Looking for something like modelcontextprotocol/inspector? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 16 are open source.
The MCP Inspector provides a visual testing tool for Model Context Protocol servers.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | modelcontextprotocol/servers: Model Context Protocol Servers | — | Not stated | — |
| 2 | punkpeye/awesome-mcp-servers | — | Yes | — |
| 3 | DNS Speed Test | — | Not stated | Web |
| 4 | onUI | — | Yes | — |
| 5 | yet another bench script | — | Not stated | Linux |
| 6 | awesome-discord-communities | — | Not stated | — |
| 7 | pylyzer | — | Yes | — |
| 8 | Checkmate | — | Yes | — |
| 9 | Sourcegraph | — | Not stated | Web |
| 10 | MutahunterAI | — | Yes | — |
The repository collects server implementations for the Model Context Protocol.
A curated collection of servers implementing the Model Context Protocol.
Benchmark DNS-over-HTTPS servers from your browser and compare their response times with DNS Speed Test.
onUI lets users annotate web interfaces and export structured context for AI agents.
Yet-Another-Bench-Script estimates Linux server performance using fio, iperf3, and Geekbench.
Find Discord communities for programmers in this curated directory of community servers.
Python code can be analyzed with pylyzer, a static analyzer and language server.
Checkmate monitors server hardware, uptime, response times, and incidents as a self-hosted open-source tool.
Sourcegraph provides code search and context tools for developers working across repositories and large codebases.
Mutahunter provides open-source mutation testing for evaluating software tests.
Voice Lab provides a framework for testing and evaluating voice agents.
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
Change just one letter and get github repo context to use as context for your LLM.
Semantic Kernel helps integrate large language model technology into applications.
GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
dl-translate is a library for translating text between languages using transformer models.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Efficient fine-tuning of quantized language models is the focus of QLoRA, a method documented in this repository.
Python developers can use gensim for topic modeling and related natural language processing tasks.
Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.
Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.
TextAnalysis.jl is a Julia package for text and language data, with tools such as corpora, TF-IDF, and topic models.
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