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The server implements MCP's resource and tool schemas to map Firefly III REST API operations into LLM-accessible functions, handling authentication, request translation, and response serialization between the MCP protocol layer and Firefly III's backend.","intents":["I want to give Claude or another LLM access to my Firefly III financial data without exposing API keys directly to the LLM","I need to build an AI agent that can read my transactions, accounts, and budgets from Firefly III","I want to query my financial data using natural language through an LLM while keeping the data server-side"],"best_for":["developers building LLM agents for personal finance management","users wanting to integrate Firefly III with Claude Desktop or other MCP-compatible clients","teams building AI-powered financial analysis tools on top of Firefly III"],"limitations":["Requires running a separate Node.js process to host the MCP server — adds infrastructure complexity vs direct API access","MCP protocol overhead adds latency compared to direct REST calls; each LLM request may require multiple round-trips through the MCP layer","Limited to read-only operations or write operations exposed via MCP tools — not all Firefly III API capabilities may be surfaced","No built-in caching or request batching — high-frequency queries may hit rate limits on the underlying Firefly III instance"],"requires":["Node.js 16+ (typical MCP server requirement)","Running Firefly III instance with accessible API endpoint","Firefly III API token or authentication credentials","MCP-compatible client (Claude Desktop, LLM framework with MCP support, etc.)"],"input_types":["MCP protocol requests (JSON-RPC over stdio or HTTP)","Natural language queries from LLM clients","Tool invocation requests with parameters"],"output_types":["Structured financial data (transactions, accounts, budgets, categories)","MCP resource representations","Tool execution results as JSON"],"categories":["tool-use-integration","mcp-server"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-firefly-iii-mcpserver__cap_1","uri":"capability://tool.use.integration.firefly.iii.rest.api.translation.to.mcp.tools","name":"firefly iii rest api translation to mcp tools","description":"Translates Firefly III REST API endpoints into MCP-compliant tool definitions with schema validation, parameter mapping, and response transformation. The server introspects or pre-defines Firefly III operations (list transactions, create accounts, update budgets, etc.) and wraps them as MCP tools with JSON Schema specifications, enabling LLMs to discover and invoke financial operations through standard tool-calling mechanisms.","intents":["I want my LLM to be able to list my transactions, accounts, and budgets without writing custom API code","I need the LLM to understand what financial operations are available and their required parameters","I want type-safe, schema-validated financial operations exposed to the LLM"],"best_for":["developers building financial AI agents with schema-driven tool calling","users wanting LLM-native access to Firefly III operations without API knowledge","teams implementing financial automation workflows via LLM agents"],"limitations":["Only exposes Firefly III operations that are explicitly mapped to MCP tools — not all REST endpoints may be available","Schema validation adds processing overhead per tool invocation","Error handling and edge cases depend on how thoroughly the tool definitions cover Firefly III's API behavior","No automatic schema generation — tool definitions must be manually maintained as Firefly III API evolves"],"requires":["Firefly III API documentation or introspection to define tool schemas","MCP server implementation with tool registry support","LLM client capable of tool calling (Claude, GPT-4, etc.)"],"input_types":["Tool invocation requests with parameters matching JSON Schema","Financial operation names and arguments from LLM"],"output_types":["Tool execution results as structured JSON","Financial data (transactions, accounts, budgets, etc.)","Operation confirmations or error messages"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-firefly-iii-mcpserver__cap_2","uri":"capability://memory.knowledge.firefly.iii.resource.exposure.via.mcp.resources","name":"firefly iii resource exposure via mcp resources","description":"Exposes Firefly III financial entities (transactions, accounts, budgets, categories) as MCP resources with URI-based addressing and content retrieval. The server implements MCP's resource protocol to allow LLM clients to request and stream financial data by resource URI, enabling context-aware access to specific financial records without requiring tool invocations for simple data retrieval.","intents":["I want the LLM to access my transaction history or account details by referencing them as resources","I need to provide the LLM with