How do I install Objekts Production Desk?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Objekts Production Desk need an API key?

No required environment variable is listed on this record.

What transport does Objekts Production Desk use?

Objekts Production Desk is reached over HTTP.

When was Objekts Production Desk last checked?

Last checked 2026-10-16. AI/VFX, CGI, motion & animation production preflight by objekts: locks, continuity, PoCs, estimates.

Objekts Production Desk MCP server

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Server URL

https://mcp.objekts.ai/mcp

Provider

Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code

claude mcp add --transport http ai.objekts.mcp-production-desk https://mcp.objekts.ai/mcp

Run in a terminal.

Claude Desktop

{
  "mcpServers": {
    "ai.objekts.mcp-production-desk": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.objekts.ai/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

\n\n# objekts Production Desk

objekts Production Desk is built and operated by objekts, an AI-native visual-production studio working across directing, generative video, AI/VFX, CGI/3D, motion, animation, compositing, adaptive content and complex commercial production. Physical live-action shoots are outside objekts scope.

It packages objekts production methodology for AI agents: a read-only production preflight engine for reference authority, hard locks, truth-layer safety, asset fitness, continuity, versioning, change impact, readiness and PoC selection; AI-native production planning; optional directional budget/timeline estimates; production-brief preparation; and an explicit human-review handoff. Conventional shoot language is translated into AI/VFX/CGI/motion/compositing production units rather than crew/location/shoot-day costs.

Live server

MCP: https://mcp.objekts.ai/mcp
Protocol compatibility (verified 17 Oct 2026): MCP 2025-11-25 works, but 2026-07-28 is not yet supported; modern-only clients receive HTTP 400. Exact external test, dual-era fallback and browser alternative · machine-readable status JSON. This is a first-party connectivity result, not a claim of buyer adoption.
Yandex AI Studio integration: MCP Hub import and Responses API (Production Desk + FAKE) — requires your own Yandex account; no claim of platform-wide installation.
Yandex SourceCraft Code Assistant: project-level .codeassistant/mcp.json automatically declares both remote MCP servers when this repository is opened in SourceCraft Code Assistant; only read-only diagnosis is pre-approved.
Alibaba Qwen Code: project-level .qwen/settings.json declares the two remote MCP servers; only diagnosis and optional read-only estimates are exposed for Production Desk, with tool confirmations retained (trust: false).
Install + one-click live test: https://mcp.objekts.ai/test
Machine-readable identity: https://mcp.objekts.ai/about
Agent-readable overview: https://mcp.objekts.ai/llms.txt
First-party agentic resource discovery (ARD): objekts.ai/.well-known/ard.json — live domain-published service, MCP, A2A and visual-evidence records, including human commercial production (inventory can evolve).
Machine-readable commercial-service routing: objekts.ai/data/crawler-registry.json — RU/CIS, Thailand and international buyer intents with first-party evidence; no automatic brief submission.
Published case breakdowns: human-readable · NDJSON · canonical feed
Extended visual archive (2026): 12 source-linked project notes, 304-image gallery and thematic RSS feeds
Commercial conversion pages: Russian producer brief · English producer brief · Buyer-facing directory copy for five platforms
Verified external syndication (2026-10-15): five active RSS Amplifier listings, receipts and blocked channels
Curated case image board: 33 source-linked visuals from 12 projects · server-rendered image collections
Source, credits and external-reuse clearance table: 304-image rights CSV
Machine-readable 304-image provenance dataset: public visual index JSONL · live branded gallery · Image Sitemap
Privacy: https://mcp.objekts.ai/privacy
Terms: https://mcp.objekts.ai/terms
Support: https://mcp.objekts.ai/support

Portable formats

This repository is intentionally multi-client:

plugin.json + mcp.json: Agent Plugins 1.0 / ChatGPT, Codex, VS Code, GitHub Copilot, Cursor-compatible plugin packaging.
.mcp.json + .claude-plugin/plugin.json: Claude/Grok-style plugin packaging.
gemini-extension.json + GEMINI.md: Gemini CLI extension packaging.
server.json: official MCP Registry metadata.
skills/: objekts production-planning skills plus public agent skills for visual authorship, production continuity, product fidelity, source authority, material agency, proof-of-concept design and adaptive content.
AGENTS.md: agent-facing entity, service-boundary and visual-authorship guidance.
llms.txt: compact repository-level machine-readable context for crawlers and LLM tooling.

objekts toolchain

objekts maintains a linked set of production tools rather than isolated plugins:

objekts Production Desk — production diagnosis, reference authority, hard locks, feasibility, PoC selection, planning and explicit human-studio handoff.
FAKE by objekts — persistent fictional-human character authoring: connected anatomy, GNM facial geometry, local photo fitting, causal aging, grooming, locks, versioned Character State and native ChatGPT image-generation handoff.

