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"model" }, { "id": "openai/gpt-4o-mini-realtime-preview", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.1-chat-latest", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/o4-mini", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-realtime-2025-08-28", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/text-embedding-3-small", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.5-pro-2026-04-23", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/omni-moderation-latest", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-audio-mini-2025-12-15", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/standard/1536-x-1024/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/sora-2", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/text-embedding-ada-002-v2", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-search-preview", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/dall-e-2", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/medium/1024-x-1536/gpt-image-1-mini", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5-pro", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.4-mini", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/o3-deep-research-2025-06-26", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/standard/1024-x-1536/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/whisper-1", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.2-pro-2025-12-11", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-tts-2025-12-15", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/tts-1-1106", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/ft:davinci-002", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-search-preview", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5-2025-08-07", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-realtime-2", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-2024-07-18", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/medium/1024-x-1024/gpt-image-1", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/standard/1024-x-1024/dall-e-3", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/tts-1", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/medium/1024-x-1536/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/high/1024-x-1536/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/medium/1024-x-1024/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/chatgpt-4o-latest", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-image-1-mini", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-3.5-turbo-instruct-0914", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/hd/1792-x-1024/dall-e-3", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-realtime-preview-2024-12-17", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/babbage-002", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/codex-mini-latest", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4.1-nano", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4.1-mini-2025-04-14", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.2-2025-12-11", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5-pro-2025-10-06", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-3.5-turbo-16k", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/high/1024-x-1536/gpt-image-1.5", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/512-x-512/dall-e-2", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.4-nano", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5.5", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-tts", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-3.5-turbo-1106", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-transcribe", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/standard/1024-x-1024/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-5-mini-2025-08-07", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/text-moderation-007", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/low/1536-x-1024/gpt-image-1.5", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/high/1536-x-1024/gpt-image-1.5-2025-12-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-mini-tts-2025-03-20", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-realtime-mini-2025-10-06", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4.1-2025-04-14", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/low/1024-x-1536/gpt-image-1", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/o3-mini-2025-01-31", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4-1106-preview", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4o-audio-preview-2024-12-17", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-realtime-whisper", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/o3-2025-04-16", "owned_by": "openai", "created": 1677610602, "object": "model" }, { "id": "openai/gpt-4-turbo", "owned_by": "openai", "created": 1677610602, "object": "model" } ], "skills": [ { "name": "ckm:banner-design", "directory": "banner-design", "description": "Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\banner-design\\SKILL.md" }, { "name": "brainstorming", "directory": "brainstorming", "description": "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\brainstorming\\SKILL.md" }, { "name": "ckm:brand", "directory": "brand", "description": "Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\brand\\SKILL.md" }, { "name": "describe-image", "directory": "describe-image", "description": "Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\describe-image\\SKILL.md" }, { "name": "ckm:design", "directory": "design", "description": "Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\design\\SKILL.md" }, { "name": "ckm:design-system", "directory": "design-system", "description": "Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\design-system\\SKILL.md" }, { "name": "dispatching-parallel-agents", "directory": "dispatching-parallel-agents", "description": "Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\dispatching-parallel-agents\\SKILL.md" }, { "name": "doc-coauthoring", "directory": "doc-coauthoring", "description": "Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\doc-coauthoring\\SKILL.md" }, { "name": "docx", "directory": "docx", "description": "Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When