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Uses LLM-based content understanding to identify presentation hierarchy (title, sections, key points) and generates slide-by-slide content without requiring manual outline creation.","intents":["I want to turn my research notes into a polished presentation without manually structuring slides","Generate a presentation from a topic description or raw content dump","Create a presentation outline automatically from unstructured text input"],"best_for":["teams rapidly prototyping presentations from research or documentation","non-technical users who want AI-assisted presentation creation","developers building presentation automation into larger workflows"],"limitations":["Output quality depends on input clarity — vague or poorly structured input may produce generic slides","No built-in fact-checking or source attribution for generated content","Limited control over granularity of content extraction (may over-simplify or over-elaborate)"],"requires":["MCP client compatible with Model Context Protocol","LLM backend (Claude, GPT, or compatible) with sufficient context window for presentation generation","Input text with clear semantic structure (raw notes work but benefit from organization)"],"input_types":["plain text","markdown","unstructured content","topic descriptions"],"output_types":["presentation structure (JSON/YAML)","slide content with metadata","presentation file (format depends on template engine)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_1","uri":"capability://automation.workflow.multi.template.presentation.rendering","name":"multi-template presentation rendering","description":"Supports multiple presentation template types and themes, mapping generated content to different visual and structural templates (e.g., business, educational, creative). The system abstracts template selection and applies consistent styling, layout rules, and visual hierarchy across slides based on template metadata and theme configuration.","intents":["Generate presentations with different visual styles (corporate vs creative vs academic)","Apply consistent branding or theme across all generated slides","Switch between presentation templates without regenerating content"],"best_for":["organizations with multiple presentation styles or brand guidelines","developers building white-label presentation generation","teams needing rapid template switching for different audiences"],"limitations":["Template library scope unknown — may have limited variety or customization depth","Custom template creation process not documented — likely requires direct code modification","Theme application is uniform across all slides — no per-slide theme override capability documented"],"requires":["MCP server instance with template definitions loaded","Template metadata in supported format (likely JSON/YAML)","Presentation content in structured format compatible with template engine"],"input_types":["template identifier/name","theme configuration","structured slide content"],"output_types":["rendered presentation file","HTML/PDF/PPTX (format depends on template engine)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_2","uri":"capability://tool.use.integration.mcp.based.presentation.tool.integration","name":"mcp-based presentation tool integration","description":"Exposes presentation generation as an MCP server resource, enabling Claude, other LLM agents, and MCP-compatible clients to call presentation generation as a native tool. Uses MCP's resource and tool protocol to define presentation generation endpoints, handle tool invocation, and return presentation artifacts with proper serialization and error handling.","intents":["Integrate presentation generation into a multi-tool AI agent workflow","Call presentation generation from Claude or other MCP-compatible LLMs","Chain presentation generation with other MCP tools (e.g., research, content creation)"],"best_for":["developers building AI agents with multi-tool orchestration","teams using Claude with MCP for complex workflows","organizations integrating presentation generation into larger automation pipelines"],"limitations":["Requires MCP client support — not compatible with REST-only integrations","Tool invocation overhead adds latency compared to direct API calls","MCP protocol version compatibility may limit client support"],"requires":["MCP client implementation (Claude Desktop, custom MCP client, or compatible agent framework)","MCP server running and accessible to client","Model Context Protocol v1.0+ support"],"input_types":["MCP tool invocation with JSON parameters","presentation intent/content as tool arguments"],"output_types":["MCP resource reference","presentation artifact with metadata","file path or URL to generated presentation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_3","uri":"capability://data.processing.analysis.structured.content.extraction.and.slide.mapping","name":"structured content extraction and slide mapping","description":"Parses generated presentation content into structured slide definitions (title, bullet points, speaker notes, visual cues) and maps each content block to appropriate slide layouts. Uses content analysis to determine slide type (title slide, content slide, conclusion, etc.) and applies layout-specific formatting rules, ensuring semantic content maps to visual structure.","intents":["Automatically determine which slide layout fits each piece of content","Extract key points and structure them as bullet hierarchies","Generate speaker notes alongside slide content"],"best_for":["developers building presentation generation with semantic awareness","teams needing structured slide data for downstream processing","systems requiring slide content to be queryable or modifiable post-generation"],"limitations":["Slide type detection relies on heuristics — may misclassify content without clear semantic markers","No built-in support for complex slide layouts (e.g., multi-column, custom grids)","Speaker notes generation quality depends on LLM capability — may be generic or verbose"],"requires":["LLM with content understanding capability","Slide layout definitions with semantic tags","Structured content input (not raw unformatted text)"],"input_types":["presentation content (text, structured data)","slide layout definitions"],"output_types":["slide object array with typed fields","JSON/YAML slide definitions","speaker notes and visual cues"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_4","uri":"capability://automation.workflow.batch.presentation.generation.with.content.variants","name":"batch presentation generation with content variants","description":"Supports generating multiple presentation variants from a single input (e.g., different lengths, audience levels, or emphasis areas) by parameterizing content generation and applying variant-specific rules. Enables reuse of base content with targeted modifications without full regeneration, reducing latency and token usage for multi-variant workflows.","intents":["Generate a short version and a detailed version of the same presentation","Create audience-specific variants (executive summary vs technical deep-dive)","Produce multiple presentation formats from one content source"],"best_for":["organizations creating multiple presentation versions for different stakeholders","developers building presentation generation with variant support","teams needing rapid iteration on presentation length or focus"],"limitations":["Variant generation strategy not documented — unclear if content is