{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-israel-statistics-mcp","slug":"israel-statistics-mcp","name":"Israel Statistics MCP","type":"mcp","url":"https://github.com/reuvenaor/israel-statistics-mcp","page_url":"https://unfragile.ai/israel-statistics-mcp","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-israel-statistics-mcp__cap_0","uri":"capability://tool.use.integration.israeli.cbs.price.index.data.retrieval.via.mcp.protocol","name":"israeli cbs price index data retrieval via mcp protocol","description":"Exposes Israeli Central Bureau of Statistics price indices through the Model Context Protocol (MCP), enabling LLM agents and applications to query economic indicators like CPI, housing costs, and commodity prices via standardized MCP tool calls. The server implements MCP resource and tool endpoints that translate natural language queries into CBS API requests, parse structured statistical responses, and return formatted data to the calling client.","intents":["Query current or historical Israeli CPI and inflation data programmatically","Retrieve specific price indices for housing, food, energy, or other commodity categories","Integrate Israeli economic statistics into LLM-powered analysis or reporting workflows","Build agents that can autonomously fetch and contextualize Israeli economic data for decision-making"],"best_for":["LLM application developers building Israeli market analysis tools","AI agents requiring real-time access to Israeli economic indicators","Teams building multi-source economic data aggregation systems with MCP","Researchers and analysts automating Israeli statistical data collection"],"limitations":["Limited to CBS-published indices; no real-time market data or forward-looking forecasts","Data freshness depends on CBS publication schedule (typically monthly or quarterly lags)","MCP protocol overhead adds latency compared to direct REST API calls","No built-in caching or persistence layer — each query hits the CBS API directly","Language support limited to Hebrew/English based on CBS API capabilities"],"requires":["MCP client implementation (Claude Desktop, LangChain MCP integration, or custom MCP runner)","Network access to Israeli CBS API endpoints","Node.js 16+ or Python 3.8+ (depending on server implementation language)","Understanding of MCP protocol for tool/resource invocation"],"input_types":["natural language queries (e.g., 'What is the current CPI?')","structured MCP tool calls with parameters (index type, date range, category)"],"output_types":["JSON-formatted statistical data","structured price index values with metadata (publication date, category, percentage change)","time-series data for historical trend analysis"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_1","uri":"capability://tool.use.integration.mcp.tool.schema.generation.for.cbs.statistical.queries","name":"mcp tool schema generation for cbs statistical queries","description":"Automatically generates MCP-compliant tool schemas that map CBS API parameters (index type, date range, category filters) into callable functions with proper type validation, descriptions, and required/optional field declarations. The server introspects available CBS indices and constructs tool definitions that LLM clients can invoke, handling parameter marshaling and response formatting transparently.","intents":["Enable LLM agents to discover available CBS indices and query parameters without manual documentation","Provide type-safe function calling for statistical queries with validation before API calls","Allow Claude and other MCP clients to auto-complete and validate CBS data requests","Reduce friction for developers integrating CBS data by exposing a self-describing API surface"],"best_for":["LLM application developers unfamiliar with CBS API structure","Teams building multi-agent systems requiring standardized data access patterns","Non-technical users leveraging Claude with economic data analysis capabilities"],"limitations":["Schema generation depends on CBS API stability; breaking changes require server updates","Complex filtering logic (e.g., multi-category queries) may not map cleanly to simple tool parameters","No dynamic schema updates — requires server restart to reflect new CBS indices","Tool descriptions limited by MCP schema verbosity constraints"],"requires":["MCP server implementation with tool definition support","CBS API documentation or metadata endpoint for index discovery","JSON Schema validation library for parameter type checking"],"input_types":["MCP tool call requests with typed parameters"],"output_types":["MCP tool result objects with structured statistical data","error responses with validation details if parameters are invalid"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_2","uri":"capability://data.processing.analysis.cbs.api.response.parsing.and.normalization.to.mcp.format","name":"cbs api response parsing and normalization to mcp format","description":"Transforms raw CBS API responses (typically XML or JSON with Hebrew field names and nested structures) into normalized MCP-compatible JSON with English field names, flattened hierarchies, and consistent timestamp/numeric formatting. The parser handles CBS-specific quirks like multiple index versions, seasonal adjustments, and metadata fields, presenting a clean interface to MCP clients.","intents":["Convert CBS API responses into consistent, predictable JSON structures for LLM consumption","Handle Hebrew-language field names and category labels by mapping to English equivalents","Extract and normalize time-series data for trend analysis and comparison","Provide metadata (publication date, revision status, data quality flags) alongside statistical values"],"best_for":["Developers building LLM-powered analysis tools that need clean, normalized economic data","Teams requiring consistent data formats across multiple CBS indices","Applications serving non-Hebrew-speaking users who need English-labeled statistical outputs"],"limitations":["Normalization logic is CBS-specific; changes to CBS API response structure require parser updates","Lossy transformation possible if CBS metadata is discarded during normalization","No support for advanced CBS features (e.g., seasonal adjustment toggles) if not explicitly mapped","Parsing latency adds ~50-200ms per response depending on data volume"],"requires":["XML