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The MCP server translates tool calls into Firebase SDK calls, handling authentication via service account credentials and managing connection pooling to the Firestore backend.","intents":["I need to programmatically create and manage Firestore documents from my AI agent without writing Firebase SDK boilerplate","I want to perform atomic multi-document updates across Firestore collections from an LLM-driven workflow","I need to query and retrieve Firestore data with filtering and ordering constraints through natural language tool invocation"],"best_for":["AI agents and LLM applications requiring persistent data storage in Firestore","Teams building multi-agent systems that need coordinated database access","Developers integrating Firebase as a backend for Claude/LLM-powered applications"],"limitations":["No built-in pagination — large result sets must be handled via client-side chunking or explicit limit/offset parameters","Transaction support limited to sequential operations; no cross-shard distributed transactions","Real-time listeners (onSnapshot) not exposed through MCP tools — only point-in-time reads","Batch write size capped at Firestore's 500-document limit per batch"],"requires":["Firebase project with Firestore database initialized","Service account JSON key file with appropriate IAM permissions (Firestore Editor or custom role)","MCP client compatible with tool calling (Claude, Anthropic SDK, or compatible LLM framework)","Node.js 16+ runtime for the MCP server process"],"input_types":["JSON document objects","Query filter objects with field/operator/value tuples","Collection path strings","Document ID strings"],"output_types":["JSON document data with metadata (createdAt, updatedAt timestamps)","Query result arrays with document snapshots","Operation status objects (success/error with error codes)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_1","uri":"capability://tool.use.integration.firebase.authentication.user.management.via.mcp.tools","name":"firebase authentication user management via mcp tools","description":"Provides user creation, deletion, password reset, and metadata management operations through MCP tool bindings to Firebase Authentication. The server uses Firebase Admin SDK's auth module to perform identity operations, supporting custom claims assignment, email verification, and user attribute updates. Tool calls are translated to Admin SDK methods with proper error handling for auth-specific exceptions like duplicate emails or invalid credentials.","intents":["I need to programmatically create user accounts in Firebase Auth from an AI workflow without direct SDK access","I want to assign custom claims or roles to users through an LLM-driven admin interface","I need to reset user passwords or disable accounts based on agent-driven business logic"],"best_for":["AI-powered admin dashboards that manage user lifecycle through natural language commands","Multi-tenant SaaS applications using Firebase Auth with agent-driven user provisioning","Automated onboarding workflows triggered by LLM agents"],"limitations":["No support for custom authentication providers or federated identity flows — only email/password, phone, and OAuth provider management","Custom claims updates require full user object refresh; no partial claim updates","Password reset links must be generated separately; MCP tools cannot directly set passwords for existing users","User search/list operations limited to pagination; no full-text search on user attributes"],"requires":["Firebase project with Authentication enabled","Service account with 'Firebase Authentication Admin' IAM role","Service account JSON key file accessible to MCP server process","Node.js 16+ runtime"],"input_types":["Email address strings","Password strings","Custom claims objects (JSON)","User metadata objects (displayName, photoURL, etc.)"],"output_types":["User UID strings","User object with auth metadata (createdAt, lastSignIn, etc.)","Operation status with error details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_2","uri":"capability://tool.use.integration.cloud.storage.file.upload.download.and.metadata.management","name":"cloud storage file upload, download, and metadata management","description":"Enables file operations on Google Cloud Storage buckets through MCP tools that wrap Firebase Admin SDK's storage module. Supports uploading files with custom metadata, downloading files with streaming, deleting objects, and listing bucket contents with filtering. The MCP server manages authentication via service account credentials and handles multipart uploads for large files, translating tool calls into GCS API operations with proper error handling for quota and permission issues.","intents":["I need to upload files generated by an AI agent to Cloud Storage without managing GCS SDK initialization","I want to retrieve and process files from Cloud Storage in an LLM-driven workflow","I need to manage file metadata and organize storage buckets through agent-driven operations"],"best_for":["AI agents generating documents, images, or reports that need persistent cloud storage","Multi-agent systems coordinating file sharing through Cloud Storage","LLM applications requiring artifact storage with versioning and metadata tracking"],"limitations":["No built-in versioning — overwrites replace files; version history requires separate GCS versioning configuration","Streaming downloads not fully exposed; large files must be downloaded in chunks via client-side logic","No support for signed URLs or time-limited access tokens through MCP tools","File size limits depend on MCP message size constraints; very large files (>100MB) may require chunked uploads"],"requires":["Google