modelcontextprotocol/servers

Features

• AI Context Integration Protocols - Standardizes communication channels to link language models with external data sources and functional tools.
• AI Security Orchestrators - Enforces strict security boundaries and access controls while managing isolated connections between AI hosts and external services.
• Schema-Based Tool Definitions - Exposes functional capabilities through typed interfaces that allow models to discover and execute operations with validated inputs.
• AI Agent Tool Integrations - Connects artificial intelligence models to external software, databases, and APIs for functional task execution.
• AI Interoperability Layers - Creates a unified interface layer that enables seamless interaction between diverse AI clients and backend service providers.
• Capability Negotiation Protocols - Manages the exchange and agreement of functional capabilities between clients and servers during session initialization.
• JSON-RPC Message Buses - Facilitates the exchange of structured requests and notifications between clients and servers over transport-agnostic communication channels.
• Service Interoperability Layers - Abstracts service discovery and execution across heterogeneous environments using vendor-neutral interface layers.
• Stdio Transports - Supports inter-process communication by exchanging newline-delimited JSON-RPC messages over standard input and output streams.
• Remote Procedure Call Specifications - Implements a JSON-RPC messaging standard to define bidirectional communication patterns for distributed service architectures.
• Resource Exposure Interfaces - Offers structured, read-only access to files, databases, or API documentation for retrieving and supplying relevant context.
• Tool Exposure Interfaces - Provides schema-defined interfaces that allow models to discover and execute specific operations with typed inputs.
• Context Injection Frameworks - Augments language model reasoning by providing structured, read-only access to internal data, documentation, and file systems.
• Server Capability Exposure - Publishes server resources, tools, and prompts to allow external clients to interact securely with application data and business logic.
• HTTP Transports - Enables communication over HTTP using POST requests for messages and optional Server-Sent Events for streaming notifications.
• Sandboxed Code Execution Environments - Maintains conversation context and executes tool calls through active sessions to generate coherent task results.
• Resource Access Control Layers - Enforces least-privilege access, authorization flows, and scope management for external data and tool integration.
• Connection Initialization - Initializes connections by exchanging protocol versions, capability sets, and implementation details to establish compatibility.
• AI Protocol Extensions - Extends agent capabilities through standardized interfaces that enable interactive UI, asynchronous tasking, and custom authorization logic.
• Server Metadata Registries - Maps server identifiers to installation sources and execution instructions to facilitate discovery within a standardized framework.
• Request Timeout Management - Defines request deadlines and cancellation notifications to prevent resource exhaustion from hung or unresponsive connections.
• Subprocess-Based Isolation - Executes service instances as independent host-managed processes to enforce security boundaries and resource management.
• Authorization Flows - Orchestrates access token acquisition via user-authorized redirects, utilizing PKCE and audience-bound resource parameters for secure authorization.
• Server Authenticity Verification - Validates server identity through namespace-based authentication and domain-bound trust to ensure secure, reliable connections.
• Session Management - Secures persistent connection contexts by enforcing validation checks that prevent unauthorized impersonation during ongoing sessions.
• Asynchronous Task Execution - Processes long-running operations by returning durable handles that allow clients to poll for progress and retrieve final results.
• Bearer Token Authentication - Authenticates protected resource requests by requiring the inclusion of bearer tokens within HTTP headers.
• AI Completion Sampling - Enables completion requests that incorporate human-in-the-loop approval workflows for added oversight.
• Agent Protocols - Official server implementations for the Model Context Protocol.
• MCP Server Collections - Official collection of reference servers for common tasks and learning.
• Model Context Protocol - Official collection of standardized model context protocol server implementations.
• Databases and Data - Reference implementation for database access.
• Browser Automation - Official reference for flexible web content retrieval.
• Developer Tools and Utilities - Demonstrate core protocol capabilities and features.
• File System Access - Official reference implementation for local file system operations.
• Model Context Protocol - Official reference implementations for various data sources.
• Reference Servers - Reference / test server with prompts, resources, and tools
• Version Control Integration - Official reference implementation for local Git repository analysis.
• Knowledge and Memory - Provide persistent memory systems based on knowledge graphs.
• Resource-Oriented Data Access - Exposes structured, read-only interfaces for retrieving external information to enrich dynamic model context.
• AI Context Orchestration - Aggregates context across multiple isolated server connections while simultaneously managing the lifecycle of each client.
• Client Session Management - Tracks individual user connection states to ensure reliable and consistent communication with external data sources.
• Service Connection Configurations - Standardizes configuration formats for execution arguments to simplify the discovery and launching of local service instances.
• Protocol Error Handling - Resolves protocol-level failures including version mismatches, negotiation errors, and request timeouts during operation.
• Event Subscriptions - Delivers real-time status updates directly to clients through subscriptions to avoid inefficient polling cycles.
• Filesystem Access Boundaries - Restricts filesystem operations to predefined directories to enforce strict access boundaries for server processes.
• Extension Management - Integrates supplementary authorization mechanisms like OAuth 2.0 to enhance security beyond core protocol capabilities.
• Client Registration Protocols - Registers client applications using metadata or dynamic procedures to establish trust and obtain necessary access credentials.
• Token Validation - Verifies that tokens are scoped correctly to specific servers before propagation to prevent unauthorized access to downstream APIs.
• Prompt Management Workflows - Organizes reusable, parameterized instruction templates that guide language models through specific workflows using integrated tools and data sources.
• Spam Prevention Mechanisms - Requires namespace ownership verification and strict field validation to prevent unauthorized or malicious registry submissions.
• Authorization Server Discovery Mechanisms - Queries well-known URIs and authentication headers to automatically identify authorization server endpoints and their supported capabilities.
• CSRF Protections - Restricts URL fetches during metadata discovery to prevent unauthorized access to internal network resources or cloud metadata endpoints.

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