{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-instantdb","slug":"instantdb","name":"InstantDB","type":"mcp","url":"https://github.com/instantdb/instant/tree/main/client/packages/mcp","page_url":"https://unfragile.ai/instantdb","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-instantdb__cap_0","uri":"capability://tool.use.integration.mcp.based.database.schema.introspection.and.management","name":"mcp-based database schema introspection and management","description":"Exposes InstantDB's triple-store schema (Entity-Attribute-Value model) through the Model Context Protocol, allowing Claude and other MCP clients to inspect, validate, and understand application data structures without direct API calls. Uses the MCP tool registry to bind schema inspection functions that query the InstantDB server's schema definition and indexing metadata, enabling AI agents to reason about data relationships before executing mutations.","intents":["I want Claude to understand my InstantDB schema so it can generate correct queries and mutations","I need an AI agent to validate data structure changes before applying them to production","I want to expose my database schema to LLM-powered code generation tools"],"best_for":["AI-assisted development teams using Claude for database-aware code generation","LLM agents that need to reason about data models before executing operations","Developers building AI-powered database administration tools"],"limitations":["Schema introspection is read-only through MCP — mutations require separate InstantDB SDK calls","No real-time schema change notifications through MCP; requires polling or separate WebSocket connection","CEL-based permission rules are not fully exposed through MCP, limiting AI understanding of access control"],"requires":["InstantDB project with initialized schema","MCP client implementation (Claude Desktop, Cline, or custom MCP host)","Valid InstantDB API credentials or authentication token"],"input_types":["schema query parameters (entity type, attribute filters)","validation rules (CEL expressions for permission checking)"],"output_types":["JSON schema definitions","Entity-Attribute-Value triple metadata","Index and storage configuration"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_1","uri":"capability://tool.use.integration.mcp.integrated.instaql.query.execution.with.real.time.subscription.binding","name":"mcp-integrated instaql query execution with real-time subscription binding","description":"Enables Claude and MCP clients to execute InstaQL queries (InstantDB's Datalog-based query language) and receive results through the MCP protocol, with support for binding real-time subscriptions that push updates to the AI agent when underlying data changes. Translates MCP tool calls into InstaQL syntax, routes them through the InstantDB Reactor state machine, and streams query invalidation events back through MCP when data mutations occur, enabling AI agents to maintain fresh context.","intents":["I want Claude to query my database and get real-time updates when data changes","I need an AI agent to subscribe to specific data patterns and react to changes automatically","I want to build an LLM-powered dashboard that stays synchronized with database mutations"],"best_for":["AI agents building real-time applications with live data requirements","Teams using Claude for database-driven decision making that needs fresh data","Developers creating AI-powered monitoring or alerting systems"],"limitations":["InstaQL query complexity is limited by Datalog expressiveness — no arbitrary aggregations or window functions","Real-time subscription overhead increases with query complexity; deeply nested queries may cause latency","MCP message size limits may constrain result sets for large queries; pagination required for big datasets"],"requires":["InstantDB server with WebSocket support enabled","MCP client with streaming/subscription capability","Valid authentication token with query permissions"],"input_types":["InstaQL query strings","query parameters and filters","subscription configuration (watch patterns)"],"output_types":["JSON result sets","query invalidation events","real-time update deltas"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_2","uri":"capability://tool.use.integration.mcp.mediated.instaml.mutation.execution.with.optimistic.ui.coordination","name":"mcp-mediated instaml mutation execution with optimistic ui coordination","description":"Allows Claude and MCP clients to execute InstaML mutations (InstantDB's transaction language) through MCP tool calls, with support for optimistic updates that are immediately reflected in the AI agent's context before server confirmation. Implements a mutation queue that batches changes, applies them optimistically to a local state replica, and reconciles with server responses, enabling AI agents to coordinate multi-step database operations with immediate feedback.","intents":["I want Claude to create, update, or delete records and see the results immediately","I need an AI agent to perform multi-step transactions that depend on previous mutations","I want to build an AI-powered form that shows optimistic updates before server confirmation"],"best_for":["AI agents performing sequential database operations that need immediate feedback","Teams building AI-assisted data entry or bulk import tools","Developers creating AI-powered content management systems"],"limitations":["Optimistic updates are local to the MCP client; other clients won't see them until server