{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-vapi-aimcp-server","slug":"npm-vapi-aimcp-server","name":"@vapi-ai/mcp-server","type":"mcp","url":"https://www.npmjs.com/package/@vapi-ai/mcp-server","page_url":"https://unfragile.ai/npm-vapi-aimcp-server","categories":["mcp-servers"],"tags":["vapi","mcp","model-context-protocol","ai","claude","voice-api","tool-calling"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-vapi-aimcp-server__cap_0","uri":"capability://tool.use.integration.mcp.server.instantiation.with.vapi.voice.api.integration","name":"mcp server instantiation with vapi voice api integration","description":"Provides a standardized Model Context Protocol server implementation that bridges Claude (via Claude Desktop or other MCP clients) with Vapi's voice API infrastructure. The server implements the MCP specification, exposing Vapi's voice capabilities as tools and resources that Claude can invoke, handling protocol serialization/deserialization and maintaining bidirectional communication with MCP clients through stdio or HTTP transports.","intents":["I want Claude to control Vapi voice calls programmatically through a standard protocol","I need to expose Vapi voice capabilities as callable tools within Claude Desktop or other MCP-compatible clients","I want to build voice AI agents that leverage Claude's reasoning with Vapi's voice infrastructure"],"best_for":["AI engineers building voice agents with Claude as the reasoning engine","Teams integrating Vapi voice capabilities into Claude-based workflows","Developers creating MCP-compatible voice AI applications"],"limitations":["Requires MCP client support — not all AI tools support MCP protocol yet","Limited to Vapi's voice API capabilities — cannot extend to other voice providers without additional adapters","Stdio transport adds latency for high-frequency tool calls compared to native library integration"],"requires":["Node.js 16+ (typical for npm packages)","Vapi API credentials (API key)","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","@vapi-ai/mcp-server npm package installed"],"input_types":["MCP protocol messages (JSON-RPC 2.0)","Tool invocation requests with parameters","Resource requests for voice call metadata"],"output_types":["MCP protocol responses (JSON-RPC 2.0)","Tool execution results (voice call IDs, status, transcripts)","Resource data (call history, voice configurations)"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-vapi-aimcp-server__cap_1","uri":"capability://tool.use.integration.tool.schema.definition.and.registration.for.voice.call.operations","name":"tool schema definition and registration for voice call operations","description":"Exposes Vapi voice operations (initiating calls, managing call state, retrieving transcripts, configuring voice parameters) as callable MCP tools with JSON Schema definitions. The server registers these tools with their parameter schemas, type definitions, and descriptions, allowing MCP clients to discover available operations and invoke them with proper type validation and error handling.","intents":["I want Claude to initiate and manage Vapi voice calls with validated parameters","I need Claude to understand what voice operations are available and their required parameters","I want to ensure type-safe invocation of Vapi voice APIs through Claude"],"best_for":["Developers building voice agents where Claude orchestrates call lifecycle","Teams needing schema-driven tool discovery for voice operations","AI engineers implementing multi-turn voice interactions with Claude reasoning"],"limitations":["Tool schemas are static at server startup — dynamic schema updates require server restart","Parameter validation happens at MCP protocol level, not at Vapi API level — some invalid parameters may only fail at API call time","No built-in retry logic or circuit breaker for failed tool invocations"],"requires":["Vapi API credentials with appropriate permissions for voice operations","MCP client capable of parsing and invoking JSON Schema-defined tools","Understanding of Vapi voice API parameters and call lifecycle"],"input_types":["JSON Schema tool definitions","Tool invocation parameters (phone numbers, voice IDs, prompt text, etc.)","Call configuration objects"],"output_types":["Tool execution results (call IDs, status codes, error messages)","Call metadata (duration, transcript, recording URLs)","Structured error responses with diagnostic information"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-vapi-aimcp-server__cap_2","uri":"capability://tool.use.integration.bidirectional.mcp.protocol.communication.with.stdio.http.transport","name":"bidirectional mcp protocol communication with stdio/http transport","description":"Implements the Model Context Protocol specification for bidirectional communication between the Vapi MCP server and MCP clients (like Claude Desktop). Handles JSON-RPC 2.0 message serialization, request/response routing, and supports both stdio (for