MCP Playground is an open-source web application that lets users test, browse, and interact with Model Context Protocol (MCP) servers directly in the browser. Below are 35 other ai apps with similar functionality to MCP Playground, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCP Playground is a web-based tool that allows developers to test, debug, and interact with Model Context Protocol (MCP) servers directly from their browser. It supports real-time logs, model comparisons, and agent building, making it ideal for AI developers and teams working with MCP-powered agents.
MyMCP is a free, open-source application for macOS that enables users to discover, install, and manage Model Context Protocol (MCP) servers across various AI tools. It provides unified configuration, GitHub metadata enrichment, and quick access from the menubar, streamlining server management for developers and AI enthusiasts.
MCPcat is an analytics and debugging tool for Model Context Protocol (MCP) agent sessions. It provides real-time monitoring, session replay, and issue tracking to help AI developers and product teams understand and improve agent performance.
MCP Framework is an open-source TypeScript framework that enables developers to quickly build Model Context Protocol (MCP) servers. It offers type-safe tools, auto-discovery, built-in authentication, and support for multiple transports, streamlining the development and deployment process for MCP-based applications.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
MCPM is an open-source command-line tool designed to manage Model Context Protocol (MCP) servers. It offers a range of features for discovering, installing, organizing, and sharing MCP servers, with a focus on global configuration and profile-based management. The tool enables users to search for MCP servers from a curated registry, install servers globally for use across environments, and organize servers into profiles to support different workflows. MCPM also provides seamless integration with MCP clients, allowing users to configure and connect servers to various client applications. Direct execution of servers for testing and debugging is supported through the command line, and the tool includes functionality for sharing servers securely using remote access tunnels. MCPM works with any MCP client by configuring servers to use its run command, and it specifically mentions compatibility with several AI assistants and coding agents, including Claude Desktop, Cursor, Windsurf, VSCode, Continue, Cline, Roo Code, OpenCode, Goose CLI, 5ire, Gemini CLI, Codex CLI, Qwen CLI, and Trae. Per-server enable and disable options are available for certain clients. The tool is delivered as a CLI application and can be installed using various methods, such as a shell script, Homebrew, pipx, or pip. MCPM is community-driven, open source, and distributed under the MIT License, with a commitment to being free to use. It is intended for developers and others who need to manage MCP servers efficiently across different clients and workflows.
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
MCP Hangar is an open-source, self-hosted control plane for managing Model Context Protocol (MCP) servers. It provides lifecycle management, security governance, and observability for organizations running AI agent infrastructure. Designed for platform teams needing robust MCP server oversight.
WebMCP is an open source JavaScript library that allows web developers to add Model Context Protocol (MCP) integration to their websites. It provides a customizable widget for LLM or agent interaction, enabling advanced AI-driven features and tool registration on any web page.
MCPHub is an open-source infrastructure tool for managing and scaling multiple Model Context Protocol (MCP) servers. It provides unified management, group organization, smart routing, and monitoring, making it easier for AI infrastructure engineers to operate MCP-based systems.
MCPJam is a development tool for testing and debugging MCP servers and ChatGPT apps both locally and via a web interface. It supports model comparison, UI preview, and CI/CD integration, helping AI developers ensure reliability before deployment.
MCPfinder is an open-source tool that helps AI agents discover and configure Model Context Protocol (MCP) servers. It inspects trust signals, manages environment variables, and generates install-ready configurations, streamlining integration for developers building AI agents that interact with external tools and data sources.
mcptest is an open-source CLI tool designed for automated testing of Model Context Protocol (MCP) servers in CI environments. It provides compliance scoring, security scanning, and schema drift detection, streamlining MCP server validation for developers and DevOps teams.
Simple MCP Client to quickly test and explore MCP servers from the command line
Agent MCP Studio is a free, browser-based platform for building, running, and exporting Model Context Protocol (MCP) tools and AI agents. It enables developers to specify tools in natural language, generate code with LLMs, and run agents entirely in the browser or via Docker. Designed for AI developers and researchers.
ContextMCP is an open-source, self-hosted MCP server that indexes documentation from various sources and provides a queryable context brain for AI agents. It supports AST-aware chunking, easy configuration, and is designed for developers building retrieval-augmented generation (RAG) systems.
Lookup MCP servers in the official MCP Registry by name or URL.