confirmation","Mutation rollback on server rejection requires manual reconciliation logic in the AI agent","Permissioned mutations (CEL-based access control) may fail after optimistic application, requiring conflict resolution","No built-in undo/redo for optimistic mutations; requires explicit state management"],"requires":["InstantDB server with mutation permissions configured","MCP client with state management capability","Valid authentication token with write permissions"],"input_types":["InstaML mutation expressions","entity data (JSON objects)","transaction metadata (timestamps, user context)"],"output_types":["mutation confirmation responses","optimistic update acknowledgments","conflict/rejection errors with details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_3","uri":"capability://safety.moderation.mcp.exposed.permission.and.cel.rule.evaluation.for.access.control","name":"mcp-exposed permission and cel rule evaluation for access control","description":"Exposes InstantDB's CEL (Common Expression Language) based permission system through MCP tools, allowing Claude and AI agents to evaluate whether specific mutations or queries are permitted before execution. Implements a permission checker that parses CEL rules from the schema, evaluates them against the current user context and data state, and returns detailed permission denial reasons, enabling AI agents to understand access control constraints.","intents":["I want Claude to check if a mutation is allowed before attempting it","I need an AI agent to understand why a query or mutation was denied","I want to build an AI-powered system that respects row-level security rules"],"best_for":["AI agents operating in multi-tenant or role-based access control environments","Teams building AI-powered admin tools that must respect permission boundaries","Developers creating AI-assisted data governance or compliance systems"],"limitations":["CEL rule evaluation is synchronous and may be slow for complex rules with many conditions","Permission rules are evaluated at query time; no caching of permission results across requests","Dynamic permissions (based on external services) require custom CEL functions; not all external integrations are supported","No audit logging of permission checks through MCP; requires separate logging integration"],"requires":["InstantDB schema with CEL permission rules defined","User context with identity and role information","MCP client with access to current data state for rule evaluation"],"input_types":["CEL rule expressions","user context (identity, roles, attributes)","entity data for row-level security evaluation"],"output_types":["boolean permission result","detailed denial reasons","required conditions for permission grant"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_4","uri":"capability://automation.workflow.mcp.integrated.schema.evolution.and.migration.coordination","name":"mcp-integrated schema evolution and migration coordination","description":"Exposes InstantDB's schema definition and evolution system through MCP, allowing Claude and AI agents to propose, validate, and coordinate schema changes (adding attributes, modifying indexes, updating CEL rules) before applying them. Implements a schema validation layer that checks for backward compatibility, identifies affected queries and mutations, and provides migration guidance, enabling AI agents to safely evolve database schemas.","intents":["I want Claude to suggest schema changes based on new application requirements","I need an AI agent to validate that a schema change won't break existing queries","I want to build an AI-powered schema migration tool that understands dependencies"],"best_for":["Teams using AI for database design and evolution","Developers building AI-assisted schema migration tools","Organizations with complex schemas that need AI-powered impact analysis"],"limitations":["Schema changes are validated but not automatically applied; requires separate admin SDK call for persistence","Impact analysis is limited to known queries and mutations; dynamically generated queries may not be detected","No rollback capability through MCP; schema changes are permanent once applied","Index creation/modification may lock tables; AI agent cannot predict lock duration"],"requires":["InstantDB admin credentials with schema modification permissions","MCP client with access to query and mutation definitions","Schema validation rules configured in InstantDB"],"input_types":["schema change proposals (new attributes, index modifications)","validation rules and constraints","impact analysis parameters"],"output_types":["schema validation results","impact analysis (affected queries/mutations)","migration guidance and warnings"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_5","uri":"capability://tool.use.integration.mcp.mediated.presence.and.topic.based.messaging.for.collaborative.ai.features","name":"mcp-mediated presence and topic-based messaging for collaborative ai features","description":"Exposes InstantDB's presence system (tracking online users and their activity) and topic-based messaging through MCP, allowing Claude and AI agents to broadcast messages, track user presence, and coordinate multi-agent or human-AI collaboration. Implements presence subscriptions that notify agents when users join/leave, and topic publishing that enables agents to send notifications or coordinate actions across multiple clients.","intents":["I want an AI agent to know which users are currently online and active","I