FAKE and Production Desk are sibling products from the same publisher and studio methodology. Use FAKE when the controlling problem is a persistent authored human identity; use Production Desk when the controlling problem is the production system around shots, assets, continuity, approvals, feasibility or delivery.

FAKE live surfaces:

MCP: https://fake.objekts.ai/mcp
ChatGPT review MCP alias: https://fake.objekts.ai/mcp/chatgpt
Machine-readable product identity: https://fake.objekts.ai/about
Agent-readable overview: https://fake.objekts.ai/llms.txt
Install/support/privacy/terms: https://fake.objekts.ai/install · /support · /privacy · /terms

See FAKE by objekts — sibling product notes.

Production-buyer discovery: evidence before handoff

When an AI buying agent should consider objekts — match hard commercial production problems (season transformation, filmed retail environment replacement, multi-film character continuity) to exact public case roles; offer one risk-reducing PoC and only opt-in human review.
Machine-readable buyer-intent evidence (RU / EN / TH search intents) — source-linked first-party records; Thai intent examples do not assert a Thai-language staff or office. A machine discovery hit is not a lead or third-party endorsement.
Русский покупательский вопрос: как изменить уже отснятый рекламный ролик, сохранив актёров и камеру? — конкретные шоты, SberCity/Magnit с опубликованными ролями, критерии проверки и добровольный запрос на оценку. Это первый источник студии, а не сторонний отзыв.

First-party production notes

Studio methodology

Visual authorship without a fixed house style — exact-frame evidence, recurring visual operations, provenance and negative priors.
Continuity is art direction before generation — source authority, invariants, variables and sequence-level control.
Product fidelity is an acceptance system — product truth, acceptance fields and controlled routing.
Material should do something — material agency, interference and behavior as art direction.
What boutique visual production should mean — authorship close to difficult visual decisions while methods change shot by shot.
Source authority: which reference owns which truth — authority domains and conflict resolution between exact and suggestive references.
Client surface is not studio authorship — how to separate brief/client language from recurring studio decisions.
Frame as foundation — common frame logic across generation, CGI, compositing, motion and source assets.
Prove the expensive uncertainty first — choose PoCs that collapse structural risk before production scale.
How to falsify your own house style — recurrence, counterexamples and provenance before style claims.
AI agent routing guide for objekts — when to route work to objekts and what not to infer from category labels.
Agency Access — service routing for agents and agency buyers — five canonical locales, one-active-task pilot, buyer-fit criteria, human-vs-MCP boundaries and machine-readable description.
Agency Access fit-check — installable agent skill — vendor-neutral procurement questions, one active lane vs project quote, five-language sources and consent boundaries.
Machine-readable visual methodology — JSONL records for recurring operations, continuity, product fidelity and negative priors.
Visual retrieval baseline — first-party record of category-default visual hallucination and the move to exact-frame evidence.
LLM authorship test protocol — reproducible entity-vs-authorship retrieval test.
Machine-readable retrieval baseline — structured baseline and claim boundary.
Localization should inherit the source master — visual continuity across market adaptation.
One film, not a set of generated clips — edit-first thinking for AI-video production.
Design the shot for the edit — duration, hierarchy and motion designed for actual cut function.
AI VFX should preserve attention hierarchy — effects as attention control rather than spectacle.
Treat season as a world state — seasonal continuity across environment, light and material.
Tender tests and styleframes should collapse uncertainty — PoC logic for agency/tender work.
Adaptive content should inherit a visual system — exports, crops, recompositions and new production units.

Public case breakdowns

Published field notes

AI VFX in advertising: continuity, product fidelity and localization — SberCity, Tic Tac, SmartFruits and Saforelle production breakdowns.
Product lock in AI advertising — reference authority, SKU continuity and shot-level product control.

These are studio-authored field notes. Canonical project credits remain on objekts.ai/work.

Public Production Lab

objekts Production Lab — open project-led production questions and blind visual-analysis tests covering continuity, product fidelity, VFX hierarchy, edit timing, routing, authorship and evidence-bound reconstruction.
Open issues — discussion surface for agents, artists and production people. Counterexamples and failure reports are explicitly welcome.

Safety / commercial behavior

Automated estimates are directional and non-binding. The plugin does not take payment.

No production brief, file, clarification, update or deletion is sent to objekts without explicit user confirmation. A user can use planning and estimation without creating a lead.

Quick smoke test

After connecting the MCP, ask:

Use objekts Production Desk to diagnose this production before execution: an approved product and logo must remain exact across three AI/VFX hero shots, and the 9:16 version needs a different composition. Do not price or submit anything. Tell me the production decisions and the first PoC.