local process communication) and HTTP transports. The server manages message queuing, error handling, and protocol state to ensure reliable tool invocation and resource access.","intents":["I want reliable bidirectional communication between Claude and Vapi voice APIs","I need the MCP server to handle protocol-level concerns so I can focus on voice logic","I want to support both local (stdio) and remote (HTTP) MCP client connections"],"best_for":["Developers deploying Vapi MCP servers in Claude Desktop environments","Teams running MCP servers as standalone services with HTTP endpoints","Engineers building voice AI applications requiring robust protocol handling"],"limitations":["Stdio transport is synchronous and single-threaded — high-concurrency scenarios may experience blocking","HTTP transport adds network latency and requires proper CORS/authentication configuration","No built-in message compression — large tool responses may consume significant bandwidth","Protocol version is fixed at MCP spec version — no automatic negotiation with newer client versions"],"requires":["Node.js runtime with stdio/HTTP support","MCP client implementation that speaks JSON-RPC 2.0","Proper environment configuration for transport selection (stdio vs HTTP)"],"input_types":["JSON-RPC 2.0 request messages","MCP protocol messages (initialize, call_tool, read_resource, etc.)","HTTP POST requests (if using HTTP transport)"],"output_types":["JSON-RPC 2.0 response messages","MCP protocol responses with tool results or resource data","HTTP responses with protocol payloads"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-vapi-aimcp-server__cap_3","uri":"capability://memory.knowledge.resource.exposure.for.voice.call.metadata.and.configuration","name":"resource exposure for voice call metadata and configuration","description":"Exposes Vapi voice call data and configuration as MCP resources that Claude can read and reference. Resources include call history, transcript data, voice model configurations, and call state information. The server implements the MCP resource protocol, allowing clients to discover available resources via URI patterns and retrieve their content with proper caching and access control semantics.","intents":["I want Claude to access historical call data and transcripts to inform decisions","I need Claude to query available voice configurations and call metadata","I want to expose call state information as readable resources within the MCP protocol"],"best_for":["Developers building voice agents that need context from previous calls","Teams implementing voice analytics or call review workflows with Claude","Engineers creating voice AI systems where Claude reasons over call history"],"limitations":["Resource caching is server-side only — no client-side caching hints provided","No pagination support for large result sets — full call history may be memory-intensive","Resource URIs are static patterns — dynamic resource discovery requires server-side filtering","No built-in access control — all resources are readable by any authenticated MCP client"],"requires":["Vapi API credentials with read permissions for call data","MCP client that supports resource reading (read_resource protocol)","Sufficient server memory to cache call metadata"],"input_types":["Resource URI requests (e.g., 'vapi://calls/history', 'vapi://voices/available')","Resource filtering parameters (date ranges, call IDs, etc.)"],"output_types":["Call metadata (call ID, duration, timestamp, participants)","Transcript data (full text, speaker turns, timestamps)","Voice configuration objects (voice ID, model, parameters)","Call state information (active, completed, failed)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-vapi-aimcp-server__cap_4","uri":"capability://safety.moderation.error.handling.and.protocol.level.exception.mapping","name":"error handling and protocol-level exception mapping","description":"Translates Vapi API errors and internal server errors into MCP-compliant error responses with proper JSON-RPC error codes and diagnostic information. The server catches exceptions from Vapi API calls, network failures, and protocol violations, mapping them to appropriate MCP error codes (invalid request, method not found, invalid params, internal error) and providing detailed error messages for debugging.","intents":["I want Claude to understand why a voice operation failed with clear error messages","I need the MCP server to gracefully handle Vapi API errors without crashing","I want diagnostic information when tool invocations fail"],"best_for":["Developers debugging voice agent failures and Vapi API issues","Teams implementing error recovery logic in voice AI workflows","Engineers monitoring MCP server health and error rates"],"limitations":["Error messages are limited to MCP protocol constraints — some Vapi API error details may be truncated","No built-in error logging to external services — errors are only visible through MCP