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Implements resolver functions that fetch or generate tutoring content based on query parameters like subject, grade level, and topic, enabling dynamic content retrieval without fixed REST endpoints.","intents":["Query specific math concepts with worked examples and explanations","Retrieve multi-subject lesson plans filtered by grade level and difficulty","Fetch practice problems with answer keys and step-by-step solutions","Build custom tutoring workflows by composing multiple content queries in a single request"],"best_for":["EdTech developers building AI-powered tutoring assistants","Claude/LLM-based tutoring agents needing structured curriculum access","Teams integrating educational content into MCP-compatible AI applications"],"limitations":["GraphQL schema design and resolver implementation details not publicly documented — requires reverse-engineering from source","No built-in caching layer specified — repeated queries may incur redundant computation","Curriculum scope limited to middle school subjects — no high school or elementary content","Query complexity limits not documented — deeply nested queries may timeout"],"requires":["MCP client implementation (Claude Desktop, custom MCP runner, or compatible tool)","Node.js runtime for MCP server execution","GraphQL query knowledge or client library (graphql-js, Apollo Client, etc.)"],"input_types":["GraphQL query strings","Query variables (subject, grade, topic, difficulty level)"],"output_types":["JSON-structured educational content","Lesson explanations","Practice problems with solutions","Curriculum metadata"],"categories":["tool-use-integration","education-content"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_1","uri":"capability://tool.use.integration.mcp.protocol.bridging.for.llm.based.tutoring.agents","name":"mcp protocol bridging for llm-based tutoring agents","description":"Implements the Model Context Protocol (MCP) server specification, exposing educational content tools as MCP resources and tools that Claude or other MCP-compatible LLMs can discover and invoke. Handles MCP protocol handshake, resource listing, tool schema advertisement, and request/response serialization, allowing AI agents to treat curriculum queries as native capabilities.","intents":["Enable Claude to discover and call tutoring content queries as native MCP tools","Integrate middle school curriculum into multi-turn tutoring conversations with context preservation","Allow LLM agents to compose tutoring workflows by chaining multiple curriculum queries","Expose educational resources through a standardized protocol for interoperability with other MCP clients"],"best_for":["AI engineers building Claude-powered tutoring agents","Teams deploying MCP servers in educational AI stacks","Developers integrating multiple MCP servers (tutoring + knowledge base + code execution)"],"limitations":["MCP protocol version compatibility not specified — may break with future protocol updates","No built-in authentication or rate limiting — requires external gateway for multi-tenant scenarios","Server state management not documented — unclear if tools maintain conversation context across requests","Tool schema validation relies on client-side implementation — malformed queries may fail silently"],"requires":["MCP-compatible client (Claude Desktop 0.4.0+, custom MCP runner, or Cline)","Node.js 16+ runtime","Understanding of MCP protocol (resources, tools, prompts)"],"input_types":["MCP tool invocation requests","Tool arguments (subject, grade, topic, etc.)","Resource URIs"],"output_types":["MCP tool results (JSON-structured content)","Resource representations","Tool schema definitions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_2","uri":"capability://data.processing.analysis.subject.specific.curriculum.content.resolution.with.topic.hierarchies","name":"subject-specific curriculum content resolution with topic hierarchies","description":"Resolves educational content queries by mapping subject names (math, science, language arts, social studies) and topic hierarchies (e.g., algebra > linear equations > solving for x) to structured curriculum data. Uses resolver functions to fetch or generate explanations, examples, and practice problems based on grade level and difficulty parameters, supporting multi-level topic nesting.","intents":["Retrieve all algebra topics for grade 7 with difficulty levels","Get step-by-step explanation for a specific concept like 'solving quadratic equations'","Fetch practice problems filtered by subject, grade, and difficulty","Build a curriculum map showing topic prerequisites and learning paths"],"best_for":["Tutoring platforms needing structured curriculum hierarchies","AI agents building personalized learning paths based on student level","Educational content platforms integrating multiple subjects with topic relationships"],"limitations":["Curriculum data source not documented — unclear if content is hardcoded, fetched from external API, or generated by LLM","Topic hierarchy depth and breadth not specified — may not cover all middle school standards","No versioning or curriculum standard alignment documented (Common Core, state standards, etc.)","Difficulty level definitions are subjective — no standardized rubric provided"],"requires":["MCP client with GraphQL query capability","Knowledge of subject names and topic hierarchies supported by the server","Grade level