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The MCP server acts as a semantic bridge, allowing users to ask questions like 'show me all content types with a rich text field' without needing to understand REST API structure or JSON schema syntax.","intents":["Understand the structure of my content model without reading API documentation","Discover what content types and fields are available in my project","Explore taxonomy terms and workflow states using conversational queries","Audit content model design by asking natural language questions about field types and constraints"],"best_for":["Content architects and editors using AI tools to understand project structure","Non-technical stakeholders exploring content models via Claude or other MCP clients","Teams migrating from other CMS platforms who need quick content model discovery"],"limitations":["Read-only exploration — cannot modify content model structure through natural language","Query complexity limited by LLM's ability to parse nested schema responses","No caching of schema — each query triggers a fresh API call to Kontent.ai"],"requires":["Kontent.ai project with valid Management API credentials","MCP-compatible AI tool (Claude, etc.) with tool-calling support","Network access to Kontent.ai API endpoints"],"input_types":["natural language queries","conversational prompts"],"output_types":["structured JSON schema descriptions","formatted text summaries of content model","lists of content types, elements, and taxonomies"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_1","uri":"capability://tool.use.integration.content.item.creation.and.mutation.via.natural.language","name":"content item creation and mutation via natural language","description":"Translates natural language descriptions of content into structured API calls that create or update content items in Kontent.ai. The MCP server parses user intent (e.g., 'create a blog post about AI with title and body'), maps fields to the appropriate content type schema, validates against content model constraints, and executes the Management API request. Supports field-level validation and error reporting.","intents":["Create new content items by describing them in natural language without touching the Kontent.ai UI","Update existing content by specifying which fields to change and what values to set","Bulk create content items from structured descriptions or templates","Generate content programmatically within an AI agent workflow"],"best_for":["Content creators and editors using AI assistants to draft and publish content","Developers building AI-powered content generation pipelines","Teams automating content creation workflows through MCP agents"],"limitations":["Requires explicit content type specification — cannot auto-detect from description alone","Field validation errors are returned as-is from Kontent.ai API; error messages may be opaque","No support for complex nested content structures (linked items, components) in initial versions","Rate-limited by Kontent.ai Management API quotas"],"requires":["Kontent.ai project with Management API write permissions","Valid API credentials with content creation scope","Content type schema already defined in Kontent.ai project","MCP-compatible AI tool with function-calling capability"],"input_types":["natural language descriptions","structured field-value pairs","template-based prompts"],"output_types":["created content item ID and metadata","validation error messages","content item JSON representation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_2","uri":"capability://tool.use.integration.content.item.retrieval.and.filtering.with.natural.language.queries","name":"content item retrieval and filtering with natural language queries","description":"Translates natural language search and filter requests into Kontent.ai's Content Delivery API queries, supporting filters by content type, taxonomy, status, date ranges, and custom metadata. The MCP server parses intent from queries like 'show me all published blog posts from the last month' and constructs the appropriate API request with proper filter syntax and pagination.","intents":["Find content items matching natural language criteria without learning filter syntax","Retrieve content for analysis, summarization, or further processing by the AI","Build dynamic content lists based on conversational specifications","Audit published content by querying across multiple dimensions (type, status, date, taxonomy)"],"best_for":["Content editors and marketers querying content via AI assistants","AI agents that need to retrieve and process content as part of larger workflows","Teams building content discovery features powered by natural language"],"limitations":["Complex nested filters may not translate perfectly from natural language to API syntax","Pagination requires explicit handling — large result sets need multiple API calls","Full-text search limited by Kontent.ai's built-in search capabilities","No support for custom aggregations or analytics queries"],"requires":["Kontent.ai project with Content Delivery API access","Valid API credentials (read-only sufficient)","Network access to Kontent.ai CDN/API endpoints"],"input_types":["natural language queries","filter specifications","conversational prompts"],"output_types":["JSON array of content items","paginated result sets","metadata about query results (count, total)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_3","uri":"capability://tool.use.integration.content.workflow.state.transitions.via.natural.language.commands","name":"content workflow state transitions via natural language commands","description":"Exposes Kontent.ai's workflow state machine through MCP tools that allow users to transition content items between workflow states (draft, scheduled, published, archived) using natural language commands. The server validates state transitions against the project's workflow