Moviepilot Api logo

Moviepilot Api

CommunityPopular
jxxghp
moviepilot-api

Use this skill for MoviePilot product operations such as media search, torrent search, downloads, subscriptions, library checks, sites, storage, workflows, schedulers, plugins, filter rules, and system settings. It authorizes the structured moviepilot_api gateway only; it does not authorize arbitrary HTTP, legacy Agent tools, MCP compatibility commands, authentication headers, or API tokens.

Overview

Publisherjxxghp
RepositoryMoviePilot
Skill namemoviepilot-api
Stars
11.8K
Forks
1.5K
Bundled files
21
LicenseGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jxxghp on GitHub. Read the source before you install it.

Installation

Install the Moviepilot Api AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jxxghp/MoviePilot.git /tmp/MoviePilot
mkdir -p .claude/skills
cp -r /tmp/MoviePilot/skills/moviepilot-api .claude/skills/moviepilot-api
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Moviepilot Api in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Moviepilot Api on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Moviepilot Api is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MoviePilot API

Use moviepilot_api for normal MoviePilot business operations. The tool accepts only operation_id, path_params, query, and body. The host chooses the fixed HTTP method and path, creates the current user's authentication token, applies authorization and confirmation policy, and returns the API response.

This file is intentionally kept as the routing and execution guide. Detailed operation contracts live in the linked category files under api/; load only the one category file needed for the selected operation. Do not load every category file by default.

Never provide a URL, method, authentication header, API key, or access token. Never fall back to a retired tool name or moviepilot tool MCP command. If an operation is not listed in this skill, do not simulate it through arbitrary HTTP; use a more specific skill or explain that the structured operation is unavailable.

Overall Workflow

  1. Select the exact operation_id from the category index below.
  2. Call read_skill again with name="moviepilot-api" and file="api/<category>.md" to load the complete standalone category contract. Do not use read_file for Skill documents.
  3. The selected category file already includes the shared body Models needed to construct its calls; do not load a second Models document.
  4. Build one gateway call with only declared fields. Preserve source-native identifiers and use the documented pagination fields.
  5. Obtain confirmation for confirmation-protected or side-effecting operations, then execute the gateway call once.
  6. Inspect success, execution_outcome, errors, empty results, and collection metadata before reporting or taking a dependent action.
  7. Verify writes with the category's read-back operation when the contract requires it; do not repeat a write whose outcome is unknown.

API Category Index

Each category file contains the complete operation contracts for its namespace. The counts are a maintenance aid for the 220 currently exposed operations.

CategoryDetail fileOperation namespaceCountUse for
Configurationapi/config.mdconfig.*6identifiers, public/user settings, system setting discovery and updates
Dashboardapi/dashboard.mddashboard.*9media, storage, process, system, downloader, CPU, memory, network, and transfer summaries
Databaseapi/database.mddatabase.backups.*4administrator backup lifecycle
Downloadapi/download.mddownload.*7download submission, clients, paths, active tasks, and history
Filterapi/filter.mdfilter.*10built-in/custom rules, groups, and testing
Libraryapi/library.mdlibrary.*2existence and latest-media checks
Mediaapi/media.mdmedia.*23media search/detail, recognition, scraping, schedules, sources, people, seasons, and classification
Musicapi/music.mdmusic.*10recognition, exploration, albums, artists, and cache administration
Pluginapi/plugin.mdplugin.*30plugin market, install/runtime, configuration, source, folders, ratings, releases, and statistics
Recommendationapi/recommendation.mdrecommendation.*1recommendation listings
Schedulerapi/scheduler.mdscheduler.*3scheduler listing, progress, and execution
Searchapi/search.mdsearch.*4title, torrent, result, and recommendation search
Siteapi/site.mdsite.*22site discovery, authentication, cookies, user data, resources, RSS, priorities, and statistics
Slashapi/slash.mdslash.*2slash-command discovery and execution
Storageapi/storage.mdstorage.*6storage settings, browsing, directories, rename, and delete
Subscriptionapi/subscription.mdsubscription.*29subscription CRUD, search/refresh, history, files, sharing, following, and status
Subtitleapi/subtitle.mdsubtitle.search.*2subtitle title and media search
Systemapi/system.mdsystem.*12versions, update, restart, modules, network, and usage
Torrent cacheapi/torrent.mdtorrent.cache.*5torrent-cache inspection, refresh, re-identification, and deletion
Transferapi/transfer.mdtransfer.*15transfer queue/history, file, naming, manual review, retry, and target path
Workflowapi/workflow.mdworkflow.*16workflow definitions, actions, execution, sharing, and lifecycle

Each category file is a standalone contract: it contains the operation details and the shared request/response body Models needed by that category. If an operation is added or moved, update its category file, this index, the frontmatter allowlist, and the matching gateway contract together.

API Surface Scope

This Skill is the complete callable MoviePilot business API surface for the Agent. Every operation in allowed-api-operations has one exact parameter contract in a category file and one matching MCP tools/list branch. There is no hidden fallback to an arbitrary REST route.