need Claude to broadcast a message to all connected clients about a database change","I want to build a collaborative AI system where multiple agents coordinate through shared topics"],"best_for":["Teams building collaborative AI-assisted applications","Developers creating multi-agent systems that need coordination","Applications requiring real-time user presence and activity tracking"],"limitations":["Presence data is ephemeral; no historical record of user activity","Topic messages are not persisted; agents joining after a message is sent won't see it","Presence updates may lag due to WebSocket latency; not suitable for sub-second coordination","No message ordering guarantees across multiple topic publishers"],"requires":["InstantDB server with WebSocket support for presence tracking","MCP client with subscription capability","User context with identity for presence tracking"],"input_types":["presence subscription filters","topic names and message payloads","user activity metadata"],"output_types":["presence events (user joined/left)","topic message broadcasts","activity status updates"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_6","uri":"capability://tool.use.integration.mcp.exposed.file.storage.and.s3.integration.for.media.handling","name":"mcp-exposed file storage and s3 integration for media handling","description":"Exposes InstantDB's S3-backed file storage system through MCP, allowing Claude and AI agents to upload, download, and manage media files (images, documents, etc.) associated with database entities. Implements storage API bindings that handle file uploads to S3, generate signed URLs for secure access, and track file metadata in the triple-store, enabling AI agents to work with rich media in addition to structured data.","intents":["I want Claude to upload an image to my database and link it to a record","I need an AI agent to download and process files stored in InstantDB","I want to build an AI-powered content management system with media handling"],"best_for":["AI agents building media-rich applications","Teams using Claude for content creation and asset management","Developers creating AI-powered document processing or image analysis systems"],"limitations":["File uploads through MCP are limited by message size constraints; large files require chunked uploads","S3 credentials are managed server-side; MCP clients cannot directly access S3","No built-in virus scanning or content moderation for uploaded files","Signed URLs expire; agents must request fresh URLs for long-lived access"],"requires":["InstantDB server with S3 storage configured","AWS S3 bucket with proper permissions","MCP client with file handling capability"],"input_types":["file data (binary or base64 encoded)","file metadata (name, type, size)","entity references for file association"],"output_types":["file upload confirmations","signed S3 URLs","file metadata and storage references"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_7","uri":"capability://tool.use.integration.mcp.integrated.admin.impersonation.for.multi.tenant.ai.operations","name":"mcp-integrated admin impersonation for multi-tenant ai operations","description":"Exposes InstantDB's admin SDK impersonation capability through MCP, allowing privileged AI agents to execute queries and mutations on behalf of other users while respecting their permission boundaries. Implements user context switching that applies the impersonated user's CEL permission rules, enabling AI agents to perform administrative tasks (data migration, bulk operations, user support) while maintaining security boundaries.","intents":["I want an AI agent to perform bulk operations on behalf of multiple users","I need Claude to debug a user's data issues by executing queries in their context","I want to build an AI-powered support system that can access user data securely"],"best_for":["AI-powered admin and support tools","Teams building multi-tenant AI agents with delegated access","Developers creating AI-assisted data migration and bulk operation tools"],"limitations":["Impersonation requires admin credentials; cannot be delegated to untrusted AI agents","Impersonated operations are still subject to CEL permission rules; some operations may still be denied","No audit trail of impersonated operations through MCP; requires separate logging","Impersonation context is lost if the MCP connection drops; requires explicit re-authentication"],"requires":["InstantDB admin SDK credentials","User IDs or identities to impersonate","MCP client with admin capability"],"input_types":["user ID or identity to impersonate","queries or mutations to execute","impersonation context metadata"],"output_types":["query results in impersonated user context","mutation confirmations with impersonated user attribution","permission denial errors from impersonated user's rules"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_8","uri":"capability://automation.workflow.mcp.exposed.feature.flags.and.configuration.management.for.ai.driven.feature.rollout","name":"mcp-exposed feature flags and configuration management for ai-driven feature rollout","description":"Exposes InstantDB's feature flag system through MCP, allowing Claude and AI agents to query, enable, and disable feature flags for specific users or cohorts. Implements flag evaluation that respects user context and rollout percentages, enabling AI agents to coordinate feature releases, A/B tests, and gradual rollouts without requiring code changes.","intents":["I want an AI agent to