{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server","slug":"vijitdaroch-financial-modeling-prep-mcp-server","name":"Financial Modeling Prep MCP Server","type":"mcp","url":"https://site.financialmodelingprep.com/","page_url":"https://unfragile.ai/vijitdaroch-financial-modeling-prep-mcp-server","categories":["mcp-servers","rag-knowledge"],"tags":["mcp","model-context-protocol","smithery:vijitdaroch/financial-modeling-prep-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server__cap_0","uri":"capability://data.processing.analysis.dynamic.financial.data.retrieval","name":"dynamic financial data retrieval","description":"This capability allows real-time access to a wide array of financial data by leveraging a dynamic tool loading mechanism. It utilizes a modular architecture that enables the server to load only the necessary tools based on user queries, optimizing performance and reducing latency. This approach ensures that users can access the most relevant data without unnecessary overhead, making it distinct from static data retrieval systems.","intents":["How can I get real-time stock prices for multiple companies?","What are the latest financial metrics for a specific company?","Can I retrieve historical financial statements for analysis?"],"best_for":["financial analysts needing up-to-date market insights"],"limitations":["Dependent on external market data sources which may have rate limits","Latency may vary based on network conditions"],"requires":["API key for Financial Modeling Prep","Internet connection"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","financial-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server__cap_1","uri":"capability://data.processing.analysis.advanced.financial.metrics.calculation","name":"advanced financial metrics calculation","description":"This capability computes complex financial metrics such as P/E ratios, EBITDA, and other key performance indicators in real-time. It employs a set of predefined algorithms that can be dynamically invoked based on user requests, allowing for tailored financial analysis. This modular approach enables users to access a wide range of calculations without needing to implement them from scratch.","intents":["How can I calculate the P/E ratio for a selected stock?","What is the EBITDA for a company based on its latest financial statements?","Can I get a comprehensive analysis of key financial ratios?"],"best_for":["financial analysts and investors looking for quick calculations"],"limitations":["Accuracy depends on the quality of the underlying data","Some metrics may require multiple data points that are not always available"],"requires":["API key for Financial Modeling Prep","Internet connection"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","financial-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server__cap_2","uri":"capability://data.processing.analysis.static.financial.statement.access","name":"static financial statement access","description":"This capability provides access to historical financial statements in a structured format, allowing users to retrieve and analyze past performance data. It uses a caching mechanism to store frequently accessed statements, improving retrieval speed and efficiency. This design choice allows users to quickly access relevant data without repeatedly querying the primary data source.","intents":["How can I access the last five years of financial statements for a company?","Can I download historical financial data for offline analysis?","What are the key figures in the last quarterly report?"],"best_for":["researchers and analysts needing historical data for trend analysis"],"limitations":["Historical data may not be available for all companies","Caching may lead to outdated information if not refreshed regularly"],"requires":["API key for Financial Modeling Prep","Internet connection"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","financial-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server__cap_3","uri":"capability://data.processing.analysis.market.insights.aggregation","name":"market insights aggregation","description":"This capability aggregates market insights from various sources and presents them in a cohesive format. It employs a multi-source data integration approach, pulling in information from news articles, analyst reports, and market trends to provide a comprehensive overview. This aggregation allows users to gain insights without having to consult multiple platforms, streamlining the analysis process.","intents":["What are the latest market trends affecting my investments?","Can I get a summary of analyst opinions on a specific stock?","How do current events influence market performance?"],"best_for":["investors and traders looking for consolidated market information"],"limitations":["Insights may vary in reliability based on source credibility","Real-time updates depend on the frequency of data refreshes"],"requires":["API key for Financial Modeling Prep","Internet connection"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","financial-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_vijitdaroch-financial-modeling-prep-mcp-server__cap_4","uri":"capability://tool.use.integration.tool.orchestration.for.financial.analysis","name":"tool orchestration for financial analysis","description":"This capability orchestrates the use of multiple financial tools to perform complex analyses. It employs a model-context-protocol (MCP) architecture that allows different tools to communicate and share data seamlessly. This orchestration enables users to chain together various analyses, enhancing the depth and breadth of financial insights available.","intents":["How can I combine different financial tools for a comprehensive analysis?","Can I create a workflow that uses multiple financial metrics and data sources?","What is the best way to automate my financial reporting process?"],"best_for":["financial analysts looking to streamline their analysis workflows"],"limitations":["Complex workflows may introduce latency","Requires familiarity with the MCP architecture for optimal use"],"requires":["API key for Financial Modeling Prep","Internet connection"],"input_types":["text"],"output_types":["structured data"],"categories":["tool-use-integration","financial-tools"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"moderate","permissions":["API key for Financial Modeling Prep","Internet connection"],"failure_modes":["Dependent on external market data sources which may have rate limits","Latency may vary based on network conditions","Accuracy depends on the quality of the underlying data","Some metrics may require multiple data points that are not always available","Historical data may not be available for all companies","Caching may lead to outdated information if not refreshed regularly","Insights may vary in reliability based on source credibility","Real-time updates depend on the frequency of data refreshes","Complex workflows may introduce latency","Requires familiarity with the MCP architecture for optimal use","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.49000000000000005,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:28.693Z","last_scraped_at":"2026-05-03T15:19:16.962Z","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=vijitdaroch-financial-modeling-prep-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=vijitdaroch-financial-modeling-prep-mcp-server"}},"signature":"IJT084kIOeYMpj1MHu4ZfofqtkpfoWDQSDF65DiH/uR/XdOI9Gew9R0V3XM+HByVU13U1t7vD8NsGAQxHN1zCQ==","signedAt":"2026-06-22T03:03:26.492Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vijitdaroch-financial-modeling-prep-mcp-server","artifact":"https://unfragile.ai/vijitdaroch-financial-modeling-prep-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=vijitdaroch-financial-modeling-prep-mcp-server","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"}}