{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-everything","slug":"everything","name":"Everything","type":"mcp","url":"https://github.com/modelcontextprotocol/servers/blob/main/src/everything","page_url":"https://unfragile.ai/everything","categories":["mcp-servers","testing-quality"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-everything__cap_0","uri":"capability://tool.use.integration.mcp.protocol.primitives.demonstration.via.reference.server","name":"mcp protocol primitives demonstration via reference server","description":"Implements a complete reference server showcasing all four core MCP capability primitives (Tools, Resources, Prompts, Roots) through a unified TypeScript SDK interface. The server exposes these capabilities via JSON-RPC 2.0 protocol over stdio/SSE transports, allowing LLM clients to discover and invoke server-side functionality through standardized message schemas. This is an educational implementation designed to teach developers the exact patterns and SDK usage required to build their own MCP servers.","intents":["Understand how to structure an MCP server that exposes tools, resources, prompts, and roots","Learn the JSON-RPC message flow for capability discovery and invocation","See working examples of all MCP protocol primitives in a single reference implementation","Evaluate MCP server architecture before building production implementations"],"best_for":["Developers building custom MCP servers for the first time","Teams evaluating MCP as a protocol for LLM-tool integration","Contributors to the MCP ecosystem learning reference patterns"],"limitations":["Reference implementation only — lacks production-grade error handling, monitoring, and observability","No built-in authentication or authorization beyond basic security patterns","Simplified state management without persistence or distributed coordination","Educational scope means some edge cases and failure modes are not fully handled"],"requires":["Node.js 16+ for TypeScript SDK execution","MCP SDK TypeScript package (included in src/everything/)","Understanding of JSON-RPC 2.0 protocol basics","Familiarity with async/await patterns in TypeScript"],"input_types":["JSON-RPC 2.0 request messages","Tool invocation parameters (JSON-serializable)","Resource URIs and prompt arguments"],"output_types":["JSON-RPC 2.0 response messages","Tool results (JSON-serializable or text)","Resource content (text, code, structured data)","Prompt templates with variable substitution"],"categories":["tool-use-integration","reference-implementation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_1","uri":"capability://tool.use.integration.tool.capability.exposure.via.schema.based.function.registry","name":"tool capability exposure via schema-based function registry","description":"Exposes callable tools to LLM clients through a schema-based function registry that defines tool names, descriptions, input schemas (JSON Schema format), and handler implementations. The server registers tools with the MCP SDK, which serializes them into the protocol's tool definition format and responds to tool_call requests with execution results. Tools are invoked through a standardized call pattern where the client sends tool name + parameters, the server executes the handler, and returns structured results or errors.","intents":["Register custom functions that an LLM can discover and invoke","Define tool input schemas to constrain and validate LLM-generated parameters","Implement tool handlers that execute business logic and return results to the LLM","Enable LLM agents to take actions by calling server-side tools"],"best_for":["Developers building LLM agents that need to perform actions (API calls, file operations, database queries)","Teams integrating LLMs with existing backend services via MCP","Builders creating AI assistants that require deterministic, auditable tool execution"],"limitations":["Tool schemas must be JSON Schema compatible — complex type systems require careful schema design","No built-in rate limiting or quota management per tool","Tool execution is synchronous within the handler — long-running operations should use async patterns","Error handling relies on exception propagation; no built-in retry or fallback mechanisms"],"requires":["MCP TypeScript SDK with tool registration API","JSON Schema knowledge for defining input/output schemas","TypeScript async function handlers","Understanding of tool naming conventions and documentation requirements"],"input_types":["Tool name (string)","Tool parameters (JSON object matching schema)","Optional: tool metadata (description, category)"],"output_types":["Tool result (JSON-serializable object or string)","Tool error (error message and optional error code)","Structured result with metadata (execution time, status)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_2","uri":"capability://memory.knowledge.resource.exposure.with.uri.based.content.serving","name":"resource exposure with uri-based content serving","description":"Exposes static or dynamic content as resources through a URI-based addressing scheme, where clients request resources by URI and the server returns content (text, code, structured data) along with MIME type metadata. Resources are registered with the MCP SDK with URI templates, descriptions, and content handlers that fetch or generate content on demand. The server maintains a resource list that clients can query to discover available resources, enabling LLMs to reference external knowledge or data sources.","intents":["Make external files, documentation, or knowledge bases accessible to LLM clients","Serve dynamic content (database queries, API responses) as resources without embedding in prompts","Enable LLMs to reference specific documents or data sources by URI","Provide content with metadata (MIME type, size) for