MCP server

GEN

io.github.poweredbyGEN/gen-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

GEN is the creative AI video engineer. Free editor/social publishing; AI credits via card/x402.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

19

Token cost

About 81,718 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http gen-mcp-server https://mcp.gen.pro

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.gen-mcp-server]
url = "https://mcp.gen.pro"

Gemini CLI

{"mcpServers":{"gen-mcp-server":{"httpUrl":"https://mcp.gen.pro"}}}

Cursor

{"mcpServers":{"gen-mcp-server":{"url":"https://mcp.gen.pro"}}}

VS Code

{"servers":{"gen-mcp-server":{"type":"http","url":"https://mcp.gen.pro"}}}

Antigravity

agy mcp add gen-mcp-server https://mcp.gen.pro

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"gen-mcp-server","server_url":"https://mcp.gen.pro","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"gen-mcp-server","server_url":"https://mcp.gen.pro"}

Tools

• gen_agent_action ~4061 tokens
  Manage assistants and their profiles. One call carries one or more typed actions: set_profile (flat brand_name | description | competitors | identity_type | goal | target_platforms | shortform | longform | look | personality | persona_inspirations | research_topics | content_themes | monitored) | se
• gen_analyze ~9456 tokens
  Analyze real social data and research the web: collect is the typed collection seam — one synchronous DW /collect call per request, answered as model-visible evidence + a per-target coverage summary + result cards (never a job id, never PENDING). For a request to analyze N videos, use collect with c
• gen_ask ~2800 tokens
  Ask GEN anything in plain words: a question, or a build goal for the composer. gen_ask is for durable multi-step work and scheduled or recurring work: GEN plans it, pauses for approval and keeps it in one conversation. For a single action, call that action's typed tool directly. A chat sent without
• gen_asset_action ~1837 tokens
  Manage the agent's asset library: analyze any asset_id or file url with kind video/image/audio (quoted, confirmed DW enrichment; documents are refused until DW supports them; cached repeats are free), poll the job with gen_discover domain=asset view=analysis, or upload a file in two steps (create_di
• gen_billing_action ~1872 tokens
  Open a Stripe payment page for a workspace plan or credit pack with open_checkout (organization_id, credit_plan_id from billing.plans). Use open_checkout when the user asks to open checkout or subscribe to a plan; it creates a payment link and never charges a saved card. Do not use gen_sign_in_link
• gen_characters ~2305 tokens
  Characters: one person each, with looks (images of the person) and talking characters (talking videos of the person with their voice, generated from a look or uploaded). For 'create a character', op=create is the first call — do not list characters or read gen_discover agent.profile_photos first (th
• gen_content_action Deletes data · ~10307 tokens
  Manage an agent's content: its content resource files — create one from an uploaded file (create_content_resource), rename one (update_content_resource), or permanently delete one (delete_content_resource) — and its content ideas. generate_ideas is the content-ideas handshake: its first call answers
• gen_discover ~7789 tokens
  READ-ONLY. Live per-request JSON Schema forms: domain=contracts view=form target=<tool>[.<branch>] or a published output kind (StoryboardV1 aliases BuildPlanV1), agent_id required. Forms use the accepted tool contract and live choices. Versioned stage/job/delivery schemas: domain=contracts view=sche
• gen_feedback ~375 tokens
  Send feedback about GEN (a bug, an idea, praise) from the user to the GEN team. Call it whenever the user wants to report a problem, complain, suggest something or say thanks. Pass the user's words verbatim in message. The agent, the recent GEN calls of this session and the client are attached autom
• gen_generate ~3414 tokens
  Create media with GEN: generate an image (create_image), a video clip (create_video), an original song (create_song), a DJ-style song mix (create_song_mix), or transcribe audio or video into text (transcribe). One call carries one or more typed actions. Paid generations spend credits and each result
• gen_generate_report_ideas ~1679 tokens
  Compose the weekly We Believe report's source-grounded ideas through the one billed content-ideas generator (the same path gen_content_action generate_ideas uses; this tool never calls a model directly). The caller injects the master playbook text, the measured comments and the verified first-party
• gen_platform_action ~3762 tokens
  Workspace and access admin for an agent: create, rename, or delete an organization (create_organization, update_organization, delete_organization), upgrade its workspace plan (upgrade_workspace), manage its Personal Access Tokens (create_api_key, update_api_key, revoke_api_key, revoke_all_api_keys),
• gen_publish_action Sends messages · ~3828 tokens
  Step 5 (Export & Publish): Ship posts to social platforms — schedule, publish, update, or remove posts. One call carries one or more typed actions: schedule_post_<platform> (media_url and that platform's fields; schedule_type 'now' or 'specific_time' with scheduled_time; a field of another platform
• gen_sign_in_link ~359 tokens
  Create a one-time GEN sign-in link for the caller's own account so its owner can open GEN in a browser. Requires the self-serve account owner's agent PAT. Use it when the user asks to sign in to GEN, open GEN, or get into the agent-created account from this client. For a plan or credit-pack checkout
• gen_task_action ~3839 tokens
  Run the task control plane: create, update, pause, resume, delete, duplicate, and run-now recurring jobs ('daily tasks' — a schedule plus a saved prompt), manage content-monitoring jobs, and approve or reject a gated agent run (decide_agent_run). One call carries one or more typed actions. pause_rec
• gen_upload_asset ~1239 tokens
  Upload a file into an agent's owned asset library without sending the bytes through the MCP call. One tool, three phases. phase=request_upload (default) takes agent_id, filename and content_type and returns upload_id, a same-origin signed PUT URL, a ready-to-run curl command and a browser drop_url;
• gen_vidsheet_action ~16800 tokens
  Vidsheet: skill://gen/vidsheet-mcp/SKILL.md; host-approved resources/read or prompt vidsheet-mcp. Step 4 (Edit & Generate): the Vidsheet write tool for the editable video workspace. A direct saved idea draft/full uses gen_content_action action=create_video_from_idea; a separately authored scene-form
• gen_voice_action ~2066 tokens
  Build a custom voice for an agent: clone one from an audio sample (clone_voice), design one from a scripted prompt flow (generate_voice_script, generate_voice_description, generate_voice_samples, design_voice), audition one with a spoken preview (preview_voice), or remove one you own (delete_voice).
• gen_watchlist_action ~3930 tokens
  Run one or more watchlist operations in a single call: create, update, pause, resume or delete a watchlist, add or remove a monitoring source, or ask a question about a watchlist (query_watchlist starts an agent run and returns a run_id to poll). One call carries one or more typed actions. Deleting

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