{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-modelcontextprotocolserver-budget-allocator","slug":"npm-modelcontextprotocolserver-budget-allocator","name":"@modelcontextprotocol/server-budget-allocator","type":"mcp","url":"https://www.npmjs.com/package/@modelcontextprotocol/server-budget-allocator","page_url":"https://unfragile.ai/npm-modelcontextprotocolserver-budget-allocator","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_0","uri":"capability://tool.use.integration.mcp.server.protocol.implementation.with.budget.constraint.enforcement","name":"mcp server protocol implementation with budget constraint enforcement","description":"Implements the Model Context Protocol (MCP) server specification, enabling Claude and other LLM clients to invoke budget allocation functions through a standardized message-based interface. Uses MCP's tool definition schema to expose budget operations as callable resources with strict input validation and response formatting, enforcing budget constraints at the protocol level rather than application level.","intents":["I want Claude to directly call budget allocation functions without manual API integration","I need to expose budget operations through a standardized protocol that works with any MCP-compatible client","I want to ensure budget constraints are enforced at the protocol boundary before execution"],"best_for":["AI teams building Claude-integrated budget management systems","Developers creating multi-agent systems where budget allocation is a shared capability","Organizations standardizing on MCP for LLM tool access"],"limitations":["MCP protocol overhead adds ~50-100ms per request compared to direct function calls","Limited to MCP-compatible clients (Claude, custom MCP clients); no REST API fallback","Requires MCP client library on consumer side; not suitable for browser-based frontends"],"requires":["Node.js 16+","@modelcontextprotocol/sdk package","MCP-compatible client (Claude API with MCP support or custom MCP client)"],"input_types":["JSON-RPC 2.0 messages","MCP tool invocation requests with typed parameters"],"output_types":["JSON-RPC 2.0 responses","MCP tool result objects with structured budget allocation data"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_1","uri":"capability://automation.workflow.interactive.budget.allocation.visualization.with.real.time.state.updates","name":"interactive budget allocation visualization with real-time state updates","description":"Provides a web-based visualization dashboard that renders budget allocation state and updates in real-time as allocations change. Uses a client-server architecture where the MCP server broadcasts allocation events to connected visualization clients, likely via WebSocket or Server-Sent Events, enabling stakeholders to monitor budget distribution without polling or manual refresh.","intents":["I want to see budget allocations update in real-time as Claude makes decisions","I need a dashboard to visualize how budgets are being distributed across departments or projects","I want to monitor budget constraint violations or near-limit conditions visually"],"best_for":["Finance teams monitoring AI-driven budget allocation decisions","Product managers visualizing resource distribution across features or teams","DevOps engineers tracking budget consumption in real-time during automated allocation workflows"],"limitations":["Visualization updates depend on event broadcast frequency; high-frequency updates may impact server performance","No built-in persistence of historical visualization data; requires external time-series database for audit trails","Browser compatibility limited to modern browsers supporting WebSocket/SSE; no IE11 support"],"requires":["Modern web browser (Chrome 60+, Firefox 55+, Safari 12+)","Network connectivity to MCP server","WebSocket or Server-Sent Events support on server"],"input_types":["Budget allocation events from MCP server","Real-time state snapshots"],"output_types":["HTML/CSS/JavaScript visualization","SVG or Canvas-based charts","DOM updates reflecting current allocation state"],"categories":["automation-workflow","visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_2","uri":"capability://planning.reasoning.budget.constraint.validation.and.enforcement.engine","name":"budget constraint validation and enforcement engine","description":"Validates all budget allocation requests against defined constraints (total budget limits, per-category limits, minimum/maximum allocation thresholds) before execution. Implements constraint checking as a middleware layer in the MCP request pipeline, rejecting invalid allocations with detailed error messages that explain which constraint was violated and by how much.","intents":["I want to prevent Claude from allocating more budget than available","I need to enforce business rules like 'no single allocation can exceed 30% of total budget'","I want detailed error messages when allocation requests fail so Claude can adjust its strategy"],"best_for":["Finance-critical systems where budget overruns are unacceptable","Multi-tenant platforms with per-tenant budget quotas","Compliance-heavy organizations requiring audit trails of constraint violations"],"limitations":["Constraint evaluation adds ~10-20ms latency per allocation request","No support for time-based constraints (e.g., 'max $1000 per day'); requires external scheduler","Constraint definitions are static; dynamic constraint updates require server restart"],"requires":["Budget constraint configuration (JSON schema or code)","Access to current budget state/ledger","MCP server running with constraint validation middleware"],"input_types":["Budget allocation request objects with amount, category, recipient","Constraint definition objects"],"output_types":["Validation result (pass/fail)","Error objects with constraint violation details","Approved allocation transaction records"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_3","uri":"capability://data.processing.analysis.budget.allocation.transaction.recording.and.state.management","name":"budget allocation transaction recording and state management","description":"Maintains a transactional ledger of all budget allocations, tracking allocation history, current balances, and state transitions. Implements ACID-like semantics for allocation operations, ensuring that partial failures don't leave the budget state inconsistent. Uses an in-memory or persistent store to track allocations and provides query interfaces for retrieving allocation history, current balances, and audit trails.","intents":["I want a complete audit trail of who allocated what budget and when","I need to query current budget balances across all categories or recipients","I want to support budget reallocation or reversal operations with full transaction history"],"best_for":["Organizations with regulatory audit requirements (SOX, HIPAA, etc.)","Multi-user budget systems where allocation accountability is critical","Systems requiring