the Assistant needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\docx\\SKILL.md" }, { "name": "executing-plans", "directory": "executing-plans", "description": "Use when you have a written implementation plan to execute in a separate session with review checkpoints", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\executing-plans\\SKILL.md" }, { "name": "finishing-a-development-branch", "directory": "finishing-a-development-branch", "description": "Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\finishing-a-development-branch\\SKILL.md" }, { "name": "frontend-design", "directory": "frontend-design", "description": "Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\frontend-design\\SKILL.md" }, { "name": "gitlab-explorer", "directory": "gitlab-explorer", "description": "Explore GitLab repositories using glab CLI and git commands. Use when user asks to: clone repositories, search projects or code in GitLab, view merge requests, explore project structure, check CI/CD pipelines, work with issues, or analyze git history. IMPORTANT: Always run authentication check script first before any GitLab operation.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\gitlab-explorer\\SKILL.md" }, { "name": "pdf", "directory": "pdf", "description": "Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Assistant needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\pdf\\SKILL.md" }, { "name": "pdf-markdown", "directory": "pdf-markdown", "description": "Convert PDF to Markdown with images via MinerU OCR API. Use when markdown output with preserved images is needed. Supports Russian (default) and other languages.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\pdf-markdown\\SKILL.md" }, { "name": "peer-matching", "directory": "peer-matching", "description": "Поиск коллег с похожим AI-опытом и проактивная помощь. Использовать ПРОАКТИВНО когда пользователь застрял, что-то не получается, жалуется, несколько неудачных попыток подряд — предложи поиск коллег. По прямому запросу: \u0027кто работал с X\u0027, \u0027кто решал задачу Y\u0027, \u0027найди эксперта\u0027, \u0027помощь от коллег\u0027.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\peer-matching\\SKILL.md" }, { "name": "playwright-cli", "directory": "playwright-cli", "description": "Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\playwright-cli\\SKILL.md" }, { "name": "pptx", "directory": "pptx", "description": "Presentation creation, editing, and analysis. When Assistant needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\pptx\\SKILL.md" }, { "name": "product-self-knowledge", "directory": "product-self-knowledge", "description": "Reference guide for Alfa-Leasing AI products. Use when users ask about models, model selection, personal data (PD), integrations (Confluence, Jira, Kontur), budget, or AI portal settings.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\product-self-knowledge\\SKILL.md" }, { "name": "receiving-code-review", "directory": "receiving-code-review", "description": "Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\receiving-code-review\\SKILL.md" }, { "name": "requesting-code-review", "directory": "requesting-code-review", "description": "Use when completing tasks, implementing major features, or before merging to verify work meets requirements", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\requesting-code-review\\SKILL.md" }, { "name": "settings-manager", "directory": "settings-manager", "description": "Manage AI assistant settings: check MCP token status (Confluence, Jira, GitLab), view/toggle/publish/install/upload/download skills, get recommendations. Use when user asks about settings, capabilities, skills, tokens; wants to publish, upload, install, enable, disable, or download a skill (.skill file); or when a tool call fails with \u0027No token found\u0027 error.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\settings-manager\\SKILL.md" }, { "name": "skill-creator", "directory": "skill-creator", "description": "Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Assistant\u0027s capabilities with specialized knowledge, workflows, or tool integrations.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\skill-creator\\SKILL.md" }, { "name": "ckm:slides", "directory": "slides", "description": "Create strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\slides\\SKILL.md" }, { "name": "sub-agent", "directory": "sub-agent", "description": "Delegate complex tasks to autonomous sub-agent. Use for: creating presentations, multi-file refactoring, code review, Git operations, research, documentation. Works like a powerful assistant within isolated environment.