inspector
★ 2.0k
vs
semble
★ 4.5k
inspector vs semble
inspector: MCPJam Inspector is a comprehensive development platform for MCP servers, apps, and ChatGPT applications. It offers robust tools for debugging, chatting with LLMs, inspecting server components, and evaluating performance, thereby streamlining the development workflow without requiring external services like ngrok or separate LLM subscriptions. It supports multiple deployment methods, including a hosted web app, desktop applications, and a terminal-based CLI/SDK, facilitating flexible iteration and seamless integration into CI/CD pipelines.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.
01
TL;DR
Choose inspector if…Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
inspector01Debug: Inspect JSON-RPC messages and OAuth exchanges with full traces.
02Chat: Interact with any LLM against your server, with full trace visibility into tool calls and context.
03Inspect: Explore your server’s tools, resources, and prompts in a single interface.
04Evaluate: Run evaluations across multiple LLMs and track accuracy over time to catch regressions.
05CI/CD: Integrate CLI and SDK into pipelines (e.g., GitHub Actions) for automated testing, evals, and OAuth checks.
semble01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04
Use Cases
inspector↳Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.
↳Automated Testing & CI/CD: Integrate into GitHub Actions or other CI/CD pipelines to run end-to-end tests, evaluations, and specification conformance checks on every pull request.
↳Team Collaboration: Share server configurations and collaborate in real-time on debugging and evaluation within shared workspaces.
semble↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05
Best For
inspectorDev ToolingObservability
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between inspector and semble?
Both inspector and semble are in the Observability category. inspector has 2.0k stars, while semble has 4.5k stars.
Which is better, inspector or semble?
The best choice depends on your use case. Choose inspector if Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels., and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is inspector free or open source?
Yes, inspector is open source on GitHub (NOASSERTION).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→