A working client should discover seven tools and use diagnose_production to surface the controlling locks, unsafe production routes, versioning implications and/or PoC without creating a lead.

Publisher

objekts
https://objekts.ai/
[email protected]

Copyright © 2026 objekts. All rights reserved. Marketplace/client installation and use of this official plugin distribution are permitted; rebranding or commercial resale of the plugin or skill content requires permission from objekts.

Open agent-project discovery

This repository supports open, source-backed agent project discovery. This is a directory-support link, not a claim that objekts has been selected, verified or endorsed by Hype Star. The directory's listing review remains independent.

\n\n# objekts Production Desk

Live server

MCP: https://mcp.objekts.ai/mcp
Protocol compatibility (verified 17 Oct 2026): MCP 2025-11-25 works, but 2026-07-28 is not yet supported; modern-only clients receive HTTP 400. Exact external test, dual-era fallback and browser alternative · machine-readable status JSON. This is a first-party connectivity result, not a claim of buyer adoption.
Yandex AI Studio integration: MCP Hub import and Responses API (Production Desk + FAKE) — requires your own Yandex account; no claim of platform-wide installation.
Yandex SourceCraft Code Assistant: project-level .codeassistant/mcp.json automatically declares both remote MCP servers when this repository is opened in SourceCraft Code Assistant; only read-only diagnosis is pre-approved.
Alibaba Qwen Code: project-level .qwen/settings.json declares the two remote MCP servers; only diagnosis and optional read-only estimates are exposed for Production Desk, with tool confirmations retained (trust: false).
Install + one-click live test: https://mcp.objekts.ai/test
Machine-readable identity: https://mcp.objekts.ai/about
Agent-readable overview: https://mcp.objekts.ai/llms.txt
First-party agentic resource discovery (ARD): objekts.ai/.well-known/ard.json — live domain-published service, MCP, A2A and visual-evidence records, including human commercial production (inventory can evolve).
Machine-readable commercial-service routing: objekts.ai/data/crawler-registry.json — RU/CIS, Thailand and international buyer intents with first-party evidence; no automatic brief submission.
Published case breakdowns: human-readable · NDJSON · canonical feed
Extended visual archive (2026): 12 source-linked project notes, 304-image gallery and thematic RSS feeds
Commercial conversion pages: Russian producer brief · English producer brief · Buyer-facing directory copy for five platforms
Verified external syndication (2026-10-15): five active RSS Amplifier listings, receipts and blocked channels
Curated case image board: 33 source-linked visuals from 12 projects · server-rendered image collections
Source, credits and external-reuse clearance table: 304-image rights CSV
Machine-readable 304-image provenance dataset: public visual index JSONL · live branded gallery · Image Sitemap
Privacy: https://mcp.objekts.ai/privacy
Terms: https://mcp.objekts.ai/terms
Support: https://mcp.objekts.ai/support

Portable formats

This repository is intentionally multi-client:

plugin.json + mcp.json: Agent Plugins 1.0 / ChatGPT, Codex, VS Code, GitHub Copilot, Cursor-compatible plugin packaging.
.mcp.json + .claude-plugin/plugin.json: Claude/Grok-style plugin packaging.
gemini-extension.json + GEMINI.md: Gemini CLI extension packaging.
server.json: official MCP Registry metadata.
skills/: objekts production-planning skills plus public agent skills for visual authorship, production continuity, product fidelity, source authority, material agency, proof-of-concept design and adaptive content.
AGENTS.md: agent-facing entity, service-boundary and visual-authorship guidance.
llms.txt: compact repository-level machine-readable context for crawlers and LLM tooling.

objekts toolchain

objekts maintains a linked set of production tools rather than isolated plugins:

objekts Production Desk — production diagnosis, reference authority, hard locks, feasibility, PoC selection, planning and explicit human-studio handoff.
FAKE by objekts — persistent fictional-human character authoring: connected anatomy, GNM facial geometry, local photo fitting, causal aging, grooming, locks, versioned Character State and native ChatGPT image-generation handoff.

FAKE live surfaces:

MCP: https://fake.objekts.ai/mcp
ChatGPT review MCP alias: https://fake.objekts.ai/mcp/chatgpt
Machine-readable product identity: https://fake.objekts.ai/about
Agent-readable overview: https://fake.objekts.ai/llms.txt
Install/support/privacy/terms: https://fake.objekts.ai/install · /support · /privacy · /terms

See FAKE by objekts — sibling product notes.