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\sub-agent\\SKILL.md" }, { "name": "subagent-driven-development", "directory": "subagent-driven-development", "description": "Use when executing implementation plans with independent tasks in the current session", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\subagent-driven-development\\SKILL.md" }, { "name": "systematic-debugging", "directory": "systematic-debugging", "description": "Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\systematic-debugging\\SKILL.md" }, { "name": "test-driven-development", "directory": "test-driven-development", "description": "Use when implementing any feature or bugfix, before writing implementation code", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\test-driven-development\\SKILL.md" }, { "name": "ckm:ui-styling", "directory": "ui-styling", "description": "Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\ui-styling\\SKILL.md" }, { "name": "ui-ux-pro-max", "directory": "ui-ux-pro-max", "description": "UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\ui-ux-pro-max\\SKILL.md" }, { "name": "using-git-worktrees", "directory": "using-git-worktrees", "description": "Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\using-git-worktrees\\SKILL.md" }, { "name": "using-superpowers", "directory": "using-superpowers", "description": "Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\using-superpowers\\SKILL.md" }, { "name": "verification-before-completion", "directory": "verification-before-completion", "description": "Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\verification-before-completion\\SKILL.md" }, { "name": "webapp-testing", "directory": "webapp-testing", "description": "Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\webapp-testing\\SKILL.md" }, { "name": "writing-plans", "directory": "writing-plans", "description": "Use when you have a spec or requirements for a multi-step task, before touching code", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\writing-plans\\SKILL.md" }, { "name": "writing-skills", "directory": "writing-skills", "description": "Use when creating new skills, editing existing skills, or verifying skills work before deployment", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\writing-skills\\SKILL.md" }, { "name": "xlsx", "directory": "xlsx", "description": "Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Assistant needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas", "path": "E:\\AlfaCoder\\integration\\codex-content\\skills\\xlsx\\SKILL.md" } ], "mcp_servers": [ { "server_name": "qdrant_memory", "server_id": "04eb87f27b03e5e443126ae781179f01", "description": "Shared memory collection backed by Qdrant collection alfacoder_memory.", "transport": "http", "url": "http://qdrant-mcp:8000/mcp/", "allowed_tools": [ "qdrant-find", "qdrant-store" ], "available_on_public_internet": false, "approval_status": "active" }, { "server_name": "neo4j_graph", "server_id": "77ef43b8b252486234c24597a7d6b929", "description": "Read-only Cypher/schema access to the shared Neo4j graph database.", "transport": "http", "url": "http://neo4j-mcp:8000/mcp/", "allowed_tools": [ "get_neo4j_schema", "read_neo4j_cypher" ], "available_on_public_internet": false, "approval_status": "active" }, { "server_name": "alfacoder_catalog", "server_id": "ee46fe3a5e02308e327972d9eb159c90", "description": "Single catalog endpoint for AlfaCoder models, skills and MCP capabilities.", "transport": "http", "url": "http://alfacoder-catalog-mcp:8000/mcp/", "allowed_tools": [ "catalog_summary", "list_models", "list_skills", "get_skill", "list_mcp_servers", "list_mcp_tools" ], "available_on_public_internet": false, "approval_status": "active" } ], "mcp_tools": [ { "name": "qdrant_memory-qdrant-find", "title": null, "description": "Look up memories in Qdrant. Use this tool when you need to: \n - Find memories by their content \n - Access memories for further analysis \n - Get some personal information about the user", "read_only": null, "destructive": null }, { "name": "qdrant_memory-qdrant-store", "title": null, "description": "Keep the memory for later use, when you are asked to remember something.", "read_only": null, "destructive": null }, { "name": "neo4j_graph-get_neo4j_schema", "title": "Get Neo4j Schema", "description": "Returns nodes, their properties (with types and indexed flags), and relationships\nusing APOC\u0027s schema inspection.\n\nYou should only provide a `sample_size` value if requested by the user, or tuning the retrieval performance.\n\nPerformance Notes:\n - If `sample_size` is not provided, uses the server\u0027s default sample setting defined in the server configuration.\n - If retrieving the schema times out, try lowering the sample size, e.g. `sample_size=100`.\n - To sample the entire graph use `sample_size=-1`.", "read_only": true, "destructive": false }, { "name": "neo4j_graph-read_neo4j_cypher", "title": "Read Neo4j Cypher", "description": "Execute a read Cypher query on the neo4j database.", "read_only": true, "destructive": false }, { "name": "alfacoder_catalog-catalog_summary", "title": null, "description": "Return AlfaCoder catalog generation time, endpoint URLs, and item counts.", "read_only": null, "destructive": null }, { "name": "alfacoder_catalog-list_models", "title": null, "description": "List models currently published by LiteLLM.", "read_only": null, "destructive": null }, { "name": "alfacoder_catalog-list_skills", "title": null, "description": "List Codex/AlfaCoder skills available in the shared content bundle.", "read_only": null, "destructive": null }, { "name": "alfacoder_catalog-get_skill", "title": null, "description": "Return one skill metadata entry by name.", "read_only": null, "destructive": null }, { "name": "alfacoder_catalog-list_mcp_servers", "title": null, "description": "List MCP servers currently registered in LiteLLM.", "read_only": null, "destructive": null }, { "name": "alfacoder_catalog-list_mcp_tools", "title": null, "description": "List MCP tools currently published through LiteLLM.", "read_only": null, "destructive": null } ] }