budget forecasting based on historical allocation patterns"],"limitations":["In-memory storage loses all allocation history on server restart; requires persistent backend for production","No built-in sharding or partitioning; performance degrades with millions of allocation records","Concurrent allocation requests may require locking, reducing throughput in high-concurrency scenarios"],"requires":["Persistent storage backend (PostgreSQL, MongoDB, etc.) for production deployments","Transaction ID generation mechanism (UUID, sequence)","Clock synchronization for accurate timestamp recording"],"input_types":["Allocation request objects","Query filters (date range, category, recipient, status)"],"output_types":["Transaction records with ID, timestamp, amount, category, status","Balance summaries by category or recipient","Audit trail reports"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_4","uri":"capability://safety.moderation.multi.user.budget.allocation.coordination.with.role.based.access.control","name":"multi-user budget allocation coordination with role-based access control","description":"Supports multiple concurrent users or agents making budget allocation decisions with role-based access control (RBAC) to restrict who can allocate what amounts or categories. Implements authorization checks in the MCP request handler, verifying that the requesting user/agent has permission to perform the requested allocation before execution. Tracks allocation requests by user/agent identity for accountability.","intents":["I want different teams to have different budget allocation authorities (e.g., managers can allocate up to $10k, directors up to $100k)","I need to prevent unauthorized budget allocations while allowing multiple agents to work in parallel","I want to track which user/agent made each allocation for accountability"],"best_for":["Enterprise organizations with hierarchical approval workflows","Multi-agent systems where different agents have different budget authorities","Regulated industries requiring role-based access control audit trails"],"limitations":["RBAC configuration is static; dynamic role changes require server restart or configuration reload","No support for delegation (e.g., 'manager A delegates authority to manager B for 1 week'); requires external workflow engine","Authorization checks add ~5-10ms latency per request"],"requires":["User/agent identity provider (JWT tokens, API keys, or custom auth)","Role definitions and permission mappings","MCP client authentication mechanism"],"input_types":["Authenticated MCP requests with user/agent identity","Role and permission configuration objects"],"output_types":["Authorization decision (allow/deny)","Allocation records tagged with user/agent identity","Access control audit logs"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-budget-allocator__cap_5","uri":"capability://planning.reasoning.budget.allocation.decision.explanation.and.reasoning.transparency","name":"budget allocation decision explanation and reasoning transparency","description":"Provides detailed explanations of budget allocation decisions made by Claude or other LLM agents, including the reasoning, constraints considered, and alternative allocations that were rejected. Captures the LLM's chain-of-thought or decision rationale and surfaces it through the MCP interface, enabling stakeholders to understand why specific allocations were chosen and audit the decision-making process.","intents":["I want to understand why Claude chose to allocate budget to this category instead of that one","I need to audit the reasoning behind budget allocation decisions for compliance","I want to improve Claude's allocation strategy by analyzing its decision patterns"],"best_for":["Finance teams requiring decision transparency for budget allocation","Compliance officers auditing AI-driven financial decisions","ML engineers optimizing LLM prompts for budget allocation quality"],"limitations":["Explanation generation adds significant latency (500ms-2s per allocation) if using separate LLM calls","Explanations are only as good as the LLM's reasoning; may contain hallucinations or incomplete logic","Storing explanations for all allocations requires significant storage (1-10KB per explanation)"],"requires":["LLM with chain-of-thought or reasoning capabilities (Claude 3+, GPT-4, etc.)","Prompt engineering to elicit detailed reasoning from the LLM","Storage for explanation records"],"input_types":["Budget allocation requests","LLM reasoning/chain-of-thought outputs"],"output_types":["Natural language explanations of allocation decisions","Structured reasoning objects (constraints considered, alternatives evaluated)","Confidence scores or decision metrics"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","@modelcontextprotocol/sdk package","MCP-compatible client (Claude API with MCP support or custom MCP client)","Modern web browser (Chrome 60+, Firefox 55+, Safari 12+)","Network connectivity to MCP server","WebSocket or Server-Sent Events support on server","Budget constraint configuration (JSON schema or code)","Access to current budget state/ledger","MCP server running with constraint validation middleware","Persistent storage backend (PostgreSQL, MongoDB, etc.) for production deployments"],"failure_modes":["MCP protocol overhead adds ~50-100ms per request compared to direct function calls","Limited to MCP-compatible clients (Claude, custom MCP clients); no REST API fallback","Requires MCP client library on consumer side; not suitable for browser-based frontends","Visualization updates depend on event broadcast frequency; high-frequency updates may impact server performance","No built-in persistence of historical visualization data; requires external time-series database for audit trails","Browser compatibility limited to modern browsers supporting WebSocket/SSE; no IE11 support","Constraint evaluation adds ~10-20ms latency per allocation request","No support for time-based constraints (e.g., 'max $1000 per day'); requires external scheduler","Constraint definitions are static; dynamic constraint updates require server restart","In-memory storage loses all allocation history on server restart; requires persistent backend for production","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:45.977Z","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-modelcontextprotocolserver-budget-allocator","compare_url":"https://unfragile.ai/compare?artifact=npm-modelcontextprotocolserver-budget-allocator"}},"signature":"Zw3+PmAvjP+ECGjUgxpDAAk0uBYGeKV2uCYsUNIlgEcrteggGc/tWOgEPljZw8F9Juu3QLwm7l00RDTtsLWsAA==","signedAt":"2026-06-20T14:29:17.744Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-modelcontextprotocolserver-budget-allocator","artifact":"https://unfragile.ai/npm-modelcontextprotocolserver-budget-allocator","verify":"https://unfragile.ai/api/v1/verify?slug=npm-modelcontextprotocolserver-budget-allocator","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"}}