Cloud Storage bucket created and linked to Firebase project","Service account with 'Storage Object Admin' IAM role","Service account JSON key file","Node.js 16+ runtime"],"input_types":["File content as base64-encoded strings or binary buffers","File paths/object names as strings","Metadata objects (contentType, custom metadata key-value pairs)","Bucket names as strings"],"output_types":["File content as base64-encoded strings","File metadata objects (size, contentType, timeCreated, etc.)","List of objects with metadata","Operation status with error details"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_3","uri":"capability://tool.use.integration.realtime.database.read.write.and.listener.management","name":"realtime database read, write, and listener management","description":"Provides operations on Firebase Realtime Database through MCP tools that map to Admin SDK database methods. Supports reading data at paths, writing/updating values with optional validation rules, deleting nodes, and managing real-time listeners. The MCP server translates tool calls to RTDB API operations, handling JSON serialization, path-based access control via security rules, and connection management to the RTDB backend.","intents":["I need to read and write data to Realtime Database from an AI agent without managing SDK connections","I want to perform atomic updates across multiple RTDB paths in a single operation","I need to subscribe to real-time data changes and trigger agent actions based on database events"],"best_for":["AI agents requiring low-latency data access for real-time applications","Multi-agent systems coordinating state through Realtime Database","LLM-driven applications with live data synchronization requirements"],"limitations":["Real-time listeners (onValue) have limited exposure through MCP — polling-based reads recommended for agent workflows","No support for complex queries; filtering must be done client-side after reading data","Transaction support limited to compare-and-set operations; no multi-path transactions","Data size limits per write operation (16MB max); large datasets require chunking"],"requires":["Firebase project with Realtime Database initialized","Service account with 'Firebase Realtime Database Admin' IAM role","Service account JSON key file","Node.js 16+ runtime"],"input_types":["JSON values (objects, arrays, primitives)","Database path strings","Update objects with path-value mappings"],"output_types":["JSON data at requested paths","Operation status with error details","Snapshot objects with metadata (exists, numChildren, etc.)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_4","uri":"capability://tool.use.integration.mcp.tool.schema.generation.and.validation","name":"mcp tool schema generation and validation","description":"Automatically generates MCP-compliant tool schemas for all Firebase operations (Firestore CRUD, Auth, Storage, RTDB) and validates incoming tool calls against these schemas. The server implements JSON Schema validation for tool parameters, ensuring type safety and providing detailed error messages for invalid inputs. Tool schemas are exposed through the MCP protocol's tool listing endpoint, allowing clients to discover available operations and their parameter requirements.","intents":["I need to discover what Firebase operations are available through the MCP server without reading documentation","I want type-safe tool calling with validation that prevents malformed Firebase operations","I need to generate client-side code stubs based on the MCP server's tool schemas"],"best_for":["LLM clients (Claude, etc.) that use tool discovery to understand available operations","Developers building MCP client libraries that need schema introspection","Teams implementing type-safe agent frameworks with schema validation"],"limitations":["Schema generation is static — does not reflect runtime configuration or user-specific permissions","Validation occurs at the MCP server level; Firebase-specific validation (e.g., security rules) happens downstream","No support for conditional schemas based on feature flags or Firebase project configuration"],"requires":["MCP client that supports tool discovery (most modern LLM frameworks)","MCP server running and accessible to the client"],"input_types":["Tool call requests with parameters"],"output_types":["Tool schema objects (JSON Schema format)","Validation error messages with field-level details"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_5","uri":"capability://tool.use.integration.service.account.credential.management.and.connection.pooling","name":"service account credential management and connection pooling","description":"Manages Firebase service account authentication and maintains pooled connections to Firebase services (Firestore, Auth, Storage, RTDB) through a centralized credential handler. The MCP server loads service account JSON keys, initializes Firebase Admin SDK with proper configuration, and reuses authenticated connections across multiple tool calls. This eliminates per-call authentication overhead and ensures consistent identity context for all Firebase operations.","intents":["I need a single MCP server to handle authentication for all Firebase services without managing credentials in agent code","I want to avoid re-authenticating for each Firebase operation to reduce latency","I need to rotate service account credentials without restarting agents or clients"],"best_for":["Multi-agent systems requiring centralized Firebase credential management","Production deployments where credential security and rotation are critical","Teams running shared MCP servers for multiple agents or clients"],"limitations":["Credentials must be provided as environment variables