PHP MCP SDK
MCP ServerFree[Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)
Capabilities14 decomposed
attribute-based capability declaration with schema auto-generation
Medium confidenceDevelopers declare MCP capabilities (tools, resources, prompts) using PHP attributes (#[McpTool], #[McpResource], #[McpPrompt]) on class methods. The SDK's Discoverer and SchemaGenerator components automatically parse DocBlocks and method signatures using phpdocumentor/reflection-docblock to generate JSON Schema definitions for each capability, eliminating manual schema maintenance. This approach integrates with the Builder pattern to accumulate and register capabilities during server initialization.
Uses PHP 8.0+ attributes combined with DocBlock reflection to eliminate boilerplate schema definitions, integrating phpdocumentor/reflection-docblock for intelligent parsing of method signatures and documentation. The Builder pattern accumulates these declarations during initialization, creating a single source of truth between code and MCP definitions.
Eliminates schema duplication compared to Python MCP SDK's manual schema registration, leveraging PHP's native reflection and attributes for tighter code-to-protocol coupling.
builder-pattern server assembly with fluent configuration
Medium confidenceThe Server\Builder class (src/Server/Builder.php) implements a fluent builder pattern that accumulates MCP server configuration through method chaining. Developers call methods like ->addTool(), ->addResource(), ->addPrompt() to register capabilities, then ->build() constructs the complete Server instance with all dependencies wired. The builder manages capability loaders (ArrayLoader, Discoverer), transport configuration, session stores, and request handlers, providing a single assembly point that enforces initialization order and dependency injection.
Implements a strict builder pattern that separates configuration accumulation from server instantiation, with explicit transport layer abstraction (StdioTransport, StreamableHttpTransport) and pluggable session stores (PSR-16 compatible). The builder enforces initialization order and provides a single assembly point for all MCP components.
More flexible than Python SDK's direct Server instantiation because it decouples configuration from construction, enabling runtime transport swapping and easier testing with mock components.
error handling with mcp-compliant error responses
Medium confidenceThe SDK implements comprehensive error handling that catches exceptions during capability execution and converts them to MCP-compliant error responses with proper error codes and messages. The error handling pipeline includes validation errors (argument schema mismatches), execution errors (capability handler exceptions), and protocol errors (malformed requests). Each error type is mapped to an appropriate MCP error code (e.g., -32600 for invalid request, -32603 for internal error), with detailed error messages for debugging.
Implements a multi-stage error handling pipeline that catches exceptions at validation, execution, and protocol levels, converting each to MCP-compliant error responses with appropriate error codes. Error messages are structured to provide debugging information while maintaining security.
More structured than generic exception handling because it explicitly maps error types to MCP error codes, ensuring clients receive properly formatted error responses that comply with the MCP specification.
protocol message routing and json-rpc 2.0 serialization
Medium confidenceThe Server class implements the core MCP protocol message routing logic, handling JSON-RPC 2.0 serialization and deserialization of all MCP requests and responses. The protocol layer routes incoming requests (tools/call, resources/read, prompts/get, etc.) to appropriate request handlers, manages request/response correlation via JSON-RPC IDs, and handles notifications (one-way messages without response). The transport layer abstracts the underlying communication mechanism (STDIO, HTTP), while the protocol layer remains transport-agnostic.
Implements JSON-RPC 2.0 protocol routing that maps MCP methods to request handlers, with proper request/response correlation via JSON-RPC IDs and support for notifications. The protocol layer is transport-agnostic, allowing the same routing logic to work with STDIO and HTTP transports.
More protocol-compliant than ad-hoc message handling because it strictly follows JSON-RPC 2.0 specification, ensuring proper request/response correlation and error handling.
completion provider integration for llm context enhancement
Medium confidenceThe SDK includes a CompletionProvider capability that allows MCP servers to provide completion suggestions to AI clients, enhancing LLM context with dynamic suggestions based on partial input. Completion providers receive partial text and return a list of completion options with descriptions. This capability is useful for exposing autocomplete functionality, command suggestions, or context-aware recommendations to AI clients. Completion providers are defined similarly to tools and resources, with a handler that generates completions based on input.
Completion providers are first-class MCP capabilities that allow servers to provide dynamic suggestions to AI clients, enhancing LLM context with autocomplete and recommendation functionality. The execution pipeline validates input and invokes handlers to generate completions.