context (6-8 for middle school)"],"input_types":["Subject name (string)","Topic path (hierarchical string or array)","Grade level (integer 6-8)","Difficulty level (enum or string)"],"output_types":["Lesson content (text explanations)","Worked examples (structured steps)","Practice problems (with answer keys)","Topic metadata (prerequisites, learning objectives)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_3","uri":"capability://memory.knowledge.multi.turn.tutoring.conversation.context.management.via.mcp","name":"multi-turn tutoring conversation context management via mcp","description":"Maintains conversation state across multiple tutoring interactions by leveraging MCP's context protocol, allowing the server to track student progress, previous questions, and learning history within a single tutoring session. Resolvers can access prior query context to provide personalized follow-up content and avoid repeating explanations.","intents":["Build multi-turn tutoring conversations where follow-up questions reference previous topics","Track which concepts a student has already learned to avoid repetition","Provide personalized difficulty progression based on student performance history","Generate adaptive practice problems based on prior mistakes or knowledge gaps"],"best_for":["Interactive tutoring agents that maintain conversation memory","Adaptive learning systems that adjust difficulty based on student responses","Multi-session tutoring platforms tracking long-term student progress"],"limitations":["Context persistence mechanism not documented — unclear if state is ephemeral (per-session) or persistent (across sessions)","No explicit session management API documented — context boundaries and cleanup not specified","Memory limits for conversation history not defined — large tutoring sessions may degrade performance","No built-in student profile or progress tracking — requires external database integration"],"requires":["MCP client supporting context protocol (Claude Desktop 0.4.0+)","Stateful MCP server implementation (not serverless)","Session identifier or conversation ID from client"],"input_types":["Current query (subject, topic, question)","Implicit context from prior MCP messages","Student response or feedback (if provided)"],"output_types":["Contextually-aware content (references to prior topics)","Adaptive follow-up questions","Progress summaries","Personalized recommendations"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_4","uri":"capability://text.generation.language.worked.example.generation.with.step.by.step.solution.scaffolding","name":"worked example generation with step-by-step solution scaffolding","description":"Generates detailed worked examples for math and science problems by breaking solutions into discrete steps with explanations at each stage. Implements a resolver that structures problem-solving workflows (e.g., 'identify given', 'set up equation', 'solve', 'verify') and provides reasoning for each step, enabling students to learn problem-solving methodology alongside content.","intents":["Generate step-by-step solutions for math problems that show reasoning at each stage","Create scaffolded examples that break complex problems into manageable substeps","Provide alternative solution methods for the same problem","Build interactive problem-solving tutorials that guide students through methodology"],"best_for":["Math and science tutoring agents needing detailed solution walkthroughs","Adaptive learning platforms that adjust scaffolding based on student level","Educational content creators building problem libraries with solutions"],"limitations":["Solution generation approach not documented — unclear if content is templated, LLM-generated, or pre-authored","No validation that generated steps are mathematically correct — potential for hallucinated solutions","Scaffolding depth not configurable — may be too detailed for advanced students or too sparse for beginners","Limited to middle school math/science — no support for proof-based or advanced problem types"],"requires":["MCP client with GraphQL query support","Problem specification (subject, topic, difficulty, problem statement)","Optional: student grade level for scaffolding adjustment"],"input_types":["Problem statement (text or structured format)","Subject and topic context","Difficulty level","Scaffolding preference (detailed vs. concise)"],"output_types":["Structured steps (array of step objects)","Step explanations (text reasoning)","Intermediate results (calculations, diagrams)","Alternative solution methods"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_5","uri":"capability://text.generation.language.practice.problem.generation.with.answer.key.and.difficulty.calibration","name":"practice problem generation with answer key and difficulty calibration","description":"Generates practice problems for middle school subjects with corresponding answer keys and difficulty levels calibrated to grade and topic. Implements resolvers that create problem variants (e.g., different numbers, contexts) from templates and assign difficulty scores based on cognitive complexity, enabling adaptive problem sequencing.","intents":["Generate unlimited practice problems for a specific topic at a chosen difficulty level","Create problem sets that progressively increase in difficulty","Fetch answer keys and solution explanations for auto-grading","Generate problem variants to prevent memorization and