Starts a local inspector UI and proxy process for interactive MCP debugging., Only connect it to MCP servers and endpoints you trust during testing.
Privacy notes
Requests and tool responses from the inspected server may be visible in the local inspector session., Avoid testing with production credentials or private user data unless the environment is isolated.
Author
Model Context Protocol
Claim status
unclaimed
Last verified
2026-06-02
Decision playbook
Review trust signals before you adopt
Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.
Compare context
Selected
0
Current score
78
Baseline
—
Delta
No baseline selected
No major trust-signal divergence detected in the current selection.
Source and provenance checks
Complete
Confirm ownership and provenance before trusting install instructions.
Source link availableRequired
Open the canonical repository and verify ownership.
Done
Source provenance statusRequired
Marked as source-backed.
Done
Metadata reviewed
Registry metadata indicates a reviewed listing.
Done
Safety and privacy checks
Complete
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Done
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Done
Trust level risk gateRequired
Trust level does not block evaluation.
Done
Package and install checks
Needs review
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Done
Package verification flag
No package verification flag provided.
Pending
Checksum metadata
No checksum provided for downloaded artifact.
Pending
Compare-driven decision checks
Needs review
Use compare context to validate trade-offs before adoption.
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
MCP Inspector is the official developer tool for exercising Model Context Protocol servers before wiring them into Claude or another MCP client. It is useful when checking tool definitions, resource responses, server startup behavior, and transport configuration during MCP development.
Why it belongs
Maintained under the Model Context Protocol organization.
Supports interactive inspection of local MCP server implementations.
Provides a practical debugging path before adding a server to a real Claude configuration.
Disclosure
Editorial listing. No paid placement or affiliate link is used.
Official C# SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Microsoft, with NuGet packages for core MCP APIs, hosting and dependency injection extensions, ASP.NET Core HTTP servers, samples, API documentation, and cross-application access support.
Official Go SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Google, with packages for MCP, JSON-RPC, OAuth primitives, OAuth protected-resource metadata, clients, servers, transports, examples, and conformance work.
Official Java SDK for Model Context Protocol clients and servers, maintained in collaboration with Spring AI, with Java 17+ support, Maven artifacts, synchronous and asynchronous APIs, Reactive Streams, Project Reactor, JDK HttpClient, Servlet transport, JSON binding modules, and conformance tests.
✓Starts a local inspector UI and proxy process for interactive MCP debugging.
Only connect it to MCP servers and endpoints you trust during testing.
✓The official C# SDK is a protocol library; production risk comes from the MCP tools, resources, prompts, transports, and identity flows you implement with it.
Treat every MCP tool handler as an API endpoint: validate arguments, enforce permissions, bound side effects, and sanitize errors.
HTTP MCP servers need normal web-service controls, including authentication, TLS, request limits, logging policy, and abuse protections.
Cross-application access and identity assertion flows are security-sensitive and should be tested against the current MCP specification and enterprise policy.
✓The official Go SDK is a protocol library; the risk is in the MCP clients, servers, tools, resources, prompts, and transports you build with it.
Validate inputs, enforce capability checks, and bound side effects for every tool handler.
Use local transports for local-only integrations, and add authentication, TLS, authorization, logging, and rate limits before exposing network transports.
OAuth and protected-resource metadata are security-sensitive surfaces; test them against the current MCP specification and client expectations.
✓The official Java SDK is a protocol library; production risk comes from your MCP tools, resources, prompts, transports, authorization hooks, and framework integration.
Validate tool inputs, enforce caller permissions, bound side effects, and avoid returning raw Java exceptions or internal stack details to MCP clients.
Servlet, Spring, and remote transport deployments need authentication, TLS, request limits, observability policy, cancellation behavior, and abuse protection.
Spring AI MCP security and annotation support may simplify integration, but application owners still need to review authorization, tenant boundaries, and data retention.
Privacy notes
✓Requests and tool responses from the inspected server may be visible in the local inspector session.
Avoid testing with production credentials or private user data unless the environment is isolated.
✓MCP clients and servers built with the SDK may expose tool arguments, tool results, resource contents, prompt templates, user identity assertions, errors, traces, and logs.
Avoid leaking private resources, customer data, internal identifiers, tokens, privileged paths, or operational metadata in schemas, responses, examples, and logs.
Document which MCP client, server, model provider, transport, and logging system can observe each request before production use.
✓MCP clients and servers built with the SDK may expose request metadata, tool arguments, tool results, resource contents, prompt templates, OAuth state, errors, traces, and logs.
Do not leak private resource contents, customer data, internal identifiers, tokens, privileged paths, or operational metadata in schemas, error messages, examples, or logs.
Document which model provider, client, server, and transport can observe each request before deploying outside localhost.
✓Java MCP clients and servers may expose tool arguments, tool results, resource contents, prompt templates, request metadata, correlation IDs, logs, traces, and authorization context.
Avoid leaking secrets, customer data, private resources, internal identifiers, stack traces, privileged paths, or token values through schemas, responses, errors, or logs.
Document which MCP client, server process, Java framework, model provider, transport, and observability system can observe each request.
Prerequisites
A local or remote MCP server to inspect.
Node.js and npm/npx available in the development environment.
.NET project compatible with the SDK package targets and your chosen MCP transport.
A package choice: `ModelContextProtocol.Core`, `ModelContextProtocol`, or `ModelContextProtocol.AspNetCore`.
Authentication, authorization, and transport-security requirements for any HTTP-accessible MCP server.
Reviewed tool, resource, prompt, and identity-flow behavior before deploying beyond local development.
Go toolchain compatible with the SDK's current `go.mod` requirement and Go support policy.
A target MCP spec version and compatibility plan for the clients or servers you need to support.
Authentication, authorization, and transport-security requirements for non-local MCP deployments.
Reviewed tool, resource, prompt, and OAuth behavior before exposing production services.
Java 17 or newer and a Maven or Gradle build configured for the selected SDK artifact version.
A choice of core Java SDK usage, Spring AI MCP integration, or both.
A target transport, such as stdio, JDK HttpClient, Servlet, WebFlux, WebMVC, or another framework path.
Authentication, authorization, and data-exposure requirements for production clients and servers.