client-side handling"],"best_for":["Teams building RAG (Retrieval-Augmented Generation) systems where resources are fetched on-demand","Developers exposing documentation, code repositories, or knowledge bases to LLMs","Builders creating context-aware AI assistants that need access to external data"],"limitations":["No built-in caching — repeated resource requests re-fetch content from source","URI templates are simple string patterns; no complex routing or parameter validation","Resource content size is unbounded — large resources may exceed LLM context limits","No pagination or streaming support for large resources"],"requires":["MCP TypeScript SDK with resource registration API","URI template syntax understanding (e.g., 'file://{path}', 'db://{query}')","Content handlers that return text or structured data","MIME type knowledge for proper content type declaration"],"input_types":["Resource URI (string matching registered template)","Optional: URI parameters (extracted from template)"],"output_types":["Resource content (text, code, JSON, or other MIME types)","MIME type metadata (e.g., 'text/plain', 'application/json')","Optional: resource metadata (size, last-modified)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_3","uri":"capability://text.generation.language.prompt.template.exposure.with.variable.substitution","name":"prompt template exposure with variable substitution","description":"Exposes reusable prompt templates through the MCP SDK that clients can discover and instantiate with variable substitution. Prompts are registered with names, descriptions, argument schemas, and template content that supports variable placeholders (e.g., {{variable}}). When a client requests a prompt, the server substitutes provided arguments into the template and returns the rendered prompt text. This enables LLM clients to use server-defined prompts for consistent, parameterized interactions.","intents":["Define reusable prompt templates that multiple LLM clients can discover and use","Parameterize prompts with variables so clients can customize behavior without modifying templates","Centralize prompt management on the server side for easier updates and versioning","Enable LLM clients to request domain-specific prompts (e.g., 'code-review', 'summarization')"],"best_for":["Teams managing multiple LLM applications that share common prompt patterns","Developers building prompt libraries that need to be versioned and updated centrally","Organizations standardizing LLM interactions across different use cases"],"limitations":["Variable substitution is simple string replacement — no conditional logic or loops in templates","No built-in prompt versioning or A/B testing support","Argument validation relies on JSON Schema; complex validation logic must be in the handler","No support for multi-language or locale-specific prompts"],"requires":["MCP TypeScript SDK with prompt registration API","JSON Schema for defining prompt arguments","Template syntax understanding (variable placeholder format)","Understanding of prompt engineering best practices"],"input_types":["Prompt name (string)","Prompt arguments (JSON object matching schema)"],"output_types":["Rendered prompt text (string with variables substituted)","Prompt metadata (name, description, argument schema)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_4","uri":"capability://automation.workflow.roots.declaration.for.workspace.project.context.scoping","name":"roots declaration for workspace/project context scoping","description":"Declares workspace or project roots that define the scope of resources and tools available to LLM clients, allowing servers to communicate which directories, repositories, or logical boundaries the client should operate within. Roots are registered with the MCP SDK and communicated to clients during capability discovery, enabling clients to understand the context boundaries for file operations, resource access, and tool execution. This is particularly useful for multi-project environments where different clients need different access scopes.","intents":["Define workspace boundaries so LLM clients understand which files/projects they can access","Scope tool execution to specific directories or repositories","Enable multi-project support where different clients have different root contexts","Communicate security boundaries to clients (e.g., 'only access files under /workspace')"],"best_for":["Developers building LLM agents that work with multiple projects or workspaces","Teams implementing security models where different clients have different access scopes","Builders creating IDE integrations or code analysis tools that need project context"],"limitations":["Roots are declarative only — actual access control must be enforced in tool/resource handlers","No built-in permission system; security relies on server-side validation","Roots are static at server startup; dynamic root changes require server restart","No hierarchical root relationships or inheritance"],"requires":["MCP TypeScript SDK with roots registration API","Understanding of filesystem paths or project structure","Server-side access control logic in tool/resource handlers","Client support for roots (may vary by MCP implementation)"],"input_types":["Root URI (string, typically file:// or custom scheme)","Root name (string identifier)","Root metadata (description, type)"],"output_types":["Roots list (array of root definitions)","Root metadata (URI, name, type)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_5","uri":"capability://tool.use.integration.json.rpc.2.0.protocol.transport.abstraction","name":"json-rpc 2.0 protocol transport abstraction","description":"Abstracts the underlying transport mechanism (stdio, SSE, WebSocket) behind a unified JSON-RPC 2.0 message protocol, allowing MCP servers to communicate with clients regardless