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  1. Home
  2. Integrations
  3. Glif MCP
Glif MCP

Glif MCP Integration for AI Agents

Glif enables AI agents to create images, videos, and audio using multiple generative AI models through a single creative workspace. Compose multi-step media projects from natural-language prompts, edit existing assets, generate variations, create custom reusable tools, and manage projects and generation jobs.

v1.0.012 toolsOAuth
Open in ChatGPTChatGPT
Open in ClaudeClaude
Playground
VS CodeVS Code
Connected to Glif MCP via MewCP.

Try asking

Encrypted at rest, isolated from the model

Resolved from an AES-256-GCM vault at the moment of the call and attached to the request — the model never sees the secrets.

Try asking

Everything Glif MCP can do

Tools12

get_project

read

Read project state, active job, recent messages, and generated media for a Glif project.

select_project_images

read

Select existing images from an owned Glif project using a thumbnail form. Returns authorized image asset IDs, not a generation job. Selection never spends credits. Unsupported hosts receive an image list instead. A later reviewed compose_project request is separate.

list_projects

read

Browse recent Glif projects owned by the authenticated user without generating media.

list_user_skills

read

Lists the authenticated user's personal Glif skills as names and descriptions. Does not expose global Glif skills. To run one, name it in a `compose_project` prompt rather than fetching and copying its instructions.

get_user_skill

read

Reads one of the authenticated user's personal Glif skills, including its instructions. Does not expose global Glif skills. To run a skill, name it in a `compose_project` prompt, e.g. "use my `alien-vistas` skill". Activation loads the instructions automatically, so copying them into the prompt is redundant.

view_media

read

Render existing Glif media in the interactive project viewer when the user asks to see, revisit, or pull up media that was already generated (e.g. "show me that capybara again", "open my last image"). It applies to completed or saved output, not to `working` polls, and generates nothing (`compose_project` does that). Don't call it right after a job finishes: the `compose_project` card already shows that media. Pass `project_id` to show a project's media, optionally narrowed to specific `asset_ids`. Clients that render media inline show it in the viewer panel, making pasted URLs redundant there; in clients that don't (e.g. CLI hosts), sharing the URLs is how the user gets the media (a sandboxed agent may need its CSP / allowed-domains settings adjusted to load them).

compose_project

write

Create or continue a durable Glif project from natural language. Glif's server-side agent chooses models, tools, and multi-step media workflows. Optional `intelligence` picks the agent: lite, smart, or genius. Without a tier, new projects use your preferred model and existing ones keep theirs. Use `asset_ids` to reuse owned image, video or audio assets from media results or uploads; use `attachments` for external URLs or signed upload URLs. A request that iterates on, refines, animates, or otherwise references anything Glif previously made in this conversation needs the `project_id` from that earlier result — omitting it starts a blank project with no memory of prior media, so omitting `project_id` suits genuinely new, unrelated work. Glif handles batches itself: a series (multiple characters, scenes, variations) works best as one call describing the whole series, kept in one project. Returns immediately with a `jobId`. Generation often finishes within a minute but can take longer. Share the project link. Follow `get_job_status` until completion and report the result or failure. Saved public text and media are available while working. Media URLs work as plain links; Markdown image embeds of them show as broken placeholders in some hosts. Pass each returned `progressCursor` unchanged as `progress_cursor` on the next poll. End early only if the user explicitly requested background work. If polling cannot continue, say so and share the project link; do not promise an automatic chat update. `get_job_status` waits up to 15 seconds by default; `wait_seconds: 0` returns at once. Results include media URLs and `structuredContent`. Never automatically start another paid job: each `compose_project` call costs credits.

get_job_status

read

Check a Glif project job started by `compose_project`, using its `job_id`. Wait up to 15 seconds for new saved public text, generated media or a status change. Pass the previous `progressCursor` as `progress_cursor` to wait for a change instead of receiving the same output immediately. Without a cursor, already available text or media returns promptly. The optional `wait_seconds` value (0 to 30) overrides the wait; 0 returns at once. Working responses include saved public messages and media links, not token streaming. When nothing changed since the passed `progress_cursor`, the text says so and repeats no output. Finished responses return the full result. Keep checking while working, then report the completed result or failure. For input_required, ask for the required input instead. End early only for an explicit background request. Do not assume this chat will receive automatic updates. Job status records expire ~30 minutes after the job finishes. Saved results remain available through `get_project` when a client cannot keep polling. Do not call `compose_project` again while this job is working. The same project refuses it, and a new project starts a separate billable job that does not speed up this one.

