{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-twilio","slug":"twilio","name":"Twilio","type":"mcp","url":"https://github.com/twilio-labs/mcp","page_url":"https://unfragile.ai/twilio","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-twilio__cap_0","uri":"capability://tool.use.integration.openapi.to.mcp.tool.schema.transformation","name":"openapi-to-mcp tool schema transformation","description":"Automatically converts OpenAPI 3.0 specifications into Model Context Protocol (MCP) tool definitions by parsing OpenAPI schemas, extracting operation metadata, and generating MCP-compatible tool schemas with parameter validation. Uses @apidevtools/swagger-parser to validate and dereference OpenAPI specs, then transforms operation objects into MCP InputSchema structures with proper type mapping and constraint preservation.","intents":["I want to expose my REST API to Claude or other AI assistants without manually writing tool definitions","I need to automatically generate MCP tool schemas from my existing OpenAPI documentation","I want to keep my API tool definitions in sync with my OpenAPI spec as it evolves"],"best_for":["API providers building MCP servers for their services","Teams migrating REST APIs to AI-accessible tool interfaces","Developers maintaining OpenAPI specs who want automatic MCP exposure"],"limitations":["Requires valid OpenAPI 3.0 specification — malformed specs will fail parsing","Complex nested schemas with circular references may require manual schema simplification","OpenAPI features like discriminators and polymorphism have limited MCP equivalents","Custom OpenAPI extensions are not automatically preserved in MCP schema transformation"],"requires":["OpenAPI 3.0 specification file (JSON or YAML)","Node.js 20.0.0 or higher","@apidevtools/swagger-parser dependency","@modelcontextprotocol/sdk for MCP protocol support"],"input_types":["OpenAPI 3.0 JSON specification","OpenAPI 3.0 YAML specification","OpenAPI spec URL (remote reference)"],"output_types":["MCP Tool definition objects","MCP InputSchema with typed parameters","Tool metadata (name, description, required fields)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_1","uri":"capability://tool.use.integration.http.to.mcp.request.translation.with.authentication","name":"http-to-mcp request translation with authentication","description":"Translates MCP tool call requests into authenticated HTTP API calls by mapping MCP parameters to HTTP request components (path, query, body), handling multiple authentication schemes (Basic, Bearer, API Key), and managing credential injection from environment variables or configuration. Implements a generic HTTP client utility that constructs requests according to OpenAPI operation specifications and handles response serialization back to MCP format.","intents":["I want AI assistants to call my REST API endpoints through MCP without exposing raw HTTP details","I need to securely inject API credentials into HTTP requests made by AI tools","I want to map MCP tool parameters to the correct HTTP request locations (path, query, body, headers)"],"best_for":["API providers securing AI access to their endpoints","Teams building MCP servers for authenticated REST APIs","Developers needing credential management for AI-driven API calls"],"limitations":["Authentication credentials must be provided via environment variables — no in-memory credential store","Complex request body transformations (e.g., XML payloads) require custom serialization logic","Streaming responses are not natively supported — all responses must be buffered in memory","Request/response interceptors for logging or modification are not built-in"],"requires":["Node.js 20.0.0 or higher","HTTP client library (fetch or axios)","Environment variables containing API credentials","Valid OpenAPI operation specification for each endpoint"],"input_types":["MCP tool call with parameters","OpenAPI operation definition","Environment variables for authentication"],"output_types":["HTTP request (method, URL, headers, body)","HTTP response (status, headers, body)","MCP-formatted response object"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_10","uri":"capability://tool.use.integration.mcp.request.routing.and.tool.invocation","name":"mcp request routing and tool invocation","description":"Routes incoming MCP tool call requests to the correct OpenAPI operation handler by matching the tool name to an operation ID from the OpenAPI spec. Extracts parameters from the MCP request, maps them to the appropriate HTTP request components (path, query, body), invokes the HTTP client with the constructed request, and returns the response in MCP format. Implements a dispatch mechanism that handles both generic OpenAPI tools and custom Twilio-specific tool implementations.","intents":["I want to route MCP tool calls to the correct API operations","I need to map MCP parameters to HTTP request components based on OpenAPI definitions","I want to support both generic OpenAPI tools and custom tool