enable a feature for a specific user to test it","I need Claude to manage feature flags and rollout percentages programmatically","I want to build an AI-powered feature management system with intelligent rollout decisions"],"best_for":["AI-powered feature management and experimentation platforms","Teams using Claude for intelligent feature rollout decisions","Developers building AI-assisted A/B testing and canary deployment systems"],"limitations":["Feature flag changes are not immediately reflected in all clients; requires cache invalidation","No built-in analytics for feature flag usage; requires separate instrumentation","Rollout percentages are deterministic based on user ID; cannot be changed mid-rollout without affecting consistency","No support for feature flag dependencies or conditional flags"],"requires":["InstantDB feature flag system configured","User context with identity for flag evaluation","MCP client with configuration management capability"],"input_types":["feature flag names and identifiers","user context for flag evaluation","rollout configuration (percentage, cohorts)"],"output_types":["feature flag evaluation results","flag configuration and rollout status","flag change confirmations"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-instantdb__cap_9","uri":"capability://automation.workflow.mcp.mediated.transaction.coordination.with.conflict.detection.and.resolution","name":"mcp-mediated transaction coordination with conflict detection and resolution","description":"Exposes InstantDB's transaction system through MCP with support for detecting and resolving conflicts when multiple agents or users modify the same data concurrently. Implements conflict detection that identifies when mutations overlap, provides detailed conflict information (which attributes changed, by whom, when), and enables AI agents to implement custom conflict resolution strategies (merge, override, or defer).","intents":["I want an AI agent to detect when another user has modified data it's working with","I need Claude to implement intelligent conflict resolution for concurrent edits","I want to build a collaborative AI system that handles simultaneous mutations gracefully"],"best_for":["AI agents in collaborative environments with concurrent mutations","Teams building AI-powered conflict resolution systems","Developers creating AI-assisted collaborative editing tools"],"limitations":["Conflict detection is based on attribute-level changes; no semantic conflict detection","Conflict resolution is manual; no automatic merge strategies for complex conflicts","Conflict information is only available after mutations are attempted; no pre-flight conflict prediction","No support for multi-version concurrency control (MVCC); conflicts are binary (success or failure)"],"requires":["InstantDB transaction system with conflict tracking enabled","MCP client with state management for conflict resolution","User context with identity for conflict attribution"],"input_types":["mutations with conflict detection enabled","conflict resolution strategy specification","entity versions and timestamps"],"output_types":["conflict detection results","detailed conflict information (changed attributes, actors)","conflict resolution confirmations"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["InstantDB project with initialized schema","MCP client implementation (Claude Desktop, Cline, or custom MCP host)","Valid InstantDB API credentials or authentication token","InstantDB server with WebSocket support enabled","MCP client with streaming/subscription capability","Valid authentication token with query permissions","InstantDB server with mutation permissions configured","MCP client with state management capability","Valid authentication token with write permissions","InstantDB schema with CEL permission rules defined"],"failure_modes":["Schema introspection is read-only through MCP — mutations require separate InstantDB SDK calls","No real-time schema change notifications through MCP; requires polling or separate WebSocket connection","CEL-based permission rules are not fully exposed through MCP, limiting AI understanding of access control","InstaQL query complexity is limited by Datalog expressiveness — no arbitrary aggregations or window functions","Real-time subscription overhead increases with query complexity; deeply nested queries may cause latency","MCP message size limits may constrain result sets for large queries; pagination required for big datasets","Optimistic updates are local to the MCP client; other clients won't see them until server confirmation","Mutation rollback on server rejection requires manual reconciliation logic in the AI agent","Permissioned mutations (CEL-based access control) may fail after optimistic application, requiring conflict resolution","No built-in undo/redo for optimistic mutations; requires explicit state management","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"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":"2026-06-17T09:51:03.042Z","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=instantdb","compare_url":"https://unfragile.ai/compare?artifact=instantdb"}},"signature":"PtQZ7Ts483P9tuhSmNAuyokszwtncKaUyJn2ZVuCkrrDbeRWP7nUioOQgo3Ha4NlqGoAArEKwCVwN/KJ8DBzCA==","signedAt":"2026-06-19T23:49:34.438Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/instantdb","artifact":"https://unfragile.ai/instantdb","verify":"https://unfragile.ai/api/v1/verify?slug=instantdb","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"}}