whoami

read

Return the authenticated identity, the credential label (API key name or connected OAuth app name), current subscription/plan, available credit balance, credits spent over the last 24h / 7d / 30d, the typical credit cost of one image, video or audio output, and the agent tier `compose_project` uses when no `intelligence` is given. Cheap — no agent loop, no generation.

read_settings

read

Default intelligence for new projects when no intelligence is supplied. This is your existing Glif account preference, shared with the Glif website. Existing projects keep their chosen model unless explicitly changed. Changing this setting does not start generation or spend credits.

update_settings

write

Update only submitted settings. Default intelligence for new projects when no intelligence is supplied. This is your existing Glif account preference, shared with the Glif website. Existing projects keep their chosen model unless explicitly changed. Changing this setting does not start generation or spend credits.

upload_file

write

Upload an image, video, or audio file for `compose_project`. Inline uploads return an `assetId` for `compose_project.asset_ids`; signed uploads return a file URL for `compose_project.attachments`. Documents use the signed local-file mode. Supported inputs: - `file` accepts an image, video, or audio attachment resolved by the host app. Supported hosts, including ChatGPT, can populate this field with a short-lived download URL. - `url` accepts a public image, video, or audio URL. Remote documents are not yet supported. - `filename` and/or `kind`, without `url` or `base64`, returns a signed curl PUT command as `command` in the result, with a `<YOUR_FILE_PATH>` placeholder, and an upfront stable file URL for a local file, including a document. This mode needs local shell and network access; Glif verifies the uploaded bytes and creates the owned asset server-side. - `base64` with `filename` accepts a small local image, video, or audio file when no shell is available. Glif rejects decoded files above 1 MiB, and host tool-call limits may be lower.

Connect Glif MCP to your agent

One endpoint, the same key, whichever client you use.

Apps

SDKs

Claude Desktop

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (Mac) · %APPDATA%\Claude\claude_desktop_config.json (Windows)

JSON
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer API_KEY"
      }
    }
  }
}

Replace API_KEY with your own key.

Already have an "mcpServers" section in your config? Just add the server entry inside it.

  1. 01Open Claude Desktop → Settings → Developer → "Edit Config"
  2. 02Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
  3. 03Save the file, then quit Claude Desktop completely and reopen it
  4. 04Start a new conversation — your tool will be available

One endpoint. Every service.

VS CodeAny agent
One Gateway

YouTube

OAuth

Google Business

OAuth

Hunter.io

OAuth

Glif MCP

OAuth
VS CodeAny agent
One Gateway

Discovery, routing, credentials, tool scoping and execution logs all happen at the gateway→connections stay ACTIVE with no work from you

Built for AI agents

Glif MCP runs through a gateway that holds the credentials, scopes the access and records every call.

Managed authentication

  • OAuth to Glif MCP handled end to end, with tokens refreshed before they expire.
  • One credential per end user, not one shared key across your users.
  • Reconnect an account without touching your agent's config.

Credentials stay out of context

  • Glif MCP credentials are resolved at the gateway and attached to the outbound call.

Ideas to start with

See all use cases
Routine

Your Daily Gmail and Calendar Brief

One prompt pulls today's meetings, urgent unread email, PRs waiting on you, and overdue tasks into a single screen.

Google CalendarGmailGitHub

Ready to connect Glif MCP?

Managed auth, hosted MCP servers, and every Glif MCP tool your agent needs.

Free to start.

  • The agent sees tool results, never a token.
  • Revoke an account and the next call stops working — no redeploy.
  • Scoped access, fully logged

    • Choose exactly which Glif MCP tools an agent is allowed to call.
    • Every call is logged with its outcome, latency and which account it ran as.
    • Catalog changes are reviewed before they ship, so tool descriptions cannot shift under you.

    One endpoint for every server

    • Reach Glif MCP through the same MCP endpoint as the rest of your toolset.
    • Tools are discovered on demand, so 12 tools do not fill the context window.
    • Stateless: no sessions to keep alive and no reconnect logic.
    Notion
    Slack
    Read
    Metrics

    Launch Recap with PostHog and Mixpanel

    Pull adoption from PostHog and retention from Mixpanel for the launch cohort, then post a short recap to your product channel.

    PostHogMixpanelSlack
    Read
    CRM

    Set Up Your Attio Pipeline

    Stand up a staged Attio pipeline with custom attributes and bulk load 200 seed contacts in a single run.

    Attio
    Read