or JSON parsing library (depending on CBS API format)","Mapping tables for Hebrew-to-English field name translation","Timestamp parsing library supporting CBS date formats"],"input_types":["raw CBS API responses (XML or JSON)"],"output_types":["normalized JSON with English field names","flattened time-series arrays","structured metadata objects"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_3","uri":"capability://memory.knowledge.mcp.resource.discovery.for.available.cbs.indices.and.metadata","name":"mcp resource discovery for available cbs indices and metadata","description":"Implements MCP resource endpoints that expose a catalog of available CBS price indices, their descriptions, supported date ranges, and category hierarchies. Clients can query this metadata layer to discover what data is available before making specific statistical queries, enabling agents to dynamically construct appropriate requests based on available resources.","intents":["Allow LLM agents to explore available CBS indices without external documentation","Enable dynamic query construction based on discovered index metadata","Provide category hierarchies and subcategories for filtered statistical queries","Expose date range constraints so agents know valid temporal query windows"],"best_for":["Agents requiring autonomous exploration of economic data landscapes","Applications building dynamic UI/query builders for CBS data access","Teams implementing multi-step reasoning where agents first discover available data, then query it"],"limitations":["Metadata discovery adds latency to initial agent interactions (typically 200-500ms)","Resource catalog must be refreshed if CBS adds new indices; no automatic detection","Metadata caching strategies may serve stale information if CBS updates index definitions","Complex category hierarchies may be difficult to represent in MCP resource format"],"requires":["MCP resource definition support in server implementation","CBS API metadata endpoint or static configuration file listing available indices","Caching layer (optional but recommended) to reduce discovery latency"],"input_types":["MCP resource list requests","MCP resource read requests for specific index metadata"],"output_types":["JSON resource listings with index names, descriptions, and URIs","detailed metadata objects including date ranges, categories, and update frequency"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_4","uri":"capability://data.processing.analysis.historical.price.index.time.series.retrieval.with.date.range.filtering","name":"historical price index time-series retrieval with date range filtering","description":"Enables querying CBS price indices across specified date ranges, returning time-series data with values for each reporting period (typically monthly). The capability handles date range validation, period alignment (e.g., converting arbitrary date ranges to CBS reporting periods), and returns structured arrays of timestamp-value pairs suitable for trend analysis and comparison.","intents":["Retrieve historical CPI or commodity price trends over months or years","Compare price index changes across different time periods for analysis","Build time-series datasets for LLM-powered economic forecasting or trend detection","Analyze seasonal patterns by querying same months across multiple years"],"best_for":["Economic analysts and researchers building historical trend analyses","LLM agents performing time-series reasoning and pattern detection","Applications requiring multi-year price comparisons for decision support"],"limitations":["Date range must align with CBS reporting periods; arbitrary date ranges are rounded to nearest period","Historical data availability varies by index; some indices have limited historical depth","Large date ranges (e.g., 20+ years) may return hundreds of data points, increasing response size","No interpolation for missing periods; gaps in data are returned as-is"],"requires":["CBS API support for date range queries","Date parsing and validation logic","Time-series data structure (array of timestamp-value objects)"],"input_types":["index identifier (e.g., 'CPI', 'housing_costs')","start date and end date (ISO 8601 format or CBS period format)","optional category filter"],"output_types":["time-series arrays with timestamp and value fields","metadata including index name, unit, and data quality flags"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_5","uri":"capability://data.processing.analysis.multi.index.comparison.and.aggregation.for.economic.analysis","name":"multi-index comparison and aggregation for economic analysis","description":"Supports querying multiple CBS indices simultaneously and returning comparative results, enabling analysis of relationships between different economic indicators (e.g., CPI vs housing costs vs food prices). The capability handles index-to-index alignment (ensuring comparable time periods), normalization for different scales, and structured output suitable for correlation or trend comparison.","intents":["Compare price trends across different commodity categories to identify divergent inflation patterns","Analyze relationships between housing costs and overall CPI for economic insights","Build multi-index datasets for LLM-powered economic reasoning and forecasting","Detect which price categories are driving overall inflation changes"],"best_for":["Economic analysts performing comparative index analysis","LLM agents reasoning about multi-factor economic relationships","Applications building comprehensive economic dashboards or reports"],"limitations":["Indices may have different reporting frequencies or periods; alignment requires interpolation or period rounding","Different indices use different base years or scaling; normalization may obscure absolute values","Querying many indices simultaneously increases API call volume and response latency","No built-in statistical correlation or regression; LLM client must perform analysis"],"requires":["Support for multiple index queries in single MCP call or batch request capability","Index alignment logic (period matching, interpolation if needed)","Normalization functions for comparing indices with different scales"],"input_types":["array of index identifiers","shared date range for all indices","optional normalization parameters (base year, scaling method)"],"output_types":["structured