of transport layer. The MCP SDK handles serialization/deserialization of JSON-RPC messages, request/response correlation, and error handling, while the server implementation remains transport-agnostic. This enables the same server code to work over stdio (for local CLI tools), SSE (for HTTP), or WebSocket (for real-time connections) without modification.","intents":["Build MCP servers that work with multiple transport mechanisms without code changes","Understand how JSON-RPC 2.0 maps to MCP protocol primitives","Implement servers that can be deployed as stdio processes, HTTP services, or WebSocket servers","Debug MCP communication by inspecting JSON-RPC messages"],"best_for":["Developers building MCP servers that need to support multiple deployment models","Teams integrating MCP with existing infrastructure (HTTP APIs, message queues)","Builders creating MCP client libraries that need transport flexibility"],"limitations":["Transport abstraction adds ~50-100ms latency per round-trip depending on transport","Error handling is JSON-RPC standard; custom error codes require protocol extension","No built-in message compression or batching for high-throughput scenarios","Stdio transport is blocking; not suitable for high-concurrency scenarios"],"requires":["MCP TypeScript SDK with transport implementations","JSON-RPC 2.0 protocol knowledge","Understanding of stdio, SSE, or WebSocket APIs","Node.js 16+ for TypeScript execution"],"input_types":["JSON-RPC 2.0 request messages (method, params, id)","Transport-specific framing (stdio: newline-delimited, SSE: event stream, WebSocket: frames)"],"output_types":["JSON-RPC 2.0 response messages (result/error, id)","Transport-specific framing (matching input transport)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_6","uri":"capability://tool.use.integration.capability.discovery.and.schema.advertisement","name":"capability discovery and schema advertisement","description":"Implements the MCP protocol's capability discovery mechanism where servers advertise available tools, resources, prompts, and roots to clients through standardized schema messages. When a client connects, the server responds to discovery requests with complete capability definitions including names, descriptions, input/output schemas, and metadata. This enables clients to dynamically discover what the server can do without hardcoding capability lists, and to validate parameters before invoking tools or requesting resources.","intents":["Allow LLM clients to discover available tools, resources, and prompts at runtime","Provide schema information so clients can validate parameters before invocation","Enable dynamic capability updates without client code changes","Support client-side UI generation based on server capabilities"],"best_for":["Developers building MCP clients that need to discover server capabilities dynamically","Teams creating LLM agent frameworks that adapt to available tools","Builders developing IDE integrations that expose server capabilities to users"],"limitations":["Discovery is synchronous; large numbers of capabilities may cause latency","No built-in capability versioning or deprecation mechanism","Schema advertisement is static at server startup; dynamic capability changes require client reconnection","No capability filtering or access control based on client identity"],"requires":["MCP TypeScript SDK with discovery API","JSON Schema for capability definitions","Client support for processing capability schemas","Understanding of MCP capability primitives"],"input_types":["Discovery request (implicit or explicit capability type filter)"],"output_types":["Capability list (array of tool/resource/prompt/root definitions)","Capability schemas (JSON Schema for inputs/outputs)","Capability metadata (descriptions, categories, tags)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_7","uri":"capability://code.generation.editing.educational.reference.patterns.for.mcp.sdk.usage","name":"educational reference patterns for mcp sdk usage","description":"Provides working code examples demonstrating best practices for using the MCP TypeScript SDK, including proper server initialization, capability registration, error handling, and transport configuration. The Everything server serves as a teaching tool showing how to structure MCP server code, organize handlers, define schemas, and respond to client requests. Developers can study the source code to understand SDK patterns before building their own servers, reducing the learning curve for MCP adoption.","intents":["Learn how to initialize and configure an MCP server using the TypeScript SDK","Understand the structure and organization of tool, resource, and prompt handlers","See examples of JSON Schema definitions for tool inputs and outputs","Study error handling and edge case management in MCP servers"],"best_for":["Developers new to MCP who want to understand SDK usage patterns","Teams evaluating MCP and need working examples to understand the learning curve","Contributors to the MCP ecosystem who need reference implementations"],"limitations":["Reference implementation may not cover all edge cases or advanced patterns","Code examples are simplified for clarity; production servers need additional error handling","Documentation may lag behind SDK updates","No performance optimization examples or benchmarks"],"requires":["TypeScript knowledge and familiarity with async/await","Node.js 16+ for running the server","Access to the source code in src/everything/","Understanding of MCP protocol concepts"],"input_types":["Source code (TypeScript files)","README documentation"],"output_types":["Working MCP server implementation","Code examples and patterns","Documentation and comments"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_8","uri":"capability://automation.workflow.multi.capability.integration.testing.framework","name":"multi-capability