configuration and executes the Management API calls to update item status.","intents":["Publish, schedule, or archive content items by describing the desired state in natural language","Automate content lifecycle management within AI agent workflows","Bulk transition content items to new states based on criteria","Query current workflow state of content items"],"best_for":["Content editors managing publishing workflows through AI assistants","Automated content pipelines that need to transition items through approval states","Teams implementing content governance with AI-assisted workflow management"],"limitations":["Workflow configuration must be pre-defined in Kontent.ai — MCP server cannot create custom workflows","State transitions are validated against project workflow rules; invalid transitions are rejected","No support for conditional workflows or approval chains beyond Kontent.ai's native capabilities","Scheduling requires explicit datetime specification — relative dates may be ambiguous"],"requires":["Kontent.ai project with workflow enabled","Management API credentials with workflow state change permissions","Content items must exist and be in a valid state for transition"],"input_types":["natural language state transition commands","content item identifiers","scheduling timestamps"],"output_types":["updated content item metadata","workflow state confirmation","error messages for invalid transitions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_4","uri":"capability://tool.use.integration.mcp.tool.schema.generation.from.kontent.ai.project.metadata","name":"mcp tool schema generation from kontent.ai project metadata","description":"Dynamically generates MCP tool definitions by introspecting the Kontent.ai project's content model, exposing content types, elements, taxonomies, and workflows as callable tools with proper JSON schemas. This enables the MCP server to adapt its capabilities to the specific project structure without hardcoding tool definitions, allowing each project to have a customized set of available operations.","intents":["Automatically expose project-specific content operations as MCP tools","Enable AI tools to discover available content types and fields dynamically","Generate proper JSON schemas for content creation and filtering based on project model","Support multi-project scenarios where each project has different content structures"],"best_for":["MCP server implementations that need to adapt to arbitrary Kontent.ai projects","Teams managing multiple Kontent.ai projects with different content models","Developers building extensible content automation platforms"],"limitations":["Schema generation adds startup latency — projects with large content models may take seconds to initialize","Complex field types (rich text, linked items) may not translate perfectly to JSON schema constraints","Schema changes in Kontent.ai require server restart or cache invalidation to reflect in MCP tools","No support for custom field types beyond Kontent.ai's standard element types"],"requires":["Kontent.ai Management API access to read content model","Valid API credentials with schema read permissions","MCP server implementation that supports dynamic tool registration"],"input_types":["Kontent.ai project metadata","content model schema"],"output_types":["MCP tool definitions in JSON schema format","parameterized tool descriptions","field constraint specifications"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_5","uri":"capability://tool.use.integration.taxonomy.term.management.and.querying","name":"taxonomy term management and querying","description":"Provides MCP tools for exploring and managing taxonomy terms in Kontent.ai, allowing users to query available terms, their hierarchies, and create new terms through natural language. The server translates taxonomy queries into Management API calls and handles term creation with proper hierarchy and metadata assignment.","intents":["Discover available taxonomy terms for categorizing content","Query taxonomy hierarchies to understand content classification structure","Create new taxonomy terms programmatically when needed","Assign taxonomy terms to content items during creation or updates"],"best_for":["Content teams managing complex taxonomies and categorization schemes","AI agents that need to assign metadata and categories to generated content","Teams building content governance systems with taxonomy-based organization"],"limitations":["Taxonomy structure is read-only in some Kontent.ai plans — term creation may not be available","Hierarchical taxonomy queries may return large result sets requiring pagination","No support for taxonomy versioning or historical tracking","Term creation requires explicit parent term specification for hierarchies"],"requires":["Kontent.ai project with taxonomies defined","Management API credentials with taxonomy read (and write if creating terms)","Valid taxonomy group identifiers"],"input_types":["natural language taxonomy queries","taxonomy group identifiers","term names and hierarchy specifications"],"output_types":["taxonomy term lists with hierarchy","term metadata and properties","created term confirmation"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_6","uri":"capability://tool.use.integration.content.asset.management.and.reference.handling","name":"content asset management and reference handling","description":"Provides MCP tools for managing digital assets (images, documents, videos) in Kontent.ai, including uploading assets, querying asset metadata, and linking assets to content items. The server handles asset upload through the Management API, manages asset references, and supports asset filtering by type and metadata.","intents":["Upload images and documents to Kontent.ai from AI workflows","Link assets to content items during creation or updates","Query available assets and their metadata for content enrichment","Manage