implementations"],"best_for":["MCP server developers implementing tool invocation logic","Teams building extensible MCP servers with custom tool handlers","API providers exposing multiple operations through a single MCP server"],"limitations":["Tool routing is based on exact name matching — no fuzzy matching or aliases","Parameter mapping is limited to OpenAPI-defined locations (path, query, body, header)","No middleware or interceptor support — request/response modification requires custom code","Tool invocation is synchronous — no support for async tool execution or background jobs"],"requires":["OpenAPI specification with operation IDs","Node.js 20.0.0 or higher","@modelcontextprotocol/sdk","HTTP client implementation"],"input_types":["MCP tool call request with tool name and parameters","OpenAPI operation definition"],"output_types":["HTTP request to the API","MCP tool result with API response","Error response if routing or invocation fails"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_11","uri":"capability://automation.workflow.cli.server.instantiation.and.configuration","name":"cli server instantiation and configuration","description":"Provides command-line interfaces (openapi-mcp-server and twilio-mcp-server) that instantiate and start MCP servers with configuration from command-line arguments and environment variables. The CLI parses arguments for OpenAPI spec location, authentication credentials, and server options, creates the appropriate server instance (generic or Twilio-specific), and starts listening for MCP client connections on stdio.","intents":["I want to start an MCP server from the command line with my OpenAPI spec","I need to configure the server with API credentials and other options via CLI arguments","I want to run the Twilio MCP server as a subprocess for Claude Desktop or other MCP clients"],"best_for":["Developers running MCP servers locally or in containers","Teams deploying MCP servers in production environments","Users integrating MCP servers with Claude Desktop or other MCP clients"],"limitations":["CLI arguments are limited to simple string values — complex configuration requires environment variables","No configuration file support — all settings must be passed via CLI or environment","No built-in logging configuration — debug output is limited to stderr","Server runs in foreground — requires external process manager for daemonization"],"requires":["Node.js 20.0.0 or higher","OpenAPI specification file or URL","API credentials in environment variables","npm or npx to run CLI commands"],"input_types":["CLI arguments (--spec, --auth, etc.)","Environment variables for credentials","OpenAPI specification file"],"output_types":["Running MCP server process","Stdio-based MCP protocol communication","Server startup logs and errors"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_2","uri":"capability://tool.use.integration.stdio.based.mcp.server.protocol.handling","name":"stdio-based mcp server protocol handling","description":"Implements the Model Context Protocol server-side using stdio transport, handling MCP message serialization/deserialization, request routing, and response formatting. Uses @modelcontextprotocol/sdk to manage the MCP protocol layer, listening for tool call requests on stdin and writing responses to stdout in JSON-RPC format, enabling integration with MCP-compatible clients like Claude Desktop.","intents":["I want to expose my API as an MCP server that Claude Desktop or other MCP clients can connect to","I need to handle MCP protocol messages and route them to the correct API operations","I want to run my API integration as a subprocess that communicates via stdio with an AI assistant"],"best_for":["Developers building MCP servers for local or remote APIs","Teams integrating APIs with Claude Desktop or other MCP-compatible AI tools","API providers creating AI-accessible tool interfaces"],"limitations":["Stdio transport is synchronous — no true streaming or long-polling support","Message size is limited by stdio buffer capacity — very large responses may be truncated","No built-in message queuing or retry logic — failed requests are not automatically retried","Requires subprocess management by the client — no native HTTP server mode"],"requires":["Node.js 20.0.0 or higher","@modelcontextprotocol/sdk package","MCP-compatible client (Claude Desktop, Cline, etc.)","Proper stdio stream setup in parent process"],"input_types":["MCP JSON-RPC requests on stdin","Tool call requests with parameters"],"output_types":["MCP JSON-RPC responses on stdout","Tool results or error messages","Server capabilities advertisement"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_3","uri":"capability://tool.use.integration.twilio.specific.tool.customization.and.extension","name":"twilio-specific tool customization and extension","description":"Extends the generic OpenAPI MCP server with Twilio-specific tools and custom implementations for common Twilio operations (sending messages, managing phone