financial context (e.g., current account balances) without explicit tool calls","I want the LLM to be able to browse my financial data structure and retrieve specific records"],"best_for":["developers building financial analysis agents that need rich context about accounts and transactions","users wanting LLMs to reference financial data in natural conversation without tool-calling overhead","teams implementing financial reporting or analysis workflows with LLM agents"],"limitations":["Resource-based access may be slower than direct tool calls for bulk data retrieval — each resource request incurs MCP protocol overhead","Resource URIs must be pre-known or discovered via tool calls — no built-in resource browsing/listing in base MCP spec","Large financial datasets (thousands of transactions) may be inefficient to expose as individual resources","No built-in pagination or filtering at the resource level — filtering must happen at the tool level"],"requires":["MCP server implementation with resource protocol support","Firefly III API access to retrieve resource content","LLM client capable of resource requests (Claude, etc.)"],"input_types":["MCP resource URIs (e.g., firefly-iii://transaction/123)","Resource list requests"],"output_types":["Financial data in structured format (JSON, text)","Transaction details, account summaries, budget information"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-firefly-iii-mcpserver__cap_3","uri":"capability://safety.moderation.authentication.and.credential.management.for.firefly.iii.access","name":"authentication and credential management for firefly iii access","description":"Manages authentication between the MCP server and Firefly III backend, handling API token storage, credential validation, and secure request signing. The server implements credential management patterns (environment variables, config files, or secure stores) to authenticate with Firefly III's API without exposing credentials to LLM clients, ensuring that financial data access is properly authorized and audited.","intents":["I want to securely provide my Firefly III API credentials to the MCP server without exposing them to the LLM","I need the server to authenticate with my Firefly III instance and manage token refresh if needed","I want to ensure only authorized requests reach my financial data"],"best_for":["users deploying MCP servers in shared or cloud environments where credential security is critical","developers building multi-tenant financial AI systems with per-user Firefly III instances","teams implementing financial data access with audit and compliance requirements"],"limitations":["Credential management adds complexity — misconfiguration can expose API tokens","No built-in support for multi-user or multi-account scenarios — typically one credential set per server instance","Token refresh logic must be implemented and tested — expired tokens will cause silent failures","Environment variable or config file storage is less secure than dedicated secret management systems (Vault, AWS Secrets Manager)"],"requires":["Firefly III API token or authentication credentials","Secure storage mechanism (environment variables, .env files, or secret manager)","Node.js process with access to credential storage"],"input_types":["API credentials (token, username/password, etc.)","Configuration files or environment variables"],"output_types":["Authenticated HTTP requests to Firefly III","Authorization headers and request signatures"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-firefly-iii-mcpserver__cap_4","uri":"capability://automation.workflow.request.routing.and.error.handling.for.firefly.iii.operations","name":"request routing and error handling for firefly iii operations","description":"Routes MCP tool invocations and resource requests to appropriate Firefly III API endpoints, handles HTTP errors, and transforms responses back into MCP-compliant formats. The server implements request/response mapping logic that translates MCP parameters into Firefly III REST calls, catches API errors (rate limits, authentication failures, validation errors), and returns meaningful error messages to LLM clients without exposing internal API details.","intents":["I want the MCP server to handle API errors gracefully and provide helpful error messages to the LLM","I need the server to translate between MCP tool parameters and Firefly III REST API formats","I want to ensure that failed Firefly III requests don't crash the MCP server or leave it in an inconsistent state"],"best_for":["developers building robust financial AI agents that need reliable error handling","users deploying MCP servers in production where uptime and error recovery are critical","teams implementing financial workflows that require transaction safety and error logging"],"limitations":["Error handling complexity increases with Firefly III API surface — not all error cases may be anticipated","Rate