asset organization and metadata tagging"],"best_for":["Content teams automating asset management workflows","AI agents generating content that requires associated media","Teams building content production pipelines with asset handling"],"limitations":["Asset upload size limits enforced by Kontent.ai API","Asset processing (image optimization, transcoding) handled by Kontent.ai — no local processing","Asset metadata is limited to Kontent.ai's standard fields — no custom asset properties","Asset versioning not supported — updates replace previous versions"],"requires":["Kontent.ai project with asset management enabled","Management API credentials with asset upload permissions","Valid asset folder structure in Kontent.ai"],"input_types":["file paths or URLs for asset upload","asset metadata specifications","asset query filters"],"output_types":["asset IDs and URLs","asset metadata","upload confirmation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_7","uri":"capability://tool.use.integration.multi.language.content.variant.management","name":"multi-language content variant management","description":"Exposes Kontent.ai's language variant system through MCP tools, allowing users to create, update, and query content in multiple languages. The server handles language-specific content variants, manages language fallback chains, and supports querying content by language or locale.","intents":["Create content variants for different languages and locales","Update language-specific content without affecting other language versions","Query content availability across languages","Manage language fallback and inheritance rules"],"best_for":["Global content teams managing multilingual content","AI agents generating content for multiple markets","Teams building localized content platforms"],"limitations":["Language configuration must be pre-defined in Kontent.ai project","Language fallback rules are project-wide — cannot be customized per content item","Translation workflows not supported — variants must be created separately","No built-in translation API integration"],"requires":["Kontent.ai project with multiple languages configured","Management API credentials with language variant permissions","Valid language codes matching project configuration"],"input_types":["language codes or locale identifiers","language-specific content","variant creation specifications"],"output_types":["language variant metadata","multilingual content items","language availability information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-kontent-ai__cap_8","uri":"capability://tool.use.integration.content.preview.and.preview.url.generation","name":"content preview and preview url generation","description":"Provides MCP tools for generating preview URLs and accessing preview content for unpublished or draft items in Kontent.ai. The server constructs preview URLs with proper authentication tokens and supports preview filtering by language, workflow state, and content type.","intents":["Generate shareable preview links for draft content without publishing","Access preview content for validation and review workflows","Create preview URLs for specific language variants","Enable stakeholder review of content before publication"],"best_for":["Content review and approval workflows","Teams sharing draft content with stakeholders","AI agents validating generated content before publication"],"limitations":["Preview URLs require valid API credentials — cannot be shared publicly without authentication","Preview content may differ from published content if caching is involved","Preview URL expiration depends on Kontent.ai configuration","No support for preview-specific rendering or styling"],"requires":["Kontent.ai project with preview API enabled","Management API credentials with preview permissions","Valid content item identifiers"],"input_types":["content item IDs","language codes","workflow state specifications"],"output_types":["preview URLs","preview content JSON","preview metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Kontent.ai project with valid Management API credentials","MCP-compatible AI tool (Claude, etc.) with tool-calling support","Network access to Kontent.ai API endpoints","Kontent.ai project with Management API write permissions","Valid API credentials with content creation scope","Content type schema already defined in Kontent.ai project","MCP-compatible AI tool with function-calling capability","Kontent.ai project with Content Delivery API access","Valid API credentials (read-only sufficient)","Network access to Kontent.ai CDN/API endpoints"],"failure_modes":["Read-only exploration — cannot modify content model structure through natural language","Query complexity limited by LLM's ability to parse nested schema responses","No caching of schema — each query triggers a fresh API call to Kontent.ai","Requires explicit content type specification — cannot auto-detect from description alone","Field validation errors are returned as-is from Kontent.ai API; error messages may be opaque","No support for complex nested content structures (linked items, components) in initial versions","Rate-limited by Kontent.ai Management API quotas","Complex nested filters may not translate perfectly from natural language to API syntax","Pagination requires explicit handling — large result sets need multiple API calls","Full-text search limited by Kontent.ai's built-in search capabilities","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=kontent-ai","compare_url":"https://unfragile.ai/compare?artifact=kontent-ai"}},"signature":"MrjzDM4/c/08QQgns+Eo3Lt0AtgiS+/+ICkpxmcHUJlxzb2ezA4Rl8/Er75MZhDBU748kPS5HKVT7aG/q6RtCA==","signedAt":"2026-06-22T02:48:12.462Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kontent-ai","artifact":"https://unfragile.ai/kontent-ai","verify":"https://unfragile.ai/api/v1/verify?slug=kontent-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}