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modelcontextprotocol avatar

modelcontextprotocol/inspector

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8,721 نجوم·1,157 تفرعات·TypeScript·other·6 مشاهداتmodelcontextprotocol.io↗

Inspector

The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface and a transport proxy to discover, inspect, and execute the tools, prompts, and resources provided by an MCP server.

The project serves as a debugger and compliance tester to verify that server implementations adhere to the protocol specification and JSON-RPC standards. It allows for real-time monitoring of message exchanges and logs between clients and servers across various transport layers, such as standard input/output and Server-Sent Events.

The tool covers a broad range of testing capabilities, including tool execution validation using JSON schemas, resource inspection, and the testing of prompt templates. It also facilitates connectivity debugging to ensure stable communication during the initial handshake and capability negotiation phase.

Features

  • Model Context Protocol - Implements a standardized protocol for connecting AI models to local data sources and external tools.
  • Compliance Debugging - Provides an interactive interface to inspect protocol compliance and debug server behavior in real time.
  • LLM Tooling Integrations - Implements a standardized interface for large language models to discover and invoke external tools and data.
  • Model Context Protocol Implementations - Implements the standardized Model Context Protocol client to consume tools, resources, and prompts across various transports.
  • Model Context Protocol Implementations - Defines executable functions that a model can trigger to perform actions or retrieve information.
  • Protocol Debugging - Provides a web-based tool for inspecting and validating tools, resources, and prompt templates in MCP servers.
  • Server Inspection Interfaces - Provides an interactive interface to discover and execute tools, prompts, and resources provided by an MCP server.
  • API Client Connectivity - Coordinates the creation, permissions, and termination of multiple isolated connections between clients and servers.
  • Dynamic Tool Discovery - Provides mechanisms for runtime introspection of external tool capabilities, schemas, and metadata via the protocol.
  • External System Integrations - Implements a standardized way for AI models to connect with and execute tasks across external data sources and workflows.
  • External Tool Discovery - Enables the dynamic discovery of available tools and their schemas from remote servers.
  • Input Validation Schemas - Uses JSON Schema to enforce strict input and output contracts for LLM tool and prompt interactions.
  • MCP Servers - Implements Model Context Protocol servers that expose tools, resources, and prompts to AI clients.
  • Resource Exposure - Exposes specialized tools, prompts, and read-only data resources through standardized protocol primitives.
  • Transport Layer Connectivity - Manages connectivity to servers using various transport layers including standard I/O, SSE, and streamable HTTP.
  • Transport Monitoring - Ships a transport proxy for monitoring real-time message exchanges and logs between MCP clients and servers.
  • MCP Subregistries - Exposes server metadata via OpenAPI and provides custom ratings and security scans.
  • Structured Tool Outputs - Returns tool outputs as any valid JSON value based on defined output schemas.
  • Tool Registration - Registers callable tools that a model can trigger to perform specific actions.
  • Model Server Clients - Provides the client-side integration logic needed to consume services from standardized Model Context Protocol servers.
  • Prompt Template Testing - Allows executing prompt templates with custom inputs to validate and preview generated model messages.
  • Tool Calling - Provides the ability to execute external functions and tools as requested by a language model.
  • Tool Schema Definitions - Implements standardized JSON Schema definitions to describe tool interfaces for AI agents.
  • MCP Servers and Directories - Provides a way to search open catalogs and APIs to find and install available servers.
  • Local File Operations - Performs basic filesystem operations including reading, creating, and searching local documents.
  • Structured Resource Exposure - Provides structured data and context that can be retrieved and used by AI models.
  • Server Capability Discovery - Provides mechanisms for querying servers to determine supported groups, versions, and available resources.
  • Server Metadata Schemas - Defines a consistent schema for server identity, runtime configuration, and capabilities.
  • Debugging and Inspection Tools - Offers interactive tools to inspect available resources, metadata, and active subscription states.
  • Server Capability Inspection - Verifies server-exposed tools and resources by monitoring real-time notification streams.
  • Tool Invocation Interfaces - Implements a protocol for models to trigger specific external functions using provided arguments.
  • Server Development Tooling - Provides a transport-agnostic interface to invoke and validate tools, prompts, and resources.
  • Client Capability Declarations - Allows clients to declare supported capabilities and log levels on every request to ensure server-side feature compatibility.
  • Tool Discovery - Retrieves paginated lists of tools exposed by a server, including their names and JSON schemas.
  • Server Metadata Publishers - Registers server details and capabilities in a centralized repository to facilitate discovery.
  • MCP Registry Integrations - Integrates server metadata into clients and sub-registries using OpenAPI specifications and SDKs.
  • Server Metadata APIs - Retrieves lists of available servers and version details through a REST API.
  • Capability Negotiation Protocols - Synchronizes supported protocol versions and optional extensions by exchanging feature maps during the initial handshake.
  • Response Streaming - Processes response data incrementally via Server-Sent Events or standard I/O to support real-time progress notifications.
  • Protocol Debugging - Uses a transport proxy and web interface to decode and validate protocol message exchanges.
  • Transport Protocols - Implements the transport protocol specifications for moving data between clients and servers via local and remote methods.
  • Stdio Transports - Implements a communication channel that uses standard input and output for exchanging JSON-RPC messages between processes.
  • HTTP Exchange Inspectors - Includes a transport proxy to inspect and visualize the full lifecycle of HTTP message exchanges between clients and servers.
  • Internal Messaging Protocols - Manages the bidirectional exchange of JSON-RPC messages and stateful sessions between host applications and servers.
  • JSON-RPC Implementations - Implements the JSON-RPC protocol for structured, bidirectional communication between clients and servers.
  • Protocol Connectivity Diagnostics - Verifies network connectivity and protocol handshakes by executing raw command sequences.
  • Transport Abstractions - Provides a unified interface that abstracts communication across different transports like stdio and SSE.
  • Protocol Interface Standards - Implements a shared OpenAPI specification to ensure consistent interfaces across different registry providers.
  • Compliance Enforcement Tools - Provides automated verification that server implementations adhere to the standardized Model Context Protocol specification.
  • Filesystem Access Boundaries - Specifies permitted directory scopes to constrain the server's filesystem operations.
  • Remote Server Registrations - Defines publicly accessible server locations using HTTP or SSE transports to enable multi-tenant deployment configurations.
