EduBase
MCP ServerFree** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
Capabilities13 decomposed
mcp protocol bridge to edubase platform api
Medium confidenceImplements the Model Context Protocol (MCP) as a standardized bridge layer that translates MCP client requests into EduBase REST API calls, exposing over 160 educational platform operations through a unified tool registry with naming convention edubase_<method>_<endpoint>. The server uses @modelcontextprotocol/sdk v1.12.3 for protocol compliance and maintains bidirectional communication between AI assistants and the EduBase backend.
Exposes 160+ EduBase operations through standardized MCP tool registry with consistent naming convention, enabling AI clients to discover and invoke educational platform capabilities without custom integration code
Provides MCP-native access to EduBase compared to raw REST API clients, reducing integration complexity for LLM-based applications while maintaining full platform feature parity
parametrized question management with multiple question types
Medium confidenceManages atomic educational questions through 8 dedicated tools (edubase_get_question, edubase_post_question, etc.) that support parametrization for infinite question variations, multiple question types (TEXT, CHOICE, NUMERIC, MATRIX), LaTeX typesetting for STEM content, and automatic grading. Questions serve as the foundational building block in the three-tier content hierarchy and can be organized into Quiz Sets and Exams.
Supports parametrized questions with infinite variations and LaTeX typesetting through MCP tools, enabling AI systems to generate and manage adaptive assessments without direct platform access
Provides parametrization and STEM support through MCP compared to static question banks in typical LMS systems, enabling dynamic assessment generation at scale
transport layer with multiple deployment options
Medium confidenceImplements flexible transport mechanisms supporting multiple deployment architectures including stdio (local process), HTTP/WebSocket (remote server), and Docker containerization. The transport layer abstracts communication between MCP clients and the EduBase server, enabling deployment in various environments (local development, cloud, on-premise) with configurable authentication and rate limiting.
Supports multiple transport mechanisms (stdio, HTTP, WebSocket) and deployment options (local, Docker, Smithery) enabling flexible MCP server deployment across development and production environments
Provides multiple deployment options compared to single-transport MCP servers, enabling flexible infrastructure choices and scaling strategies
authentication and api credential management
Medium confidenceImplements authentication system managing EduBase API credentials (App ID and Secret Key) obtained from the EduBase dashboard integrations menu. Credentials are used to authenticate all MCP tool requests to the EduBase platform, with support for token-based authentication and optional SSO integration for enterprise deployments.
Manages EduBase API credentials with support for SSO integration, enabling secure authentication of MCP requests to the educational platform
Provides credential management with SSO support compared to basic API key handling, enabling enterprise-grade authentication and audit capabilities
rate limiting and request throttling
Medium confidenceImplements rate limiting and request throttling mechanisms to protect the EduBase platform from excessive API usage and ensure fair resource allocation across MCP clients. Rate limits are applied at the server level with configurable thresholds and backoff strategies.
Implements server-level rate limiting to protect EduBase platform resources, enabling controlled API access across multiple MCP clients
Provides built-in rate limiting compared to uncontrolled API access, enabling resource protection and fair allocation in multi-client deployments
quiz set organization and composition from questions
Medium confidenceExposes 7 tools for Quiz Set management (edubase_get_quiz_set, edubase_post_quiz_set, etc.) that enable organizing questions into reusable collections serving as the middle organizational layer in the three-tier content hierarchy. Quiz Sets group related questions and can be composed into Exams, supporting content reuse and modular assessment design.
Implements middle-tier organizational layer in three-tier content hierarchy (Questions → Quiz Sets → Exams), enabling modular assessment design and question reuse through MCP tools
Provides explicit quiz set composition layer compared to flat question banks, enabling better content organization and reuse patterns in large-scale educational systems
secure exam creation and management with cheating detection
Medium confidenceManages secure, time-limited assessment instances through 8 dedicated tools (edubase_get_exam, edubase_post_exam, etc.) built from Quiz Sets with integrated cheating detection capabilities. Exams represent the top tier of the three-tier content hierarchy and enforce security controls including time limits, access restrictions, and proctoring integration for high-stakes assessments.
