{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-slidespeak","slug":"slidespeak","name":"SlideSpeak","type":"mcp","url":"https://github.com/SlideSpeak/slidespeak-mcp","page_url":"https://unfragile.ai/slidespeak","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-slidespeak__cap_0","uri":"capability://tool.use.integration.mcp.based.presentation.generation.from.natural.language.prompts","name":"mcp-based presentation generation from natural language prompts","description":"Converts natural language descriptions into structured presentation definitions through an MCP (Model Context Protocol) server that translates user intent into slide schemas. The system parses free-form text input describing presentation content, structure, and styling, then generates PowerPoint-compatible output by mapping semantic intent to presentation primitives (slides, layouts, text blocks, formatting). Uses MCP's standardized tool interface to expose presentation generation as a callable resource that LLM agents can invoke with structured parameters.","intents":["I want to generate a multi-slide presentation from a text outline without manually creating each slide","I need to automate presentation creation as part of an AI agent workflow","I want to describe what I want in a presentation and have it built programmatically"],"best_for":["AI agent developers building autonomous presentation workflows","teams automating report generation and business intelligence dashboards","developers integrating presentation generation into larger MCP-based systems"],"limitations":["Limited to MCP-compatible LLM clients — requires Claude or other MCP-supporting models","No real-time preview or interactive editing — output is generated in batch","Styling customization constrained by PowerPoint schema limitations and predefined templates","No built-in support for complex animations, transitions, or advanced visual effects"],"requires":["MCP client supporting tool calling (Claude 3.5+, or compatible LLM)","Python 3.8+ runtime for MCP server","python-pptx library for PowerPoint generation","Network connectivity to MCP server endpoint"],"input_types":["natural language text (presentation outline, bullet points, narrative description)","structured JSON with slide definitions and metadata"],"output_types":["PowerPoint file (.pptx)","presentation metadata (JSON structure describing slides, layouts, content)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_1","uri":"capability://text.generation.language.slide.content.templating.with.semantic.layout.mapping","name":"slide content templating with semantic layout mapping","description":"Maps natural language descriptions of slide content to predefined PowerPoint slide layouts and content placeholders through semantic understanding of intent. The system infers appropriate layout types (title slide, bullet list, two-column, image+text, etc.) from content description, then populates placeholders with generated or provided text. Uses python-pptx's shape and text frame APIs to position content within layout constraints, handling text wrapping, font sizing, and placeholder alignment automatically based on layout schema.","intents":["I want to describe slide content in plain English and have it automatically formatted with appropriate layouts","I need consistent styling across all slides without manually configuring each one","I want the system to choose the best layout for my content type automatically"],"best_for":["non-technical users who want to generate presentations via natural language","developers building content generation pipelines that need automatic layout selection","teams standardizing presentation templates across an organization"],"limitations":["Layout selection is heuristic-based — may not match user intent for ambiguous content descriptions","Custom layouts beyond predefined templates require manual python-pptx configuration","Text overflow handling defaults to shrinking font size rather than intelligent content truncation","No support for dynamic content updates — regeneration requires full slide recreation"],"requires":["python-pptx 0.6.21+","Predefined slide layout templates in PowerPoint master slide format","LLM with semantic understanding of layout types and content structure"],"input_types":["natural language slide description (e.g., 'Title slide with company logo and tagline')","structured content object with title, body, and metadata fields"],"output_types":["PowerPoint slide with formatted content in selected layout","layout selection metadata (which template was chosen and why)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_2","uri":"capability://automation.workflow.multi.slide.presentation.orchestration.with.content.sequencing","name":"multi-slide presentation orchestration with content sequencing","description":"Manages the creation of multi-slide presentations by decomposing a high-level presentation goal into individual slide definitions, sequencing them logically, and orchestrating their generation into a cohesive PowerPoint document. The system handles slide ordering, cross-slide consistency (fonts, colors, branding), and logical flow between slides. Uses python-pptx's Presentation object model to manage slide collections, apply master slide formatting, and ensure consistent styling across the entire deck through centralized theme and layout management.","intents":["I want to generate a complete 10-20 slide presentation from a single description","I need to ensure all slides follow consistent branding and styling rules","I want slides to flow logically with proper sequencing and transitions"],"best_for":["organizations automating report and proposal generation","AI agents building multi-step presentations as part of larger workflows","teams generating standardized presentations with consistent