limiting from Firefly III is not automatically handled — server may need backoff/retry logic","Response transformation adds latency — large financial datasets may be slow to serialize and return","No built-in transaction rollback — if a multi-step operation fails partway through, manual cleanup may be needed"],"requires":["Firefly III API error documentation to map error codes to user-friendly messages","HTTP client library with error handling (Node.js built-in, axios, fetch, etc.)","Logging infrastructure for debugging failed requests"],"input_types":["MCP tool invocation requests with parameters","HTTP responses from Firefly III API"],"output_types":["Transformed financial data in MCP format","Error messages and status codes","Logs of failed requests for debugging"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-firefly-iii-mcpserver__cap_5","uri":"capability://automation.workflow.mcp.server.lifecycle.and.process.management","name":"mcp server lifecycle and process management","description":"Manages the MCP server process lifecycle including startup initialization, configuration loading, resource/tool registration, request handling loop, and graceful shutdown. Implements MCP server protocol compliance (handshake, capability negotiation, message routing) and handles concurrent client connections with proper error recovery and logging.","intents":["Start the MCP server as a standalone service","Configure server behavior through environment variables or config files","Handle multiple concurrent MCP client connections","Shut down the server gracefully without losing in-flight requests"],"best_for":["DevOps engineers deploying MCP servers in production","Developers running MCP servers locally for testing","Teams managing MCP server infrastructure"],"limitations":["Single-process architecture — no built-in horizontal scaling","No persistent state — server restart loses in-memory context","Configuration changes require server restart","Logging is basic — no structured logging or log aggregation","No health check endpoints — monitoring requires external probes"],"requires":["Node.js runtime (16+)","MCP server library/framework","Process manager (systemd, Docker, PM2) for production deployment"],"input_types":["Environment variables","Configuration files","MCP protocol messages from clients"],"output_types":["Server startup status","MCP protocol responses","Log output"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (typical MCP server requirement)","Running Firefly III instance with accessible API endpoint","Firefly III API token or authentication credentials","MCP-compatible client (Claude Desktop, LLM framework with MCP support, etc.)","Firefly III API documentation or introspection to define tool schemas","MCP server implementation with tool registry support","LLM client capable of tool calling (Claude, GPT-4, etc.)","MCP server implementation with resource protocol support","Firefly III API access to retrieve resource content","LLM client capable of resource requests (Claude, etc.)"],"failure_modes":["Requires running a separate Node.js process to host the MCP server — adds infrastructure complexity vs direct API access","MCP protocol overhead adds latency compared to direct REST calls; each LLM request may require multiple round-trips through the MCP layer","Limited to read-only operations or write operations exposed via MCP tools — not all Firefly III API capabilities may be surfaced","No built-in caching or request batching — high-frequency queries may hit rate limits on the underlying Firefly III instance","Only exposes Firefly III operations that are explicitly mapped to MCP tools — not all REST endpoints may be available","Schema validation adds processing overhead per tool invocation","Error handling and edge cases depend on how thoroughly the tool definitions cover Firefly III's API behavior","No automatic schema generation — tool definitions must be manually maintained as Firefly III API evolves","Resource-based access may be slower than direct tool calls for bulk data retrieval — each resource request incurs MCP protocol overhead","Resource URIs must be pre-known or discovered via tool calls — no built-in resource browsing/listing in base MCP spec","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.45,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:53.349Z","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=npm-firefly-iii-mcpserver","compare_url":"https://unfragile.ai/compare?artifact=npm-firefly-iii-mcpserver"}},"signature":"Tzt5D5ZmkATtM9/IW5PW6jH6YRb035wupi6grbwxpw3IApj8upVple7luZ8wh9/dXJSl+7f8WJNJZK9bd9dmBg==","signedAt":"2026-06-20T06:58:20.100Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-firefly-iii-mcpserver","artifact":"https://unfragile.ai/npm-firefly-iii-mcpserver","verify":"https://unfragile.ai/api/v1/verify?slug=npm-firefly-iii-mcpserver","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"}}