object with separate time-series for each index","aligned timestamp arrays enabling direct comparison","metadata including base years and scaling factors for each index"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_6","uri":"capability://search.retrieval.category.based.price.index.filtering.and.hierarchical.navigation","name":"category-based price index filtering and hierarchical navigation","description":"Enables filtering CBS price indices by category (e.g., food, housing, energy, transportation) and navigating hierarchical category structures to identify relevant indices. The capability exposes category taxonomies and supports queries like 'all food-related price indices' or 'housing subcategories', allowing agents to dynamically construct category-specific queries.","intents":["Query price indices for specific commodity categories without knowing exact index names","Explore category hierarchies to understand CBS data organization","Build category-filtered economic analyses (e.g., 'food inflation trends')","Enable agents to autonomously select relevant indices based on analysis goals"],"best_for":["Users unfamiliar with CBS index naming conventions","Agents performing autonomous category-based data selection","Applications building category-filtered economic dashboards or reports"],"limitations":["Category hierarchies are CBS-specific and may not align with user mental models","Some indices may belong to multiple categories; filtering logic must handle ambiguity","Category names are in Hebrew in CBS source; translation quality affects usability","Deep category hierarchies may require multiple API calls to fully explore"],"requires":["CBS category taxonomy (typically provided via metadata API or static configuration)","Hierarchical data structure (tree or graph) representing category relationships","Category-to-index mapping logic"],"input_types":["category name or identifier","optional depth parameter for hierarchical queries"],"output_types":["filtered list of indices matching category criteria","hierarchical category structures with subcategories","category metadata (description, number of indices, update frequency)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-israel-statistics-mcp__cap_7","uri":"capability://data.processing.analysis.real.time.cbs.data.freshness.and.update.status.reporting","name":"real-time cbs data freshness and update status reporting","description":"Tracks and reports metadata about CBS data freshness, including publication dates, revision status, and update frequency for each index. The capability enables clients to assess data recency and confidence, informing LLM reasoning about whether data is current enough for decision-making. Includes detection of revised or preliminary data flags.","intents":["Determine whether CBS data is current enough for time-sensitive economic analysis","Identify preliminary vs final data to assess confidence in statistical results","Track when indices were last updated to inform agent decision-making","Alert users or agents when data is stale or has been revised"],"best_for":["Time-sensitive applications requiring current economic data","LLM agents reasoning about data confidence and reliability","Compliance-focused applications needing audit trails of data versions used"],"limitations":["CBS publication schedule is fixed (typically monthly); no real-time updates available","Revision status metadata may be incomplete or inconsistent across indices","No predictive capability for future publication dates; only historical update patterns","Freshness assessment is relative to CBS publication schedule, not market events"],"requires":["CBS API metadata including publication dates and revision flags","Timestamp tracking for each index query result","Logic to compare current date against last publication date"],"input_types":["index identifier or list of indices"],"output_types":["metadata objects with publication date, revision status, and days-since-update","freshness assessment (e.g., 'current', 'preliminary', 'stale')","expected next publication date if available"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"moderate","permissions":["MCP client implementation (Claude Desktop, LangChain MCP integration, or custom MCP runner)","Network access to Israeli CBS API endpoints","Node.js 16+ or Python 3.8+ (depending on server implementation language)","Understanding of MCP protocol for tool/resource invocation","MCP server implementation with tool definition support","CBS API documentation or metadata endpoint for index discovery","JSON Schema validation library for parameter type checking","XML or JSON parsing library (depending on CBS API format)","Mapping tables for Hebrew-to-English field name translation","Timestamp parsing library supporting CBS date formats"],"failure_modes":["Limited to CBS-published indices; no real-time market data or forward-looking forecasts","Data freshness depends on CBS publication schedule (typically monthly or quarterly lags)","MCP protocol overhead adds latency compared to direct REST API calls","No built-in caching or persistence layer — each query hits the CBS API directly","Language support limited to Hebrew/English based on CBS API capabilities","Schema generation depends on CBS API stability; breaking changes require server updates","Complex filtering logic (e.g., multi-category queries) may not map cleanly to simple tool parameters","No dynamic schema updates — requires server restart to reflect new CBS indices","Tool descriptions limited by MCP schema verbosity constraints","Normalization logic is CBS-specific; changes to CBS API response structure require parser updates","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":1,"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":"2026-06-17T09:51:03.577Z","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=israel-statistics-mcp","compare_url":"https://unfragile.ai/compare?artifact=israel-statistics-mcp"}},"signature":"F4GFEjqIluSWkscl3RjsqknbUBHhkNAiQgICXR4zOrUQ2qsWgW/6XP9wfjFkCiEwdDxNA+mS+Jq9GK3Ylnw4Ag==","signedAt":"2026-06-18T04:59:39.094Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/israel-statistics-mcp","artifact":"https://unfragile.ai/israel-statistics-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=israel-statistics-mcp","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"}}