protocol responses","Error recovery is passive — server does not automatically retry failed operations","No error rate limiting — high error volumes could overwhelm MCP clients"],"requires":["Understanding of JSON-RPC error code semantics","Vapi API error documentation to interpret mapped errors","MCP client capable of parsing error responses"],"input_types":["Vapi API error responses","Network errors and timeouts","Protocol validation failures"],"output_types":["JSON-RPC error responses with code and message","Diagnostic error details (Vapi error codes, API response status)","Stack traces (in development mode)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-vapi-aimcp-server__cap_5","uri":"capability://safety.moderation.authentication.and.credential.management.for.vapi.api.access","name":"authentication and credential management for vapi api access","description":"Manages Vapi API credentials (API keys) and handles authentication with Vapi's backend services. The server reads credentials from environment variables or configuration files, securely stores them in memory, and includes them in all outbound Vapi API requests. Implements credential validation at startup and provides error handling for authentication failures.","intents":["I want the MCP server to securely authenticate with Vapi using my API credentials","I need credentials to be injected into Vapi API requests without exposing them to Claude","I want to validate credentials at server startup to catch configuration errors early"],"best_for":["Developers deploying Vapi MCP servers in production environments","Teams managing API credentials across multiple voice AI deployments","Engineers implementing secure credential handling for voice agents"],"limitations":["Credentials are stored in plaintext in server memory — no encryption at rest","No credential rotation support — requires server restart to update credentials","Credentials are read from environment variables only — no integration with secret management systems (AWS Secrets Manager, HashiCorp Vault, etc.)","No audit logging of credential usage — cannot track which operations used which credentials"],"requires":["Vapi API key with appropriate permissions","Environment variable configuration (VAPI_API_KEY or similar)","Secure environment for server deployment (no credential exposure in logs)"],"input_types":["Environment variables containing API credentials","Configuration files with credential references"],"output_types":["Authentication status (valid/invalid)","Credential validation errors","Authenticated Vapi API requests"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (typical for npm packages)","Vapi API credentials (API key)","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","@vapi-ai/mcp-server npm package installed","Vapi API credentials with appropriate permissions for voice operations","MCP client capable of parsing and invoking JSON Schema-defined tools","Understanding of Vapi voice API parameters and call lifecycle","Node.js runtime with stdio/HTTP support","MCP client implementation that speaks JSON-RPC 2.0","Proper environment configuration for transport selection (stdio vs HTTP)"],"failure_modes":["Requires MCP client support — not all AI tools support MCP protocol yet","Limited to Vapi's voice API capabilities — cannot extend to other voice providers without additional adapters","Stdio transport adds latency for high-frequency tool calls compared to native library integration","Tool schemas are static at server startup — dynamic schema updates require server restart","Parameter validation happens at MCP protocol level, not at Vapi API level — some invalid parameters may only fail at API call time","No built-in retry logic or circuit breaker for failed tool invocations","Stdio transport is synchronous and single-threaded — high-concurrency scenarios may experience blocking","HTTP transport adds network latency and requires proper CORS/authentication configuration","No built-in message compression — large tool responses may consume significant bandwidth","Protocol version is fixed at MCP spec version — no automatic negotiation with newer client versions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.15959192874743922,"quality":0.22,"ecosystem":0.5000000000000001,"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":"2026-05-24T12:16:24.483Z","last_scraped_at":"2026-04-22T08:08:57.353Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":314,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-vapi-aimcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-vapi-aimcp-server"}},"signature":"7993pOAtoDvg6EjTyQyW8CcqiE+odGhZfaXdaM734VaZQk0k039MSoXhUoQjxfBEfZ16VobP9CZTzJSzcTnQAg==","signedAt":"2026-06-22T23:42:16.708Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-vapi-aimcp-server","artifact":"https://unfragile.ai/npm-vapi-aimcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-vapi-aimcp-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"}}