More integrated than external autocomplete services because completion providers are built into the MCP protocol, allowing AI clients to discover and use suggestions without additional API calls.
conformance testing and inspector-based validation
Medium confidenceThe SDK includes built-in testing infrastructure with conformance tests that validate MCP protocol compliance and inspector-based testing that captures and validates server behavior. The Inspector component intercepts all MCP messages (requests, responses, notifications) and records them for analysis. Conformance tests verify that the server correctly implements MCP specification requirements (e.g., proper error codes, valid response formats). This enables developers to validate their MCP servers against the specification without manual testing.
Provides built-in conformance testing and Inspector-based message capture that enables automated validation of MCP protocol compliance. The Inspector intercepts all messages and the conformance test suite validates against MCP specification requirements, with snapshot-based testing for regression detection.
More comprehensive than manual testing because it automates protocol compliance validation and captures all messages for analysis, enabling developers to catch specification violations early.
multi-transport protocol abstraction with stdio and http support
Medium confidenceThe SDK abstracts communication transport through a Transport interface with concrete implementations for STDIO (StdioTransport) and HTTP (StreamableHttpTransport). The Server class routes all MCP protocol messages through the selected transport, handling JSON-RPC 2.0 serialization, message framing, and bidirectional communication. This abstraction allows the same server logic to run in CLI environments (STDIO) or as HTTP endpoints without code changes, with the transport layer managing session lifecycle and connection state.
Provides a unified Transport interface that abstracts STDIO and HTTP communication, allowing identical server code to run in CLI (Claude Desktop) and HTTP (cloud) contexts. The transport layer manages JSON-RPC 2.0 framing, session lifecycle (via symfony/uid), and bidirectional message routing without exposing protocol details to capability handlers.
More deployment-flexible than Python SDK's STDIO-first approach, with explicit HTTP support enabling cloud-native MCP server architectures without requiring separate client/server implementations.
capability registry with pluggable loaders and discovery
Medium confidenceThe Capability\Registry stores all registered tools, resources, and prompts, populated by pluggable loaders (ArrayLoader for manual registration, Discoverer for attribute-based auto-discovery). The registry implements a lookup interface that the Server uses to resolve capability requests by name. Loaders can be chained or composed, allowing hybrid approaches where some capabilities are manually defined and others are auto-discovered from class attributes, with the registry merging results into a unified capability namespace.
Implements a pluggable loader architecture where ArrayLoader handles manual registration and Discoverer handles attribute-based auto-discovery, with the Registry merging results into a unified namespace. This enables hybrid approaches where capabilities come from multiple sources without code duplication.
More modular than monolithic registry approaches because loaders are composable and can be extended independently, supporting both declarative (attributes) and imperative (manual) capability registration patterns.
request handler execution with reference resolution and result formatting
Medium confidenceThe SDK's request processing pipeline routes incoming MCP requests (tools/call, resources/read, prompts/get) through specialized request handlers that resolve capability references, execute them with validated arguments, and format results. The ReferenceHandler resolves tool/resource/prompt names to actual capability objects, the execution layer invokes the capability with type-coerced arguments, and ResultFormatters convert execution results into MCP-compliant response objects. This pipeline includes error handling that catches exceptions and converts them to MCP error responses with proper error codes.
Implements a multi-stage request processing pipeline with explicit ReferenceHandler for capability lookup, argument validation via opis/json-schema, execution with type coercion, and ResultFormatters for MCP-compliant responses. Error handling is integrated at each stage, converting exceptions to MCP error responses with proper error codes.
More structured than ad-hoc request handling because it separates concerns (lookup, validation, execution, formatting) into distinct stages, making error handling and debugging more predictable.
session management with psr-16 compatible stores
Medium confidenceThe SDK implements session management through the Session interface with a PSR-16StoreSession implementation that persists session state to any PSR-16 compatible cache store (Redis, Memcached, file-based). Sessions are identified by UUIDs (via symfony/uid) and store client metadata, request history, and protocol state. The session store is pluggable, allowing developers to use their existing cache infrastructure (Laravel Cache, Symfony Cache) without additional dependencies. Session lifecycle is managed by the Server, with automatic cleanup and timeout handling.
Implements session management through a pluggable PSR-16 interface, allowing any PSR-16 compatible cache store (Redis, Memcached, file-based) to be used without code changes. Sessions are identified by UUIDs and managed by the Server, with automatic lifecycle handling and timeout support via cache TTLs.
More flexible than in-memory session storage because it supports distributed deployments and integrates with existing cache infrastructure, enabling stateless HTTP server architectures.
tool capability definition and execution with argument validation
Medium confidenceTools are MCP capabilities that represent executable functions exposed to AI clients. The Tool class encapsulates a name, description, JSON Schema for arguments, and an executable handler (callable or class method). When a client calls tools/call, the request handler validates arguments against the schema using opis/json-schema, coerces types to match PHP signatures, invokes the handler, and returns the result. Tools support both synchronous execution and can be defined via attributes (#[McpTool]) with automatic schema generation from method signatures and DocBlocks.