numbers, configuring accounts). The TwilioOpenAPIMCPServer class inherits from OpenAPIMCPServer and adds custom tool handlers that wrap Twilio API calls with domain-specific logic, parameter validation, and response formatting tailored to Twilio's API patterns.","intents":["I want to use Twilio APIs through Claude or other AI assistants with Twilio-specific tool definitions","I need custom tool implementations for common Twilio operations like sending SMS or managing phone numbers","I want to extend the generic OpenAPI server with Twilio-specific validation and error handling"],"best_for":["Twilio customers building AI-driven communication applications","Teams integrating Twilio APIs with Claude or other AI assistants","Developers needing Twilio-specific tool implementations beyond generic OpenAPI exposure"],"limitations":["Custom tools are hardcoded for Twilio APIs — not reusable for other services","Twilio API changes require manual updates to custom tool implementations","Limited to Twilio operations exposed as custom tools — other Twilio APIs fall back to generic OpenAPI handling","No built-in support for Twilio webhooks or event subscriptions"],"requires":["Node.js 20.0.0 or higher","Twilio account with API credentials (Account SID and Auth Token)","@twilio-alpha/openapi-mcp-server package","@modelcontextprotocol/sdk","Twilio OpenAPI specification"],"input_types":["MCP tool calls for Twilio operations","Twilio API parameters (phone numbers, message content, etc.)","Twilio account credentials"],"output_types":["Twilio API responses (message SIDs, phone number details, etc.)","Custom formatted results for common operations","Error messages with Twilio-specific context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_4","uri":"capability://tool.use.integration.mcp.tool.discovery.and.capability.advertisement","name":"mcp tool discovery and capability advertisement","description":"Implements the MCP tools/list endpoint to advertise available tools to MCP clients by introspecting the OpenAPI specification and generating tool metadata (name, description, input schema). When a client connects, the server responds to the tools/list request with a complete inventory of available operations, each with full parameter schemas, descriptions, and required field information extracted from the OpenAPI spec.","intents":["I want Claude or other AI assistants to discover what API operations are available through my MCP server","I need to advertise tool schemas so AI assistants know what parameters each operation requires","I want to provide human-readable descriptions of each API operation for AI context"],"best_for":["MCP server developers exposing APIs to AI assistants","Teams building AI-driven workflows that need dynamic tool discovery","API providers wanting AI assistants to understand available operations"],"limitations":["Tool discovery is static — changes to OpenAPI spec require server restart","No filtering or permission-based tool visibility — all tools are advertised to all clients","Tool descriptions are limited to OpenAPI spec content — no dynamic descriptions based on runtime state","Complex nested schemas may produce verbose tool definitions that exceed client display limits"],"requires":["Valid OpenAPI 3.0 specification","Node.js 20.0.0 or higher","@modelcontextprotocol/sdk","MCP-compatible client that supports tools/list endpoint"],"input_types":["OpenAPI specification","MCP tools/list request"],"output_types":["MCP tools/list response","Tool metadata array with name, description, input schema","Parameter definitions with types and constraints"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_5","uri":"capability://tool.use.integration.parameter.validation.and.type.coercion","name":"parameter validation and type coercion","description":"Validates MCP tool call parameters against OpenAPI schemas before making HTTP requests, performing type checking, required field validation, and constraint enforcement (min/max values, string patterns, enum values). Coerces parameters to the correct types (string to number, boolean parsing) based on OpenAPI type definitions, returning validation errors to the MCP client if parameters don't match the schema.","intents":["I want to ensure AI assistants provide valid parameters before calling my API","I need to catch parameter type mismatches early and return helpful error messages","I want to enforce API constraints (required fields, value ranges) at the MCP layer"],"best_for":["API providers protecting their endpoints from invalid requests","Teams building robust MCP servers with strict parameter validation","Developers needing to provide AI assistants with clear validation feedback"],"limitations":["Validation is limited to OpenAPI schema constraints — custom business logic validation requires custom code","Complex validation rules (conditional required fields, cross-parameter constraints) are not supported","Error messages are generic OpenAPI validation errors — no custom error message customization","No