MCP Pre-Flight is a web-based submission auditing tool designed for developers preparing Model Context Protocol (MCP) servers for listing in the Claude and OpenAI directories. The platform addresses the challenge of ensuring that MCP server implementations meet directory requirements before undergoing formal review, aiming to catch common mismatches and issues that can lead to rejection. The tool performs a multi-layered audit process. At the wire level, it checks OAuth 2.1 with PKCE, dynamic client registration, authorization, token exchange, refresh flows, and MCP protocol endpoints such as initialize, tools/list, and tools/call. It also tests for resilience to malformed bodies and unknown methods. Each safe-to-invoke tool exposed by the MCP server is actually called with synthesized arguments to verify correct invocation. For tools that claim idempotency, the platform runs an idempotency probe by calling them twice and comparing the results. MCP Pre-Flight offers optional source-side analysis by accepting a GitHub repository URL. It uses the GitHub API to fetch the repository and runs an abstract syntax tree (AST) check, ensuring that handler implementations match their annotations. The tool also verifies that the README file mentions every tool declared in the source code. Additionally, it analyzes the language of responses for vocabulary that may contradict the tool's annotations. Each audit finding is tagged with the relevant directory—Claude or OpenAI—that the issue pertains to. The tool requires the HTTPS endpoint of a deployed MCP server, specifically one that responds to JSON-RPC tools/list. If OAuth is present, MCP Pre-Flight tests the full authentication flow. Authenticated checks can be unlocked by providing a test bearer token. For source analysis, public repositories can be used without authentication, while private repositories require a personal access token. MCP Pre-Flight is delivered as a free web tool. By simulating the directory review process and highlighting issues in advance, MCP Pre-Flight helps developers reduce the risk of delayed or rejected submissions when targeting the Claude and OpenAI directories.
RubyLLM::MCP is an open-source Ruby library that provides seamless integration of Model Context Protocol (MCP) tools, resources, and prompts into Ruby and Rails applications. It offers a Ruby-first API, OAuth 2.1 authentication, and real-time workflow support for developers building AI-powered chat and automation solutions.
LLDB Model Context Protocol (MCP) is an open-source protocol for integrating model context and automation capabilities with the LLDB debugger. It enables advanced scripting, IDE integration, and remote debugging for developers building or extending debugging tools.
sunpeak is an open-source CLI framework for building, testing, and shipping MCP Apps and connectors for AI hosts such as ChatGPT and Claude. It provides tools for E2E testing, hot reloading, and UI components, streamlining the development process for AI app developers.
Muppet is an open-source toolkit designed to help developers build, test, and deploy Model Context Protocols (MCPs) for AI applications. It provides standardized workflows and documentation, making it easier to integrate and manage MCPs in AI systems.
MCP Search Tool enables developers to search, load, and run MCP tools directly within Claude Code using a secure WebAssembly sandbox. It streamlines tool integration and management, eliminating the need for manual configuration or IDE restarts.
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
MCP (Model Context Protocol) server for pyscn Python code analyzer
MCP Shark is a forensic analysis and security tool for Model Context Protocol (MCP) communications. It offers real-time traffic monitoring, security scanning, and detailed request inspection for developers and security professionals working with MCP servers.
A production-grade Model Context Protocol (MCP) server for Wireshark
MCP Score is an independent trust registry that evaluates and rates Model Context Protocol (MCP) servers. It addresses the need for transparency and trust in the MCP server ecosystem by providing nightly updated scores based on multiple criteria, including security, freshness, adoption, quality, and trust. The platform is designed for users seeking to assess the reliability and security of MCP servers, such as developers, organizations, or anyone integrating with MCP-based tools. The scoring methodology is public and versioned, allowing users to understand how each server's MCPScore (ranging from 0 to 100) is calculated. The score is determined by weighted factors: security (35%), freshness (25%), adoption (20%), quality (10%), and trust (10%). MCP Score highlights top-rated servers, most downloaded servers, new arrivals, security risks, and servers experiencing score drops. Users can search and filter through a directory of over 46,000 MCP servers, browse by category (such as Databases, Dev Tools, Web Scraping, Automation, AI & ML, Finance, Monitoring, Communication, Search, Storage, and others), and compare servers based on score, stars, downloads, and other metrics. The registry covers MCP servers distributed via npm and PyPI, as well as those hosted on GitHub, and provides detailed listings with weekly download counts and repository star numbers. Users can monitor score changes, check for regressions, and identify potential security risks. The platform emphasizes its independence by stating it does not accept vendor money, reinforcing its position as an unbiased source of trust ratings for MCP servers. MCP Score is delivered as a web-based service accessible through its website. It serves as a resource for evaluating the security and trustworthiness of MCP servers across a wide range of categories and use cases.
Official MCP server for Automox
mcpvet is an open-source CLI tool that combines testing, linting, and contract validation for MCP servers. It integrates with pytest and ESLint, streamlining the development and quality assurance process for developers working with the Model Context Protocol.
Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers
A MCP server which proxies requests to a remote MCP server over streamable HTTP or SSE.
MCP server that wraps the basecamp CLI.
MCP-X is an open-source, single-file gateway that allows multiple clients to securely access and manage tools across servers using the Model Context Protocol (MCP). It features per-tool access control, REST API, JWT authentication, and live configuration reload, making it ideal for developers managing distributed tool environments.