branding"],"limitations":["Slide ordering is determined by LLM reasoning — no explicit user control over sequence without regeneration","Cross-slide consistency relies on master slide templates — custom per-slide styling requires manual intervention","No built-in support for slide dependencies or conditional content","Large presentations (50+ slides) may exceed token limits in LLM context windows"],"requires":["python-pptx 0.6.21+","Master slide template with consistent theme, fonts, and color palette","LLM with sufficient context window to reason about multi-slide structure (Claude 3.5+ recommended)"],"input_types":["high-level presentation outline or narrative description","structured presentation schema with slide count and content topics"],"output_types":["Complete PowerPoint file (.pptx) with multiple slides","presentation structure metadata (slide order, content summary per slide)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_3","uri":"capability://text.generation.language.llm.driven.content.generation.with.structured.prompting","name":"llm-driven content generation with structured prompting","description":"Generates presentation content (titles, bullet points, speaker notes, descriptions) by prompting an LLM with structured instructions that specify content requirements, tone, length, and format. The system constructs detailed prompts that guide the LLM to produce content suitable for specific slide types and audience contexts. Uses prompt engineering patterns to ensure consistent output format (e.g., bullet lists with 3-5 items, title length under 10 words) and semantic coherence across generated content. Integrates with MCP's tool interface to expose content generation as a callable capability that agents can invoke with parameterized prompts.","intents":["I want to generate slide content automatically without writing it manually","I need content tailored to specific audiences, tones, or expertise levels","I want to ensure generated content follows consistent formatting and length constraints"],"best_for":["developers building content generation pipelines for automated reporting","teams generating multiple presentation variants for different audiences","AI agents that need to produce presentation content as part of larger workflows"],"limitations":["Content quality depends on prompt engineering — poorly specified requirements produce inconsistent output","No fact-checking or validation — generated content may contain inaccuracies or hallucinations","LLM rate limits and token costs scale with presentation size","Tone and style consistency across slides depends on prompt consistency, not enforced by system"],"requires":["API access to LLM (Claude, GPT-4, or compatible model via MCP)","Structured prompt templates for different slide types","Sufficient API quota and rate limits for batch content generation"],"input_types":["slide type specification (title, bullet list, conclusion, etc.)","content requirements (topic, audience, tone, length constraints)","context or reference material for content grounding"],"output_types":["generated text content (titles, bullet points, speaker notes)","structured content object with metadata (word count, readability score)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_4","uri":"capability://automation.workflow.powerpoint.file.generation.and.export.with.format.compatibility","name":"powerpoint file generation and export with format compatibility","description":"Generates valid PowerPoint (.pptx) files that are compatible with Microsoft Office, Google Slides, and other presentation software by using python-pptx library to construct Office Open XML (OOXML) structures. The system builds presentation objects with proper XML serialization, handles embedded resources (fonts, images, color schemes), and ensures compliance with PowerPoint format specifications. Manages file I/O, temporary file handling, and output path configuration to reliably produce downloadable or storable presentation files.","intents":["I want to export generated presentations as standard PowerPoint files that work in Office","I need presentations to be compatible with Google Slides and other presentation tools","I want to save presentations to disk or return them as downloadable files"],"best_for":["developers building presentation generation APIs that need standard file output","organizations requiring PowerPoint compatibility for downstream workflows","teams integrating presentation generation into document management systems"],"limitations":["Limited to OOXML format — no support for ODP (OpenDocument) or other formats","Complex animations and transitions may not serialize correctly to PowerPoint format","Embedded media (video, audio) support is limited compared to native PowerPoint editing","File size can grow significantly with embedded images or complex formatting"],"requires":["python-pptx 0.6.21+","Write access to filesystem or cloud storage for file output","PowerPoint 2007+ or compatible software to open generated files"],"input_types":["python-pptx Presentation object with slides, shapes, and content","file path or output stream specification"],"output_types":["PowerPoint file (.pptx) in OOXML format","file metadata (file size, slide count, creation timestamp)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_5","uri":"capability://tool.use.integration.agent.compatible.tool.interface.via.mcp.schema.definition","name":"agent-compatible tool interface via mcp schema definition","description":"Exposes presentation generation capabilities as MCP tools with standardized schema definitions that enable AI agents to discover, understand, and invoke presentation generation functions. The system defines tool schemas specifying input parameters (presentation topic, slide count, audience, style), output format, and tool descriptions in MCP's