support for custom format validators beyond standard OpenAPI formats (date, email, etc.)"],"requires":["OpenAPI 3.0 specification with proper schema definitions","Node.js 20.0.0 or higher","Schema validation library (e.g., ajv for JSON Schema validation)","Proper type definitions in OpenAPI spec"],"input_types":["MCP tool call parameters","OpenAPI schema definitions"],"output_types":["Validation result (pass/fail)","Coerced parameters with correct types","Validation error messages"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_6","uri":"capability://tool.use.integration.environment.based.credential.injection.and.secret.management","name":"environment-based credential injection and secret management","description":"Manages API credentials (API keys, tokens, account IDs) by reading them from environment variables at server startup and injecting them into HTTP requests without exposing them in logs or responses. Supports multiple authentication schemes (Basic Auth, Bearer Token, API Key headers) by mapping OpenAPI security schemes to environment variable names, enabling secure credential handling for AI-driven API access.","intents":["I want to securely pass my API credentials to the MCP server without hardcoding them","I need to inject authentication tokens into HTTP requests made by AI assistants","I want to ensure API credentials are never logged or exposed in MCP responses"],"best_for":["Teams deploying MCP servers in production with sensitive credentials","Developers building secure AI integrations with authenticated APIs","API providers requiring credential isolation from AI assistant context"],"limitations":["Credentials must be provided via environment variables — no support for credential files or vaults","No credential rotation or expiration handling — expired credentials require manual server restart","Credentials are loaded once at startup — dynamic credential updates are not supported","No audit logging of credential usage — cannot track which operations used which credentials"],"requires":["Environment variables containing API credentials","Node.js 20.0.0 or higher","OpenAPI security scheme definitions matching environment variable names","Proper environment variable naming conventions (e.g., TWILIO_ACCOUNT_SID)"],"input_types":["Environment variables","OpenAPI security scheme definitions"],"output_types":["Authenticated HTTP requests","No credential exposure in logs or responses"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_7","uri":"capability://tool.use.integration.error.handling.and.response.normalization","name":"error handling and response normalization","description":"Catches HTTP errors and API failures, normalizing them into MCP-compatible error responses with meaningful error messages and status codes. Maps HTTP error codes to MCP error formats, preserves API error details (error messages, error codes, validation failures) in the response, and provides structured error information that helps AI assistants understand what went wrong and how to retry.","intents":["I want AI assistants to understand when API calls fail and why","I need to convert HTTP error responses into MCP-compatible error format","I want to provide helpful error messages that guide AI assistants to fix invalid requests"],"best_for":["MCP server developers handling API failures gracefully","Teams building resilient AI workflows that need clear error feedback","API providers wanting AI assistants to understand and recover from errors"],"limitations":["Error normalization is limited to standard HTTP status codes — custom API error formats may not map cleanly","No automatic retry logic — failed requests must be retried by the MCP client","Error messages are limited to what the API returns — no custom error message generation","Sensitive error details (stack traces, internal error codes) may be exposed in error responses"],"requires":["HTTP client with error handling","Node.js 20.0.0 or higher","MCP error response format understanding","API error response format documentation"],"input_types":["HTTP error responses","API error payloads"],"output_types":["MCP error response objects","Normalized error messages","HTTP status codes and error details"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_8","uri":"capability://automation.workflow.monorepo.workspace.dependency.management.and.build.orchestration","name":"monorepo workspace dependency management and build orchestration","description":"Manages a multi-package npm workspace where the Twilio-specific MCP server depends on the generic OpenAPI MCP server package. Uses npm workspaces and a prepare script to ensure the generic package is built before the Twilio package, maintaining the correct build order and dependency resolution across packages. Enforces Node.js version requirements (>=20.0.0) at the workspace level.","intents":["I want to maintain separate generic and Twilio-specific MCP server packages in a single repository","I need to ensure the generic OpenAPI package is built before the