or file paths; no dynamic credential fetching from secret managers","No built-in credential rotation — requires manual restart or external orchestration","Connection pooling is per-process; distributed MCP servers do not share connection pools","Service account must have broad permissions; no fine-grained per-tool permission scoping"],"requires":["Firebase service account JSON key file","Environment variable or file path pointing to service account credentials","Node.js 16+ runtime with file system access"],"input_types":["Service account JSON key (loaded at startup)"],"output_types":["Authenticated Firebase Admin SDK instances (internal to MCP server)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_6","uri":"capability://tool.use.integration.error.handling.and.firebase.specific.exception.translation","name":"error handling and firebase-specific exception translation","description":"Translates Firebase Admin SDK exceptions (auth errors, permission denied, quota exceeded, etc.) into structured error responses that are returned through MCP tool call results. The server catches Firebase-specific exceptions, extracts error codes and messages, and provides actionable error details to clients. This enables agents to handle Firebase failures gracefully and implement retry logic based on error types.","intents":["I need to understand why a Firebase operation failed and decide whether to retry or escalate","I want my agent to handle permission errors differently from quota errors","I need detailed error messages that help me debug Firebase configuration issues"],"best_for":["Agents implementing sophisticated error handling and retry strategies","Teams debugging Firebase integration issues in production","LLM applications requiring graceful degradation when Firebase operations fail"],"limitations":["Error translation is limited to Firebase Admin SDK exceptions; network errors or MCP protocol errors may not be fully captured","Error messages are Firebase-specific; no normalization across different error types","No built-in retry logic — agents must implement their own retry strategies based on error codes"],"requires":["MCP client that can parse structured error responses"],"input_types":["Firebase Admin SDK exceptions (internal)"],"output_types":["Structured error objects with error code, message, and metadata"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__cap_7","uri":"capability://tool.use.integration.mcp.protocol.compliance.and.tool.call.routing","name":"mcp protocol compliance and tool call routing","description":"Implements the Model Context Protocol (MCP) server specification, handling tool call requests from MCP clients, routing them to appropriate Firebase operation handlers, and returning results in MCP-compliant format. The server manages the MCP transport layer (stdio, HTTP, or other transports), parses incoming tool call messages, invokes the corresponding Firebase operation, and serializes results back to the client in MCP format.","intents":["I need to use Firebase operations from an MCP-compatible client like Claude without custom integration code","I want to route tool calls from my LLM to the appropriate Firebase service handler","I need to ensure my MCP server is compatible with standard MCP clients and frameworks"],"best_for":["LLM applications using Claude or other MCP-compatible clients","Teams building MCP-based agent frameworks","Developers integrating Firebase with standard MCP tooling"],"limitations":["MCP protocol version support depends on server implementation; may not support all MCP extensions","Tool call routing is synchronous; no support for streaming or long-running operations","Transport layer support depends on server configuration; not all MCP transports may be available"],"requires":["MCP-compatible client (Claude, Anthropic SDK, or compatible framework)","MCP server running and accessible to the client","Node.js 16+ runtime"],"input_types":["MCP tool call messages with tool name and parameters"],"output_types":["MCP tool result messages with operation results or errors"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"firebase-mcp-server__headline","uri":"capability://tool.use.integration.mcp.server.for.google.firebase","name":"mcp server for google firebase","description":"A community-driven MCP server designed specifically for the Google Firebase platform, offering essential tools for Firestore CRUD operations, user authentication, Cloud Storage management, and Realtime Database interactions.","intents":["best MCP server for Firebase","MCP server for Firestore management","community MCP server for Google Firebase","Firebase server for user authentication","best tools for Firebase Cloud Storage"],"best_for":["developers using Firebase","community-driven projects"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":63,"verified":false,"data_access_risk":"high","permissions":["Firebase project with Firestore database initialized","Service account JSON key file with appropriate IAM permissions (Firestore Editor or custom role)","MCP client compatible with tool calling (Claude, Anthropic SDK, or compatible LLM framework)","Node.js 16+ runtime for the MCP server process","Firebase project with Authentication enabled","Service account with 'Firebase Authentication Admin' IAM role","Service account JSON key file accessible to MCP server process","Node.js 16+ runtime","Google Cloud Storage bucket created and linked to Firebase project","Service account with 'Storage Object Admin' IAM role"],"failure_modes":["No built-in pagination — large result sets must be handled via client-side chunking or explicit limit/offset parameters","Transaction support limited to sequential operations; 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