MoviePilot's underlying OpenAPI document is larger because it also serves the web UI, authentication, account lifecycle, binary and streaming responses, callbacks, compatibility endpoints, and source-specific presentation routes. Those routes are deliberately not copied into this Skill. A non-listed route must be one of the following before the Agent may use its capability:

  • represented by one stable aggregate operation in this Skill;
  • owned by downloader-operation, mediaserver-operation, or another domain Skill with its own exact action contract;
  • reserved for host transport, identity, UI, streaming, binary, or diagnostic behavior and therefore unavailable as an Agent business action; or
  • explicitly unapproved until a role, effect, confirmation, recovery, result, and English parameter contract is added.

The maintained route-by-route inventory is docs/refactor/agent-api-surface-audit.md. Its generated drift test fails when OpenAPI changes without an explicit ownership decision.

The management recovery route POST /api/v1/history/transfer/{history_id}/discard-corrupt is reserved for direct authenticated management clients and is not a callable Agent operation. It clears corrupt task state while retaining the history record.

Calling Contract

Call the gateway with this shape:

json
{
  "operation_id": "media.search",
  "path_params": {},
  "query": {"title": "The Wandering Earth", "type": "media"},
  "body": {}
}

Common read and download contracts

Select the operation for the task first, then send only fields declared by that operation. Common verification contracts are:

operation_idpath_paramsquery
subscription.findmedia_idmedia_source; optional season, music_type
subscription.listnoneoptional page, count
download.tasks.activenoneoptional page, count, name
site.listnoneoptional page, count, name, status=all|active|inactive

The download.add body must contain torrent_in (at least title and enclosure) plus sibling media_source and media_id; do not put a magnet URI in url, or move media identity and filters into query. When a write returns unknown, never retry it; verify the actual state with a supported read operation first.

  • Put route placeholders such as subscribe_id, hashString, plugin_id, workflow_id, media_id, storage, rule_id, and name in path_params.
  • Put GET filters and control values in query. The gateway also accepts GET values in body, but use query consistently except for the protected secret flow below.
  • Put POST, PUT, and PATCH request models in body.
  • Preserve the exact source-native media_source + media_id returned by a search or detail response. For music, also preserve music_type=recording|album|artist; an artist is browse-only.
  • Treat success=false, HTTP error data, empty results, and validation errors as real outcomes. Do not claim success without checking the response.
  • Respect an explicit execution_outcome: pending is accepted but unfinished, while unknown means a write may have happened. Do not repeat an unknown write or change defaults merely to evade duplicate protection. In the built-in Agent, use get_tool_execution with the returned invocation ID; the host can reconcile supported non-sensitive setting replacements through a read-only check.
  • When a built-in Agent preview contains result_id and next_offset, use read_tool_result for the next page instead of repeating the operation. These receipt and result tools are internal to the Agent, not external MCP tools.

Collection Counts And Pagination

  • For list inspection, explicitly send the operation's documented pagination fields instead of requesting an unbounded legacy result. For optional legacy pagination, start with query={"page":1,"count":20}.
  • For a count or summary request when the operation documents an exact total, send query={"page":1,"count":1} and read collection.total_count. This is the authoritative count after the endpoint's authorization scope and filters.
  • A large item list or tool_result_truncated=true does not make the total unavailable. The gateway places collection before data, so its exact metadata remains visible in the bounded preview. Never query the MoviePilot database merely to recover a total already declared by the API contract.
  • Use database-operation only for administrator diagnostics or aggregations that the business API cannot express. Do not use it as a fallback for an API list count. If an operation explicitly omits collection.total_count, do not infer a total from one page; continue its native pagination or state that the upstream total is unavailable.

Cross-Skill Routing

Use downloader-operation for downloader instances, task inspection, and native task control. Use mediaserver-operation for libraries, items, playback sessions, scans, refreshes, and other native media-server capabilities.

Operation Order And Failure Handling

  1. Select the operation first, then place each value in its documented bucket. Never move query fields into path_params or send undeclared fields.
  2. Reuse the exact media_source + media_id pair returned by search. For music, also preserve music_type.
  3. Downloads, transfers, configuration/rule/plugin writes, scheduler/workflow runs, and deletions have side effects; obtain confirmation and inspect the result.
  4. success=false, HTTP errors, validation errors, and empty results are real outcomes. Never report them as success.
  5. Use database-operation, downloader-operation, or mediaserver-operation for their native capabilities. Never bypass the gateway with an arbitrary URL.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Moviepilot Api AI skill do?

Use this skill for MoviePilot product operations such as media search, torrent search, downloads, subscriptions, library checks, sites, storage, workflows, schedulers, plugins, filter rules, and system settings. It authorizes the structured moviepilot_api gateway only; it does not authorize arbitrary HTTP, legacy Agent tools, MCP compatibility commands, authentication headers, or API tokens.

Why use Moviepilot Api on TypingMind?

Because you install it once and use it with any model. Moviepilot Api is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Moviepilot Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jxxghp/MoviePilot/tree/v3/skills/moviepilot-api. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Moviepilot Api?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Moviepilot Api?

As many as you like. As long as a model supports skills, you can use Moviepilot Api with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Moviepilot Api AI skill free?

Yes. It is published on GitHub by jxxghp under the GPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