AniList
MCP ServerFree** - AniList MCP server for accessing AniList API data
Capabilities10 decomposed
mcp-based anilist api bridging with tool registration
Medium confidenceImplements the Model Context Protocol (MCP) as a middleware layer between client applications (like Claude Desktop) and the AniList GraphQL API. The server uses a tool registration framework that organizes 40+ tools into nine categories (Search, Media, User, People, Lists, Activity, Thread, Recommendation, Misc), with each tool mapping to specific AniList API endpoints. Client requests flow through StdioServerTransport for message handling, then dispatch to appropriate tool handlers that construct and execute GraphQL queries against AniList's backend.
Implements MCP as a standardized protocol bridge specifically for AniList, organizing 40+ tools into a hierarchical category system (Search, Media, User, People, Lists, Activity, Thread, Recommendation, Misc) with optional token-based authentication support, enabling AI assistants to access anime/manga data without learning AniList's GraphQL schema.
Provides MCP-native integration with AniList (vs. REST wrappers or direct API calls), enabling seamless use in Claude Desktop and other MCP clients while abstracting GraphQL complexity behind a tool-based interface.
anime and manga search with multi-field filtering
Medium confidenceExposes search_anime and search_manga tools that query AniList's GraphQL API with support for filtering by title, genre, status, season, year, and other metadata fields. The tools accept search parameters and return paginated results with media details (title, description, ratings, genres, studios). Implements pagination through offset/limit parameters to handle large result sets efficiently.
Wraps AniList's GraphQL search API through MCP tools with multi-field filtering (title, genre, status, season, year, sort order) and pagination support, allowing AI assistants to perform complex media discovery queries without exposing GraphQL syntax.
Provides structured, filterable search via MCP (vs. unstructured web search or manual API calls), enabling AI assistants to reliably find anime/manga matching specific criteria with consistent, machine-readable results.
detailed media information retrieval with related content
Medium confidenceImplements get_anime and get_manga tools that fetch comprehensive media details from AniList by ID or title, returning structured data including synopsis, genres, studios, staff, characters, relations (sequels/prequels), recommendations, and user statistics. Uses AniList's GraphQL API to construct queries that retrieve nested relationship data in a single request, avoiding N+1 query problems.
Fetches comprehensive media details including nested relationships (characters, staff, sequels, recommendations) in a single GraphQL query, avoiding N+1 problems and providing AI assistants with rich context for recommendations or detailed summaries.
Returns structured, relationship-aware media data via MCP (vs. flat REST endpoints or web scraping), enabling AI assistants to understand media context and generate informed recommendations based on related content.
user profile and list management with authentication
Medium confidenceProvides get_user_profile, get_user_anime_list, get_user_manga_list, and update_list_entry tools that interact with user-specific AniList data. Authentication is handled via optional ANILIST_TOKEN environment variable; authenticated operations allow users to view private lists and update their own entries (scores, status, progress). Unauthenticated requests return public profile data only. List queries support filtering by status (CURRENT, COMPLETED, PAUSED, DROPPED, PLANNING) and sorting.
Implements optional token-based authentication via environment variable (ANILIST_TOKEN) to support both public profile reads and authenticated list mutations, allowing AI assistants to update user lists while maintaining security through server-side token storage rather than client-side credential handling.
Provides MCP-native user list management with built-in authentication (vs. requiring users to manage tokens in client code), enabling secure, personalized list updates through AI assistants without exposing credentials.
character and staff information retrieval
Medium confidenceExposes get_character and get_staff tools that fetch detailed information about anime/manga characters and production staff from AniList. Returns structured data including character descriptions, voice actors, media appearances, and staff roles (director, composer, writer, etc.). Queries use AniList's GraphQL API to retrieve nested relationships (e.g., voice actors for a character, works by a staff member) in a single request.
Retrieves character and staff data with nested relationships (voice actors, media appearances, production roles) through a single GraphQL query, providing AI assistants with comprehensive context about people in the anime/manga industry without multiple round-trips.
Provides structured character/staff lookup via MCP (vs. web scraping or unstructured search), enabling AI assistants to reliably retrieve production credits and voice actor information with consistent, machine-readable results.
media recommendations with personalization context
Medium confidenceImplements get_recommendation and get_recommendations_for_media tools that retrieve AniList's recommendation engine results. The tools query recommendations based on media ID or user preferences, returning ranked suggestions with reasoning (e.g., 'similar genres', 'same studio'). Uses AniList's GraphQL API to fetch recommendation metadata including recommendation count and user ratings of recommendations.
Wraps AniList's recommendation algorithm through MCP tools, providing ranked suggestions with reasoning metadata (recommendation count, user ratings) that allow AI assistants to explain recommendations and prioritize high-confidence suggestions.
Provides algorithm-driven recommendations via MCP (vs. simple similarity matching or random suggestions), enabling AI assistants to leverage AniList's community-validated recommendation engine for higher-quality suggestions.
user activity tracking and posting
Medium confidenceExposes get_activity and post_text_activity tools that retrieve user activities (watch/read updates, list changes) and allow authenticated users to post text-based activities. Activities are fetched from AniList's activity feed, showing what users have recently watched, rated, or commented on. Posting requires ANILIST_TOKEN authentication and creates new activity entries visible to the user's followers.