  • Tool Exposure Interfaces - Provides standardized interfaces that allow AI agents to discover and invoke external functional tools and data.
  • Session Coordination - Coordinates connection lifecycles, including handshakes and heartbeats, to maintain stable communication sessions.
  • Protocol Compliance Testing - Verifies that server implementations adhere strictly to the Model Context Protocol specification and JSON-RPC standards.
  • Tool Execution Validation - Provides the ability to execute tools with custom parameters and inspect outputs to validate functional correctness.
  • Long-term Memory Stores - Stores and retrieves information using a knowledge graph to provide a long-term memory system.
  • Task Completion Signals - Signals the client when out-of-band interactions are finished to allow the system to retry blocked requests.
  • User Input Elicitation - Implements a protocol for requesting structured additional information from users via the client.
  • Task Input Elicitation - Collects required structured data from clients to satisfy requests during the execution of asynchronous tasks.
  • MCP Server Management - Offers interfaces for managing external MCP server connections, including on-demand connection and disconnection to preserve context.
  • Prompt Retrieval Interfaces - Implements interfaces for fetching and serializing prompt templates from servers.
  • Task Cancellation Handlers - Provides mechanisms to terminate active agent tasks to prevent unnecessary resource consumption.
  • Workflow Validation - Verifies that agentic loops and tool call sequences produce correct structured results and handle errors.
  • AI Prompt Engineering Templates - Offers structured instruction sets and context definitions as templates to guide AI model interactions.
  • Tool Result Aggregators - Reintegrates outputs from executed tools back into the model's conversation context.
  • Model Completion Requests - Enables servers to trigger text, audio, or image generation requests through a client.
  • Selection Controls - Provides mechanisms to restrict or force the use of specific tools during model generation.
  • Human-in-the-Loop Interfaces - Integrates human approval steps into automated agent workflows during model response sampling.
  • Remote Connectivity - Enables secure access to tools and resources hosted on remote internet servers via URLs.
  • Model Context Protocol Clients - Provides the client-side connectivity required to trigger recursive model interactions and agentic behaviors.
  • Natural Language Query Interfaces - Provides an interface for users to interact with tools and systems using natural language prompts.
  • Prompt Templates - Provides systems for defining and managing reusable prompt structures for language models.
  • Paginated Results - Returns lists of available resources, templates, and tools in smaller paginated chunks to optimize performance.
  • Live Update Subscriptions - Allows clients to subscribe to real-time status changes for specific tasks via push notifications.
  • Workflow Result Retrieval - Fetches the final outputs of completed long-running asynchronous processes using unique task identifiers.
  • Task Status Push Notifications - Pushes real-time status changes for asynchronous tasks to clients via protocol notifications.
  • UI Content Retrieval - Delivers bundled HTML content to a host via a resource handler using a specific URI scheme.
  • Local Development Servers - Connects clients to local resource servers using configuration files for secure inter-process communication.
  • Server Capability Exposure - Publishes available resources, tools, and prompts to clients to extend the host's functional capabilities.
  • Protocol Interaction CLIs - Executes protocol methods such as listing tools or calling functions directly from the command line.
  • Protocol Argument Suggestions - Returns contextual value suggestions for arguments used within prompt templates and resource URIs.
  • Task Completion Notifications - Notifies the client upon the completion of out-of-band tasks to resume the primary process.
  • Agent-to-Server Bridges - Establishes a bridge that allows frontend interfaces to trigger server-side tools and receive their execution results.
  • Background Task Managers - Tracks the status, retrieves results, and manages the cancellation of long-running asynchronous operations.
  • Client Resource Root Definitions - Constrains the server's scope of operation by specifying local filesystem root paths exposed by the client.
  • Connection Establishment Protocols - Establishes bidirectional network connections to servers using stdio or Server-Sent Events transports.
  • Custom Transport Protocols - Creates bidirectional communication channels using various transports that preserve JSON-RPC formats.
  • Protocol Negotiation - Coordinates compatible protocol versions between clients and servers during the handshake process.
  • Network Protocol Testing - Debugs transport layers like stdio and SSE to ensure stable communication between clients and servers.
  • Connection and Session Management - Tracks and maintains the lifecycle of active network connections through handshakes and heartbeats.
  • Connection Lifecycle Managers - Handles automated state transitions, heartbeats, and reconnection logic to maintain stable communication channels.
  • Interactive Input Requests - Sends requests for missing information and delays execution until the required data is provided.
  • Request Cancellations - Allows the immediate termination of pending network requests by closing response streams.
  • Asynchronous Operation Trackers - Retrieves paginated collections of active tasks to track multiple concurrent asynchronous operations.
  • Iframe Sandboxing - Isolates interactive UI components within sandboxed iframes to prevent unauthorized DOM access to the host.
  • Asynchronous Task Execution - Tracks long-running operations using unique identifiers to poll for status and retrieve final results.
  • Task Coordinations - Synchronizes workflows and tracks the progress of expensive operations, pausing when user input is required.
  • Task Status Polling - Implements patterns for checking the current state, progress, and result of asynchronous background operations.
  • JSON Schema Validation - Ensures embedded message schemas conform to declared dialects to maintain protocol compatibility.
  • Request Lifecycle Management - Manages the execution flow of requests, including standardized error reporting and task cancellation.
  • Task Progress Monitors - Monitors the real-time status of asynchronous operations through polling or status update notifications.
  • Log Streaming - Sends structured log messages with RFC 5424 severity levels to provide visibility into internal events.
  • Log Stream Monitors - Streams server logs and notifications in real time to allow developers to debug internal behavior.
  • Structured Logging - Implements structured logging using RFC 5424 severity levels to ensure consistent runtime visibility.
  • Host Communication Interfaces - Enables the exchange of data and tool calls between a rendered UI and the host application using JSON-RPC.
  • Interactive UI Delivery - Serves HTML content through a standardized URI scheme to provide rich visual experiences.
  • Interactive Widgets - Renders searchable pickers, charts, and live dashboards inline within the chat interface.
  • Interactive Model Output Rendering - Renders AI model responses as interactive UI components like charts, forms, and video players.
  • Sandboxed Rendering Components - Isolates interactive server-provided HTML components within secure sandboxed iframes to protect the host DOM.
  • Model Context Protocol - Visual testing and debugging tool for MCP servers.
  • Development and Debugging Tools - Official visual tool for debugging and testing MCP server interactions.
  • Model Context Protocol - Visual testing and debugging tool for protocol development.