Tools are defined as first-class objects with integrated schema validation (opis/json-schema), automatic type coercion, and support for both attribute-based declaration (#[McpTool]) and manual registration. The execution pipeline validates arguments before invocation, ensuring type safety and providing clear error messages.
More type-safe than string-based tool definitions because arguments are validated against JSON Schema before execution, with automatic type coercion from JSON to PHP types.
resource capability definition with static and dynamic uris
Medium confidenceResources are MCP capabilities that represent data sources with static or dynamic URIs. The Resource class encapsulates a URI template, description, MIME type, and a handler that reads or lists resource content. Resources support URI templates with variables (e.g., 'file://{path}') that are resolved at runtime. The ResourceTemplate class enables parameterized resource definitions where clients can request resources with specific parameters. When a client calls resources/read or resources/list, the handler resolves the URI, fetches content, and returns it with the specified MIME type.
Resources are defined with URI templates that support variable substitution, enabling parameterized access to data sources. The ResourceTemplate class enables reusable resource definitions with arguments, and the execution pipeline resolves URIs at runtime before invoking handlers.
More flexible than static resource definitions because URI templates enable dynamic resource addressing without requiring separate resource definitions for each possible URI.
prompt capability definition with template arguments
Medium confidencePrompts are MCP capabilities that represent template-based prompt generators with arguments. The Prompt class encapsulates a name, description, arguments schema, and a handler that generates prompt text based on provided arguments. Prompts support parameterized templates where clients can request prompt generation with specific argument values. When a client calls prompts/get, the handler receives the arguments, generates the prompt text, and returns it as content. Prompts can be defined via attributes (#[McpPrompt]) with automatic schema generation from method signatures.
Prompts are defined as first-class objects with integrated argument validation and support for attribute-based declaration (#[McpPrompt]). The execution pipeline validates arguments before invoking the handler, ensuring type safety and providing clear error messages for invalid inputs.
More structured than ad-hoc prompt generation because arguments are validated against JSON Schema before execution, enabling AI clients to discover available parameters and provide appropriate values.
json schema validation and generation from php types
Medium confidenceThe SDK uses opis/json-schema for validating MCP request arguments against capability schemas, and phpdocumentor/reflection-docblock for generating schemas from PHP method signatures and DocBlocks. The SchemaGenerator component parses type hints (scalar, class, union types) and PHPDoc annotations to produce JSON Schema objects that describe tool/resource/prompt arguments. This enables automatic schema generation from attributes without manual schema writing, with support for complex types like arrays, objects, and nullable types.
Combines opis/json-schema for validation with phpdocumentor/reflection-docblock for schema generation, enabling automatic schema creation from PHP type hints and DocBlocks. The SchemaGenerator intelligently parses method signatures to produce JSON Schema that matches PHP types, supporting scalar types, classes, unions, and nullable types.
More automated than manual schema definition because it derives schemas from existing PHP type hints and documentation, reducing duplication and keeping schemas in sync with code.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with PHP MCP SDK, ranked by overlap. Discovered automatically through the match graph.
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Everything
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Buildable
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AI Manifest
Optional reference for /.well-known/ai.json + OpenAPI/JSON Schema discovery (with MCP/agents.json...
Best For
- ✓PHP developers building MCP servers who want rapid capability exposure
- ✓teams migrating existing PHP codebases to MCP without schema rewriting
- ✓developers using IDE autocompletion and type hints as documentation
- ✓PHP developers building MCP servers who prefer fluent APIs over configuration files
- ✓teams needing flexible server assembly for multiple deployment contexts (CLI, HTTP, containerized)
- ✓developers integrating MCP servers into existing PHP frameworks (Laravel, Symfony)
- ✓developers building robust MCP servers with proper error handling
- ✓teams needing clear error messages for debugging
Known Limitations
- ⚠DocBlock parsing is limited to PHPDoc format — non-standard documentation won't be captured
- ⚠Complex nested types in method signatures may require manual schema refinement
- ⚠Attribute discovery requires explicit class scanning — no automatic file globbing without Symfony Finder integration
- ⚠Builder state is mutable — no immutability guarantees if builder is reused after build()
- ⚠Complex capability registration logic must be expressed through method chaining, which can become verbose for 50+ capabilities
- ⚠No built-in validation of capability conflicts or duplicate registrations until build() is called
Requirements
Input / Output
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[Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)
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