Implements activity posting through MCP with token-based authentication, allowing AI assistants to create user activities (watch updates, text posts) that are visible to followers, while maintaining security through server-side token storage.
Provides MCP-native activity management with built-in authentication (vs. requiring users to manage tokens), enabling AI assistants to post updates on behalf of users without exposing credentials.
forum thread and comment retrieval
Medium confidenceExposes get_thread and get_thread_comments tools that fetch AniList forum threads and their associated comments. Threads are retrieved by ID and return metadata (title, body, author, creation date, reply count). Comments are paginated and include user information, timestamps, and nested reply structure. Uses AniList's GraphQL API to fetch thread data with optional comment pagination.
Retrieves forum threads and comments from AniList's community discussion platform through MCP, providing AI assistants with access to user opinions and discussions about media without exposing raw forum data structures.
Provides structured forum data via MCP (vs. web scraping or unstructured search), enabling AI assistants to reliably retrieve community discussions with consistent, machine-readable results.
user list management with status and sorting
Medium confidenceImplements update_list_entry tool that modifies user anime/manga list entries with support for updating score, progress (episodes/chapters watched), and status (CURRENT, COMPLETED, PAUSED, DROPPED, PLANNING). Requires ANILIST_TOKEN authentication. The tool constructs GraphQL mutations to update individual list entries, with validation of input parameters before submission to AniList API.
Provides MCP-native list entry mutations with token-based authentication, allowing AI assistants to update user watch/read progress and ratings while maintaining security through server-side token storage and input validation before GraphQL submission.
Enables authenticated list updates via MCP (vs. requiring users to manage tokens or use web UI), allowing AI assistants to track viewing progress and update ratings on behalf of users without exposing credentials.
genre and studio metadata retrieval
Medium confidenceExposes get_genres and get_studio tools that retrieve metadata about anime/manga genres and production studios. get_genres returns a list of all available genres on AniList with optional filtering. get_studio fetches detailed studio information including their produced media, founding year, and country. Uses AniList's GraphQL API to query static metadata and studio-specific media catalogs.
Provides static genre metadata and studio information through MCP tools, enabling AI assistants to reference available genres and studio catalogs for filtering and categorization without exposing raw GraphQL queries.
Exposes genre and studio metadata via MCP (vs. hardcoding or web scraping), allowing AI assistants to dynamically reference available genres and studio information for accurate filtering and recommendations.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with AniList, ranked by overlap. Discovered automatically through the match graph.
AniList MCP Server
Access and interact with anime and manga data seamlessly. Retrieve detailed information about your favorite shows, characters, and user profiles with ease. Enhance your LLM applications with rich anime and manga content from AniList.
カーリル for AI / CALIL Library MCP
「カーリル for AI」は、AIから利用できる図書館サービスという新しい体験を提供するための総合的な取り組みです。今回提供を開始する「カーリル図書館MCP」は、Model Context Protocolを採用した図書館蔵書検索サービスです。 カーリルは全国7,400以上の図書館に対応しており、図書館の蔵書検索とAIを統合します。 --- "CALIL for AI" is a comprehensive initiative designed to offer a new experience: library services accessible directly by AI.
Anime & Manga Library
Discover anime and manga titles through keyword searches to find your next favorite series. Access detailed character biographies and browse seasonal airings to stay updated on the latest releases. Explore cultural terms and tropes to deepen your understanding of Japanese media.
@acwink/movies-search-mcp
Smart MCP tool to find and validate movie/tv-show resources with multiple sources support
Manga TV
AI-powered platform revolutionizing manga discovery and reading...
AiMCP
** - A collection of MCP clients&servers to find the right mcp tools by **[Hekmon](https://github.com/hekmon8)**
Best For
- ✓AI assistant developers building anime/manga-aware chatbots
- ✓Teams integrating AniList data into Claude Desktop or other MCP-compatible clients
- ✓Developers building automation workflows that need anime/manga metadata
- ✓Chatbot developers building anime recommendation features
- ✓Users querying AniList through AI assistants for discovery
- ✓Automation workflows that need to find media matching specific criteria
- ✓Chatbot developers building detailed media info cards or summaries
- ✓Recommendation engines that need to traverse media relationships
Known Limitations
- ⚠Requires MCP-compatible client application; cannot be used as standalone REST API
- ⚠Tool execution latency depends on AniList API response times (typically 200-500ms per query)
- ⚠No built-in caching layer — repeated queries hit AniList API directly each time
- ⚠Limited to AniList's public GraphQL schema; cannot extend with custom queries without modifying server code
- ⚠Search results are limited to AniList's indexing; obscure or very recent titles may not appear
- ⚠Pagination requires manual offset management; no cursor-based pagination support
Requirements
Input / Output
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** - AniList MCP server for accessing AniList API data
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