regenerated or selectively filtered","No built-in A/B testing or variant comparison tools","Scaling to many variants may incur significant token costs if full regeneration is used"],"requires":["Variant parameters or configuration (length, audience, emphasis)","Base content or intent input","LLM with sufficient context for multi-variant generation"],"input_types":["base presentation content","variant parameters (audience, length, focus)","variant rules or templates"],"output_types":["multiple presentation files","variant metadata with differences highlighted","comparison data between variants"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_5","uri":"capability://automation.workflow.presentation.artifact.persistence.and.export","name":"presentation artifact persistence and export","description":"Manages generated presentation artifacts with support for multiple output formats (PPTX, PDF, HTML) and storage mechanisms. Handles file serialization, format conversion, and artifact lifecycle (creation, retrieval, deletion) through MCP resource protocol, enabling presentations to be stored, retrieved, and shared programmatically.","intents":["Export generated presentations in PowerPoint, PDF, or web-ready formats","Store generated presentations for later retrieval or modification","Share presentation artifacts through MCP resource references"],"best_for":["developers building presentation workflows with artifact management","teams needing to store and version presentations programmatically","systems requiring multi-format export capabilities"],"limitations":["Export format support scope unknown — may not support all common presentation formats","No built-in versioning or presentation history tracking","Storage backend not specified — may require external file system or cloud storage configuration"],"requires":["MCP server with artifact storage configured","File system or cloud storage backend (S3, local disk, etc.)","Format conversion libraries (likely LibreOffice, pandoc, or similar)"],"input_types":["presentation object/structure","export format specification","storage location or path"],"output_types":["PPTX file","PDF file","HTML file","MCP resource reference/URI"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_6","uri":"capability://safety.moderation.presentation.content.validation.and.quality.assurance","name":"presentation content validation and quality assurance","description":"Validates generated presentation content for completeness, coherence, and quality before delivery. Checks for missing slides, incomplete content, logical flow consistency, and applies quality heuristics (e.g., slide length, readability, visual balance). May include automated suggestions for content improvement or flagging of potential issues.","intents":["Ensure generated presentations meet quality standards before delivery","Identify and flag incomplete or low-quality slides","Get suggestions for improving presentation content or structure"],"best_for":["teams requiring quality gates in automated presentation generation","developers building presentation systems with reliability requirements","organizations with content standards or compliance needs"],"limitations":["Validation rules and quality metrics not documented — unclear what constitutes 'quality'","No user-configurable validation thresholds or custom rules","Quality assessment is heuristic-based — may produce false positives or miss real issues"],"requires":["Generated presentation structure/content","Quality validation rules or thresholds","LLM for semantic quality assessment (optional)"],"input_types":["presentation object/structure","validation configuration"],"output_types":["validation report (pass/fail)","quality score or metrics","list of issues or suggestions"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_2slides-mcp-2slides__cap_7","uri":"capability://memory.knowledge.context.aware.slide.generation.with.document.reference","name":"context-aware slide generation with document reference","description":"Generates slide content with awareness of source documents or reference materials, maintaining semantic links between slides and source content. Enables slides to include citations, source references, or direct quotes with proper attribution, and allows retrieval of source context for any generated slide.","intents":["Generate presentations with proper source attribution and citations","Link generated slides back to source documents for verification","Include relevant quotes or data points with source references"],"best_for":["academic or research presentations requiring proper citations","teams generating presentations from multiple source documents","systems requiring traceability between slides and source material"],"limitations":["Source document handling mechanism not documented — unclear how documents are ingested or referenced","Citation format support scope unknown — may not support all citation styles","No built-in plagiarism detection or source verification"],"requires":["Source documents or reference materials","Document indexing or embedding capability","Citation format specification"],"input_types":["source documents (text, PDF, etc.)","presentation intent/topic","citation format preference"],"output_types":["presentation with citations","source reference metadata","attribution links or footnotes"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["MCP client compatible with Model Context Protocol","LLM backend (Claude, GPT, or compatible) with sufficient context window for presentation generation","Input text with clear semantic structure (raw notes work but benefit from organization)","MCP server instance with template definitions loaded","Template metadata in supported format (likely JSON/YAML)","Presentation content in structured format compatible with template engine","MCP client implementation (Claude Desktop, custom MCP client, or compatible agent framework)","MCP server running and accessible to client","Model Context Protocol v1.0+ support","LLM with content understanding capability"],"failure_modes":["Output quality depends on input clarity — vague or poorly structured input may produce generic slides","No built-in fact-checking or source attribution for generated content","Limited control over granularity of content extraction (may over-simplify or over-elaborate)","Template library scope unknown — may have limited variety or customization depth","Custom template creation process not documented — likely requires direct code modification","Theme application is uniform across all slides — no per-slide theme override capability documented","Requires MCP client support — not compatible with REST-only integrations","Tool invocation overhead adds latency compared to direct API calls","MCP protocol version compatibility may limit client support","Slide type detection relies on heuristics — may misclassify content without clear semantic markers","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.061Z","last_scraped_at":"2026-05-03T15:19:15.094Z","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=2slides-mcp-2slides","compare_url":"https://unfragile.ai/compare?artifact=2slides-mcp-2slides"}},"signature":"3/NUCxLwbH2BYqrPXCh1TmBR2GAB8JP5USwGJ1HRKODi+QwPTY0iSxe5g3POm1xgo3dYzLxpmoa9bgc8b8UEBg==","signedAt":"2026-06-20T18:05:12.040Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/2slides-mcp-2slides","artifact":"https://unfragile.ai/2slides-mcp-2slides","verify":"https://unfragile.ai/api/v1/verify?slug=2slides-mcp-2slides","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"}}