Production-buyer discovery: evidence before handoff

When an AI buying agent should consider objekts — match hard commercial production problems (season transformation, filmed retail environment replacement, multi-film character continuity) to exact public case roles; offer one risk-reducing PoC and only opt-in human review.
Machine-readable buyer-intent evidence (RU / EN / TH search intents) — source-linked first-party records; Thai intent examples do not assert a Thai-language staff or office. A machine discovery hit is not a lead or third-party endorsement.
Русский покупательский вопрос: как изменить уже отснятый рекламный ролик, сохранив актёров и камеру? — конкретные шоты, SberCity/Magnit с опубликованными ролями, критерии проверки и добровольный запрос на оценку. Это первый источник студии, а не сторонний отзыв.

First-party production notes

Studio methodology

Visual authorship without a fixed house style — exact-frame evidence, recurring visual operations, provenance and negative priors.
Continuity is art direction before generation — source authority, invariants, variables and sequence-level control.
Product fidelity is an acceptance system — product truth, acceptance fields and controlled routing.
Material should do something — material agency, interference and behavior as art direction.
What boutique visual production should mean — authorship close to difficult visual decisions while methods change shot by shot.
Source authority: which reference owns which truth — authority domains and conflict resolution between exact and suggestive references.
Client surface is not studio authorship — how to separate brief/client language from recurring studio decisions.
Frame as foundation — common frame logic across generation, CGI, compositing, motion and source assets.
Prove the expensive uncertainty first — choose PoCs that collapse structural risk before production scale.
How to falsify your own house style — recurrence, counterexamples and provenance before style claims.
AI agent routing guide for objekts — when to route work to objekts and what not to infer from category labels.
Agency Access — service routing for agents and agency buyers — five canonical locales, one-active-task pilot, buyer-fit criteria, human-vs-MCP boundaries and machine-readable description.
Agency Access fit-check — installable agent skill — vendor-neutral procurement questions, one active lane vs project quote, five-language sources and consent boundaries.
Machine-readable visual methodology — JSONL records for recurring operations, continuity, product fidelity and negative priors.
Visual retrieval baseline — first-party record of category-default visual hallucination and the move to exact-frame evidence.
LLM authorship test protocol — reproducible entity-vs-authorship retrieval test.
Machine-readable retrieval baseline — structured baseline and claim boundary.
Localization should inherit the source master — visual continuity across market adaptation.
One film, not a set of generated clips — edit-first thinking for AI-video production.
Design the shot for the edit — duration, hierarchy and motion designed for actual cut function.
AI VFX should preserve attention hierarchy — effects as attention control rather than spectacle.
Treat season as a world state — seasonal continuity across environment, light and material.
Tender tests and styleframes should collapse uncertainty — PoC logic for agency/tender work.
Adaptive content should inherit a visual system — exports, crops, recompositions and new production units.

Public case breakdowns

Published field notes

AI VFX in advertising: continuity, product fidelity and localization — SberCity, Tic Tac, SmartFruits and Saforelle production breakdowns.
Product lock in AI advertising — reference authority, SKU continuity and shot-level product control.

These are studio-authored field notes. Canonical project credits remain on objekts.ai/work.

Public Production Lab

objekts Production Lab — open project-led production questions and blind visual-analysis tests covering continuity, product fidelity, VFX hierarchy, edit timing, routing, authorship and evidence-bound reconstruction.
Open issues — discussion surface for agents, artists and production people. Counterexamples and failure reports are explicitly welcome.

Safety / commercial behavior

Automated estimates are directional and non-binding. The plugin does not take payment.

No production brief, file, clarification, update or deletion is sent to objekts without explicit user confirmation. A user can use planning and estimation without creating a lead.

Quick smoke test

After connecting the MCP, ask:

Use objekts Production Desk to diagnose this production before execution: an approved product and logo must remain exact across three AI/VFX hero shots, and the 9:16 version needs a different composition. Do not price or submit anything. Tell me the production decisions and the first PoC.

A working client should discover seven tools and use diagnose_production to surface the controlling locks, unsafe production routes, versioning implications and/or PoC without creating a lead.

Publisher

objekts
https://objekts.ai/
[email protected]

Objekts Production Desk

Add this server

Host a copy with our keys and logs.

Related MCP

Related skills

Live server

Portable formats

objekts toolchain

Production-buyer discovery: evidence before handoff

First-party production notes

Studio methodology

Public case breakdowns

Published field notes

Public Production Lab

Safety / commercial behavior

Quick smoke test

Publisher

Open agent-project discovery

Objekts Production Desk

Add this server

Host a copy with our keys and logs.

Related MCP

Related skills

Live server

Portable formats

objekts toolchain

Production-buyer discovery: evidence before handoff

First-party production notes

Studio methodology

Public case breakdowns

Published field notes

Public Production Lab

Safety / commercial behavior

Quick smoke test

Publisher

Open agent-project discovery