standardized format. Agents can parse these schemas to understand what parameters are required, what types are expected, and what the tool produces, enabling autonomous tool selection and invocation without hardcoded integrations.","intents":["I want my AI agent to be able to generate presentations autonomously as part of a workflow","I need agents to discover and use presentation generation without custom code","I want to compose presentation generation with other MCP tools in agent chains"],"best_for":["AI agent developers building multi-tool workflows with Claude or compatible models","teams building autonomous systems that need presentation generation capabilities","developers integrating SlideSpeak into larger MCP-based tool ecosystems"],"limitations":["Requires MCP-compatible LLM client — not usable with standard REST API clients","Tool schema must be manually maintained in sync with implementation changes","Agent reasoning about when to use presentation generation depends on LLM capabilities","No built-in error recovery — agents must handle tool failures through retry logic"],"requires":["MCP client supporting tool calling (Claude 3.5+, or compatible LLM)","MCP server implementation with proper tool schema registration","JSON schema validation for tool parameters"],"input_types":["MCP tool invocation with structured parameters","tool schema definition in MCP format"],"output_types":["tool execution result with presentation file or metadata","error messages with diagnostic information"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-slidespeak__cap_6","uri":"capability://automation.workflow.presentation.style.and.branding.customization.through.templates","name":"presentation style and branding customization through templates","description":"Applies consistent visual styling and branding to presentations through PowerPoint master slide templates that define color schemes, fonts, logos, and layout standards. The system loads predefined master slides from template files, applies them to generated presentations, and ensures all slides inherit the master formatting. Uses python-pptx's theme and layout APIs to apply master slide styling, manage color palettes, and enforce font consistency across the entire presentation without requiring per-slide styling configuration.","intents":["I want all generated presentations to follow my organization's branding guidelines","I need consistent fonts, colors, and logos across all slides automatically","I want to create presentation templates that enforce styling standards"],"best_for":["organizations standardizing presentation appearance across teams","developers building white-label presentation generation services","teams automating report generation with consistent branding"],"limitations":["Template customization requires manual PowerPoint editing — no programmatic template builder","Master slide changes don't automatically update existing presentations — requires regeneration","Limited support for dynamic styling based on content or context","Template inheritance can be overridden by slide-level formatting, causing inconsistencies"],"requires":["PowerPoint template file (.potx) with master slides defined","python-pptx 0.6.21+","Understanding of PowerPoint master slide structure and layout definitions"],"input_types":["PowerPoint template file with master slides and color schemes","template configuration specifying which master slide to use for each slide type"],"output_types":["presentation with applied master slide styling","styling metadata (fonts used, color palette, logo placement)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["MCP client supporting tool calling (Claude 3.5+, or compatible LLM)","Python 3.8+ runtime for MCP server","python-pptx library for PowerPoint generation","Network connectivity to MCP server endpoint","python-pptx 0.6.21+","Predefined slide layout templates in PowerPoint master slide format","LLM with semantic understanding of layout types and content structure","Master slide template with consistent theme, fonts, and color palette","LLM with sufficient context window to reason about multi-slide structure (Claude 3.5+ recommended)","API access to LLM (Claude, GPT-4, or compatible model via MCP)"],"failure_modes":["Limited to MCP-compatible LLM clients — requires Claude or other MCP-supporting models","No real-time preview or interactive editing — output is generated in batch","Styling customization constrained by PowerPoint schema limitations and predefined templates","No built-in support for complex animations, transitions, or advanced visual effects","Layout selection is heuristic-based — may not match user intent for ambiguous content descriptions","Custom layouts beyond predefined templates require manual python-pptx configuration","Text overflow handling defaults to shrinking font size rather than intelligent content truncation","No support for dynamic content updates — regeneration requires full slide recreation","Slide ordering is determined by LLM reasoning — no explicit user control over sequence without regeneration","Cross-slide consistency relies on master slide templates — custom per-slide styling requires manual intervention","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"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":"2026-06-17T09:51:04.049Z","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=slidespeak","compare_url":"https://unfragile.ai/compare?artifact=slidespeak"}},"signature":"g+JZszKgWXo0463y6XWn3H9eSjLXvPBJusJExJHMREAMKdn8TPC1W7v5lsKdP8cPDUMJPVvN2l72wPZDfViCDA==","signedAt":"2026-06-21T07:45:00.778Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/slidespeak","artifact":"https://unfragile.ai/slidespeak","verify":"https://unfragile.ai/api/v1/verify?slug=slidespeak","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"}}