integration testing framework","description":"Provides a complete, integrated example of all MCP capabilities (tools, resources, prompts, roots) working together in a single server, enabling developers to test how different capabilities interact and how clients handle mixed capability types. The server demonstrates patterns for coordinating between tools and resources (e.g., a tool that returns a resource URI), prompts that reference tools, and roots that scope resource access. This integration testing capability helps developers understand the full MCP ecosystem before building specialized servers.","intents":["Test how MCP clients handle servers with multiple capability types","Understand how tools, resources, prompts, and roots interact","Validate client implementations against a complete MCP server","Learn patterns for coordinating between different capability types"],"best_for":["MCP client developers who need a complete server to test against","Teams building MCP frameworks that need to validate multi-capability support","Contributors to the MCP ecosystem who need integration test fixtures"],"limitations":["Test coverage is limited to reference patterns; not comprehensive","No performance or stress testing capabilities","No built-in test harness or assertion framework","Limited to TypeScript SDK patterns; doesn't test Python SDK"],"requires":["MCP client implementation to test against the server","Understanding of all MCP capability types","Node.js 16+ for running the server","Test infrastructure to validate client behavior"],"input_types":["MCP client requests for tools, resources, prompts, and roots"],"output_types":["MCP server responses demonstrating all capability types","Integration patterns and examples"],"categories":["automation-workflow","testing-quality"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-everything__cap_9","uri":"capability://code.generation.editing.typescript.sdk.reference.for.mcp.server.development","name":"typescript sdk reference for mcp server development","description":"Demonstrates the MCP TypeScript SDK API surface through working code, showing how to use SDK classes and methods for server initialization, capability registration, request handling, and response formatting. The server code illustrates SDK patterns for creating Server instances, registering tools/resources/prompts/roots, implementing handlers, and managing the request/response lifecycle. Developers can reference the source code to understand SDK capabilities and patterns before building their own servers.","intents":["Understand the MCP TypeScript SDK API and available classes/methods","Learn how to initialize a Server instance and configure transports","See examples of registering capabilities with the SDK","Understand the handler signature and response format for each capability type"],"best_for":["TypeScript developers building MCP servers for the first time","Teams evaluating the MCP TypeScript SDK before adoption","Developers migrating from other RPC frameworks to MCP"],"limitations":["SDK API may change between versions; examples may become outdated","No comprehensive API documentation in the server code itself","Limited to TypeScript; doesn't cover Python SDK patterns","Examples are simplified; production code may need additional patterns"],"requires":["TypeScript 4.5+ for type safety","MCP TypeScript SDK package","Node.js 16+ for execution","Familiarity with TypeScript async/await and type annotations"],"input_types":["TypeScript source code","SDK API calls and method signatures"],"output_types":["Working MCP server implementation","SDK usage patterns and examples","Type definitions and interfaces"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ for TypeScript SDK execution","MCP SDK TypeScript package (included in src/everything/)","Understanding of JSON-RPC 2.0 protocol basics","Familiarity with async/await patterns in TypeScript","MCP TypeScript SDK with tool registration API","JSON Schema knowledge for defining input/output schemas","TypeScript async function handlers","Understanding of tool naming conventions and documentation requirements","MCP TypeScript SDK with resource registration API","URI template syntax understanding (e.g., 'file://{path}', 'db://{query}')"],"failure_modes":["Reference implementation only — lacks production-grade error handling, monitoring, and observability","No built-in authentication or authorization beyond basic security patterns","Simplified state management without persistence or distributed coordination","Educational scope means some edge cases and failure modes are not fully handled","Tool schemas must be JSON Schema compatible — complex type systems require careful schema design","No built-in rate limiting or quota management per tool","Tool execution is synchronous within the handler — long-running operations should use async patterns","Error handling relies on exception propagation; no built-in retry or fallback mechanisms","No built-in caching — repeated resource requests re-fetch content from source","URI templates are simple string patterns; no complex routing or parameter validation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"ecosystem":0.49999999999999994,"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":"2026-06-17T09:51:03.039Z","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=everything","compare_url":"https://unfragile.ai/compare?artifact=everything"}},"signature":"8Nq8XqwxCno8oum8+HsJ8hMLhx8xpIIUx2cNANa7YymgzPd51Ux9JI4C8RzvcK3W+qZu9TDZcrHZmbGHDw1LBA==","signedAt":"2026-06-21T04:51:23.435Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/everything","artifact":"https://unfragile.ai/everything","verify":"https://unfragile.ai/api/v1/verify?slug=everything","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"}}