Integrates cheating detection and security controls at the exam level within the three-tier hierarchy, enabling AI systems to manage secure assessments with built-in integrity monitoring
Provides native cheating detection and security controls compared to basic quiz platforms, enabling high-stakes assessment use cases through MCP integration
user account and identity management
Medium confidenceExposes 15 user management tools (edubase_get_user, edubase_post_user, etc.) for creating, updating, and managing user accounts within the EduBase platform. Integrates with SSO systems for enterprise authentication and maintains user profiles with role assignments, organizational membership, and permission associations.
Provides programmatic user management with SSO integration through MCP tools, enabling AI systems to manage educational platform identities without direct database access
Offers MCP-native user management compared to manual admin panels, enabling automated user provisioning and SSO integration at scale
organization and class structure management
Medium confidenceManages organizational hierarchies and class groupings through 15 dedicated tools (edubase_get_organization, edubase_post_organization, etc.) that enable creating departments, schools, classes, and other organizational units. Organizations form the structural context for users, permissions, and content access, supporting multi-tenant and hierarchical organizational models.
Exposes organizational hierarchy management through MCP tools supporting multi-tenant structures, enabling AI systems to manage complex educational organizational models
Provides programmatic organizational structure management compared to manual admin configuration, enabling dynamic organizational scaling and restructuring
fine-grained permission and access control system
Medium confidenceImplements a comprehensive permission system with 52 dedicated tools (edubase_get_permission, edubase_post_permission, etc.) providing fine-grained access control across users, organizations, content, and operations. Permissions are assigned at multiple levels (user, role, organization) and control access to questions, quiz sets, exams, and administrative functions, supporting role-based access control (RBAC) and attribute-based access control (ABAC) patterns.
Exposes 52 permission management tools implementing fine-grained access control across the entire platform, enabling AI systems to enforce complex authorization policies without direct database access
Provides comprehensive permission management through MCP compared to basic role-based systems, enabling enterprise-grade access control and compliance requirements
tag-based content organization and metadata management
Medium confidenceManages content metadata and organization through 38 tag management tools (edubase_get_tag, edubase_post_tag, etc.) enabling hierarchical tagging, content categorization, and semantic organization. Tags serve as flexible metadata that can be applied to questions, quiz sets, exams, and other content, supporting discovery, filtering, and content relationship mapping.
Provides 38 tag management tools supporting hierarchical tagging and semantic organization, enabling AI systems to organize and discover educational content through flexible metadata
Offers comprehensive tag management compared to flat categorization systems, enabling semantic content organization and discovery at scale
results and analytics data retrieval
Medium confidenceExposes 6 tools for results and analytics (edubase_get_quiz_results, edubase_get_exam_results, etc.) enabling retrieval of performance data, assessment results, and learning analytics. Provides aggregated and individual result data with scoring, timing, and attempt information for analysis and reporting.
Provides dedicated results and analytics tools enabling AI systems to retrieve and analyze assessment performance data without direct database access
Offers MCP-native analytics access compared to manual report generation, enabling automated learning analytics and performance monitoring
external system integration and connector management
Medium confidenceManages external system integrations through 7 integration tools (edubase_get_integration, edubase_post_integration, etc.) enabling connections to third-party services, LMS systems, and data sources. Integrations support data synchronization, SSO federation, and API bridging to external educational platforms.
Provides integration management tools enabling AI systems to configure and manage connections to external educational platforms without custom development
Offers MCP-native integration management compared to manual configuration, enabling automated multi-platform orchestration and data synchronization
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI assistant builders integrating educational platforms
- ✓EdTech teams building multi-client LLM applications
- ✓Organizations standardizing on MCP for tool orchestration
- ✓EdTech platforms building adaptive learning systems
- ✓STEM educators creating parameterized problem sets
- ✓Assessment platforms requiring multi-format question support
- ✓Development teams building local LLM integrations
- ✓Cloud platforms deploying MCP servers at scale
Known Limitations
- ⚠Requires EduBase instance with API access enabled
- ⚠Tool registry is static at server startup — no dynamic tool discovery
- ⚠MCP protocol overhead adds latency compared to direct REST calls
- ⚠Question parametrization syntax not documented in provided materials
- ⚠Automatic grading rules must be pre-configured in EduBase platform
- ⚠No built-in question validation or syntax checking at MCP layer
Requirements
Input / Output
UnfragileRank
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About
** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
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