encourage deeper learning"],"best_for":["Adaptive tutoring systems that adjust problem difficulty based on student performance","Homework platforms needing unlimited problem generation","Assessment tools requiring randomized problem variants"],"limitations":["Problem generation mechanism not documented — unclear if templated, LLM-generated, or procedural","Difficulty calibration methodology not specified — no published rubric for difficulty scoring","No validation that generated problems are solvable or mathematically sound","Limited to middle school scope — no support for open-ended or essay-type problems"],"requires":["MCP client with GraphQL query capability","Subject, topic, and grade level specification","Difficulty level preference (1-5 scale or equivalent)"],"input_types":["Subject and topic","Grade level","Difficulty level","Problem count (for batch generation)","Optional: problem type (multiple choice, free response, etc.)"],"output_types":["Problem statement (text or structured format)","Answer key (single answer or multiple valid answers)","Solution explanation (step-by-step or conceptual)","Difficulty score (numeric or categorical)","Problem metadata (learning objectives, prerequisite topics)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alecrem-middleschool-tutor-gql__cap_6","uri":"capability://data.processing.analysis.grade.level.and.learning.standard.alignment.mapping","name":"grade-level and learning standard alignment mapping","description":"Maps curriculum content to grade levels (6-8) and learning standards (e.g., Common Core, state standards) through metadata resolvers that tag topics with standard codes and grade appropriateness. Enables queries filtered by grade level or standard, allowing educators to ensure content aligns with curriculum requirements.","intents":["Query all topics aligned to a specific Common Core standard","Retrieve grade 7 content that meets state curriculum requirements","Build curriculum maps showing standard-to-topic mappings","Validate that tutoring content covers required learning standards"],"best_for":["Educational platforms ensuring curriculum alignment with standards","School districts implementing standards-based tutoring","Compliance-focused EdTech companies needing standard mappings"],"limitations":["Learning standard coverage not documented — unclear which standards are supported (Common Core only, or state-specific)","Standard mapping accuracy not validated — no documentation of how mappings were created or reviewed","No support for multiple standard frameworks simultaneously — may require separate queries for different standards","Grade level boundaries may not align with all school district structures (K-8 vs. 6-8 vs. 7-9)"],"requires":["MCP client with GraphQL query capability","Knowledge of supported learning standards and grade levels","Standard code or grade level for filtering"],"input_types":["Learning standard code (e.g., 'CCSS.MATH.6.RP.A.1')","Grade level (6, 7, or 8)","Subject area"],"output_types":["Topics aligned to standard","Standard metadata (description, learning objectives)","Grade-level appropriateness indicators","Prerequisite standards"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude Desktop, custom MCP runner, or compatible tool)","Node.js runtime for MCP server execution","GraphQL query knowledge or client library (graphql-js, Apollo Client, etc.)","MCP-compatible client (Claude Desktop 0.4.0+, custom MCP runner, or Cline)","Node.js 16+ runtime","Understanding of MCP protocol (resources, tools, prompts)","MCP client with GraphQL query capability","Knowledge of subject names and topic hierarchies supported by the server","Grade level context (6-8 for middle school)","MCP client supporting context protocol (Claude Desktop 0.4.0+)"],"failure_modes":["GraphQL schema design and resolver implementation details not publicly documented — requires reverse-engineering from source","No built-in caching layer specified — repeated queries may incur redundant computation","Curriculum scope limited to middle school subjects — no high school or elementary content","Query complexity limits not documented — deeply nested queries may timeout","MCP protocol version compatibility not specified — may break with future protocol updates","No built-in authentication or rate limiting — requires external gateway for multi-tenant scenarios","Server state management not documented — unclear if tools maintain conversation context across requests","Tool schema validation relies on client-side implementation — malformed queries may fail silently","Curriculum data source not documented — unclear if content is hardcoded, fetched from external API, or generated by LLM","Topic hierarchy depth and breadth not specified — may not cover all middle school standards","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:09.932Z","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=alecrem-middleschool-tutor-gql","compare_url":"https://unfragile.ai/compare?artifact=alecrem-middleschool-tutor-gql"}},"signature":"VTVHM20KCt/EyY8IR/MWvV+ykS0mHaAAzpVOKihYw7g2C2MK0DPA11dj8D7wEgp8pPJFQVyn9qKOlKfCbrQ8Dg==","signedAt":"2026-06-15T15:21:54.556Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alecrem-middleschool-tutor-gql","artifact":"https://unfragile.ai/alecrem-middleschool-tutor-gql","verify":"https://unfragile.ai/api/v1/verify?slug=alecrem-middleschool-tutor-gql","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"}}