": "https://run.getcore.id/mcp"
    }
  }
}
# add to Vellum
assistant mcp add id-getrun-getrun -t streamable-http -u 'https://run.getcore.id/mcp'
// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 0
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 19 Sept 26 +1
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 18 Sept 26 0
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 17 Sept 26 0
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 16 Sept 26 +1
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 15 Sept 26 0
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 14 Sept 26 +1
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 13 Sept 26 0
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Probed https://run.getcore.id/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=run.getcore.id CN=YE1,O=Let's Encrypt,C=US 17 Sept 2026 16 Dec 2026 ECDSA 256 ECDSA-SHA384 6bf3546df7740e0d0b7e84ef3ca33e002c7
SANs: run.getcore.id
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of run.getcore.id. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
id. present 26887 8 Verified
getcore.id. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On tool calls
HTTP status 200

WWW-Authenticate challenge Bearer realm="getrun-mcp", resource_metadata="https://run.getcore.id/.well-known/oauth-protected-resource"

Bearer realm="getrun-mcp", resource_metadata="https://run.getcore.id/.well-known/oauth-protected-resource"
Header Value
strict-transport-security max-age=31536000; includeSubDomains
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin

Protected resource metadata

Document https://run.getcore.id/.well-known/oauth-protected-resource
Retrieved Yes
Resource https://run.getcore.id/mcp
Authorisation server https://run.getcore.id

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://run.getcore.id/mcp Verified 200
http (plaintext) http://run.getcore.id/mcp HTTPS enforced 301 https://run.getcore.id/mcp
MCP tools · 21 exposed · ~1,946 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
getrun_blender_create_project ~43

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

NameTypeReqDescription
idstringyes
titlestringyes

No output schema declared.

No examples provided.

getrun_blender_get_project ~42

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

NameTypeReqDescription
projectIdstringyes

No output schema declared.

No examples provided.

getrun_blender_list_projects ~23

Daftar proyek 3D Studio milik pengguna.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

getrun_blender_quote ~60

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

NameTypeReqDescription
profilestringyes
projectIdstringyes
versionIdstringyes

No output schema declared.

No examples provided.

getrun_blender_render ~102

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.

NameTypeReqDescription
idstringyes
priceIdrintegeryes
profilestringyes
projectIdstringyes
settingsVersionintegeryes
versionIdstringyes

No output schema declared.

No examples provided.

getrun_blender_save_scene ~115

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.

NameTypeReqDescription
draftobjectyes
idstringyes
projectIdstringyes
revisionintegeryes

No output schema declared.

No examples provided.

getrun_chat ~92

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

NameTypeReqDescription
max_tokensinteger
modelstringmodel_id berkategori text.
promptstringyesPesan untuk model.
systemstringInstruksi sistem opsional.

No output schema declared.

No examples provided.

getrun_delete_character ~45

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

NameTypeReqDescription
namestringyesNama karakter yang mau dihapus.

No output schema declared.

No examples provided.

getrun_estimate_price ~81

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

NameTypeReqDescription
inputobjectParameter yang akan dipakai. Boleh kosong untuk harga konfigurasi default.
modelstringyesmodel_id dari getrun_list_models.

No output schema declared.

No examples provided.

getrun_generate_audio ~114

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.

NameTypeReqDescription
modelstring
optionsobject
promptstringyesDeskripsi lagu/efek, atau teks yang akan dibacakan untuk TTS.
voicestringNama atau id suara untuk model TTS.
wait_secondsinteger

No output schema declared.

No examples provided.

getrun_generate_image ~202

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.

NameTypeReqDescription
aspect_ratiostringMis. "1:1", "16:9", "9:16".
characterstringNama karakter tersimpan. Rupa dan gambar acuannya otomatis disisipkan supaya wajahnya konsisten dengan generation sebelumnya. Isi cukup dengan promptnya adegan saja.
image_urlsarrayURL gambar referensi untuk image-to-image atau edit.
modelstringmodel_id tertentu; kosongkan untuk default.
optionsobjectParameter tambahan spesifik model, sesuai parameters_schema-nya.
promptstringyesDeskripsi gambar yang diinginkan.
wait_secondsinteger

No output schema declared.

No examples provided.

getrun_generate_video ~169

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.

NameTypeReqDescription
aspect_ratiostringMis. "16:9" atau "9:16".
characterstringNama karakter tersimpan; rupa dan gambar acuannya otomatis disisipkan.
duration_secondsnumberDurasi klip bila model mendukung.
image_urlstringGambar awal untuk image-to-video.
modelstring
optionsobject
promptstringyesDeskripsi adegan dan gerakannya.
wait_secondsinteger

No output schema declared.

No examples provided.

getrun_get_balance ~29

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

getrun_get_task ~45

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

NameTypeReqDescription
task_idstringyes

No output schema declared.

No examples provided.

getrun_hide_creation ~48

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

NameTypeReqDescription
task_idstringyes

No output schema declared.

No examples provided.

getrun_list_characters ~63

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".

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

getrun_list_creations ~51

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

NameTypeReqDescription
limitinteger
only_succeededboolean

No output schema declared.

No examples provided.

getrun_list_models ~117

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.

NameTypeReqDescription
categorystringSaring berdasarkan jenis keluaran.
include_schemabooleanSertakan JSON Schema parameter tiap model. Nyalakan hanya saat akan memakai getrun_run_model.
limitinteger
searchstringCari pada nama model, id, atau pembuatnya.

No output schema declared.

No examples provided.

getrun_run_model ~100

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.

NameTypeReqDescription
inputobjectyesParameter persis seperti parameters_schema model.
modelstringyesmodel_id dari katalog.
wait_secondsinteger

No output schema declared.

No examples provided.

getrun_save_character ~172

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.

NameTypeReqDescription
appearancestringyesDeskripsi rupa yang akan disisipkan di depan setiap prompt.
descriptionstringCatatan bebas untuk pemiliknya.
namestringyesNama panggilan karakter, unik dalam project.
reference_imagesarrayURL gambar acuan, mis. hasil generation sebelumnya. Model yang menerima gambar acuan akan jauh lebih konsisten daripada yang hanya membaca deskripsi.

No output schema declared.

No examples provided.

getrun_upload_image ~233

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.

NameTypeReqDescription
datastringIsi gambar dalam base64 (boleh berformat data URI). Hanya praktis untuk gambar kecil.
source_urlstringURL gambar publik yang mau disalin ke storage GetRun. Harus bisa dibuka tanpa login.
ticketstringTiket dari pemanggilan sebelumnya. Isi ini untuk mengambil URL gambar yang sudah dikirim user lewat tautan upload.

No output schema declared.

No examples provided.

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.