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الأسئلة الشائعة

ما هي وظيفة modelcontextprotocol/inspector؟

The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface and a transport proxy to discover, inspect, and execute the tools, prompts, and resources provided by an MCP server.

ما هي الميزات الرئيسية لـ modelcontextprotocol/inspector؟

الميزات الرئيسية لـ modelcontextprotocol/inspector هي: Model Context Protocol, Compliance Debugging, LLM Tooling Integrations, Model Context Protocol Implementations, Protocol Debugging, Server Inspection Interfaces, API Client Connectivity, Dynamic Tool Discovery.

ما هي البدائل مفتوحة المصدر لـ modelcontextprotocol/inspector؟

تشمل البدائل مفتوحة المصدر لـ modelcontextprotocol/inspector: modelcontextprotocol/modelcontextprotocol — Model Context Protocol is a standardized framework for connecting large language models to external data sources and… mcp-use/mcp-use — mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous… modelcontextprotocol/typescript-sdk — This project provides a TypeScript software development kit for the Model Context Protocol, a standard designed to… mark3labs/mcp-go — mcp-go is a Go implementation of the Model Context Protocol (MCP) providing an SDK and framework for building servers… prefecthq/fastmcp — FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models… modelcontextprotocol/go-sdk — This is a software development kit and framework for implementing the Model Context Protocol in Go. It provides a…

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