Twilio package that depends on it","I want to manage shared dependencies and version constraints across multiple MCP server packages"],"best_for":["Teams maintaining multiple related MCP server implementations","Developers building reusable MCP infrastructure with service-specific extensions","Organizations publishing both generic and service-specific MCP packages"],"limitations":["Workspace setup requires npm 7+ — older npm versions don't support workspaces","Build order is enforced via prepare script — complex dependency graphs may require manual orchestration","Version management is manual — no automatic version synchronization across packages","Publishing requires manual coordination — no automated multi-package release workflow"],"requires":["Node.js 20.0.0 or higher","npm 7.0.0 or higher (for workspace support)","npm workspaces configuration in root package.json","Proper prepare script setup for build ordering"],"input_types":["package.json files for each package","npm workspace configuration"],"output_types":["Built packages in dist/ directories","Resolved dependencies across workspace","Linked packages for local development"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-twilio__cap_9","uri":"capability://data.processing.analysis.openapi.specification.parsing.and.schema.dereferencing","name":"openapi specification parsing and schema dereferencing","description":"Parses OpenAPI 3.0 specifications (JSON or YAML) and dereferences all schema references ($ref) to create a fully resolved specification tree. Uses @apidevtools/swagger-parser to handle remote references, circular references, and schema composition, enabling the MCP server to work with complex OpenAPI specs that use modular schema definitions and external references.","intents":["I want to use OpenAPI specs with remote schema references and $ref definitions","I need to resolve circular references in my OpenAPI spec before converting to MCP tools","I want to support modular OpenAPI specs that split schemas across multiple files"],"best_for":["Teams with complex OpenAPI specs using schema composition and references","API providers with modular OpenAPI documentation split across files","Developers needing to handle enterprise-grade OpenAPI specifications"],"limitations":["Dereferencing can be slow for very large specs with many remote references","Circular references are resolved but may produce verbose dereferenced schemas","Remote references require network access — offline specs with external refs will fail","Some OpenAPI extensions and custom properties may be lost during dereferencing"],"requires":["Valid OpenAPI 3.0 specification","@apidevtools/swagger-parser package","Node.js 20.0.0 or higher","Network access for remote schema references (if applicable)"],"input_types":["OpenAPI 3.0 JSON file","OpenAPI 3.0 YAML file","OpenAPI spec URL with remote references"],"output_types":["Fully dereferenced OpenAPI specification object","Resolved schema definitions with no $ref pointers","Flattened component schemas"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["OpenAPI 3.0 specification file (JSON or YAML)","Node.js 20.0.0 or higher","@apidevtools/swagger-parser dependency","@modelcontextprotocol/sdk for MCP protocol support","HTTP client library (fetch or axios)","Environment variables containing API credentials","Valid OpenAPI operation specification for each endpoint","OpenAPI specification with operation IDs","@modelcontextprotocol/sdk","HTTP client implementation"],"failure_modes":["Requires valid OpenAPI 3.0 specification — malformed specs will fail parsing","Complex nested schemas with circular references may require manual schema simplification","OpenAPI features like discriminators and polymorphism have limited MCP equivalents","Custom OpenAPI extensions are not automatically preserved in MCP schema transformation","Authentication credentials must be provided via environment variables — no in-memory credential store","Complex request body transformations (e.g., XML payloads) require custom serialization logic","Streaming responses are not natively supported — all responses must be buffered in memory","Request/response interceptors for logging or modification are not built-in","Tool routing is based on exact name matching — no fuzzy matching or aliases","Parameter mapping is limited to OpenAPI-defined locations (path, query, body, header)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.39999999999999997,"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":"2026-06-17T09:51:04.050Z","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=twilio","compare_url":"https://unfragile.ai/compare?artifact=twilio"}},"signature":"qwT/vYVX3Zxy+g4FveZhrfEZnJ8ZbvisuQq487gOJm5Q9wO/V4Zbtn91vxUphgZKQwbyOmV9vdYbm8YgCEBtBQ==","signedAt":"2026-06-22T09:18:37.139Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/twilio","artifact":"https://unfragile.ai/twilio","verify":"https://unfragile.ai/api/v1/verify?slug=twilio","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"}}