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Alternatives
Software like mcptest
What else does this job. Matched on what each project does, not on who links to whom.
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- mcpvetpypi.orgmcpvet 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.
- MCPMmcpm.shMCPM 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-mctspypi.orgmcp-mcts is an open-source CLI tool for local MCP security scanning, attack chain analysis, inventory management, and CI integration. It supports optional Semgrep and LLM analysis, making it suitable for security engineers and DevOps teams focused on codebase security.
- mcp-probe-cligithub.comTest your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.
- MCP Playgroundmcpplayground.techMCP Playground is an interactive playground for the Model Context Protocol. It is built to test remote MCP servers in the browser, letting users paste a server URL, inspect what it exposes, and run tools live without installation. The service supports remote endpoints over Streamable HTTP, SSE, and WebSocket, and it says it can auto-detect the right protocol or connect directly via ws://. It presents the tools, resources, and prompts a server exposes, shows full JSON Schema, and runs them through auto-generated forms. The page also lists a schema linter for grading MCP servers A–F with 15+ lint rules, and a quality dashboard for browsing registry-wide grades. A public REST API is mentioned for inspecting, linting, and health-checking MCP servers, and the site also offers an in-browser sandbox for stdio-based npm MCP servers via WebContainers. MCP Playground is aimed at people working with MCP servers, including server authors and developers. The page also offers a public registry view with 852+ servers, examples for testing live servers, and an embeddable “Try in MCP Playground” badge for README files. It says authenticated servers can be used with a user’s own API key and authorization headers. The site is delivered in the browser and requires no installation. It is built on the official MCP Registry and the official MCP SDK, and it is open source under the AGPL v3 license. The page also links to an associated mcpx CLI and CI workflow for running the linter in terminals and pipelines, with mentions of GitHub Actions, GitLab CI, and other CI systems.
- MCPcatmcpcat.ioMCPcat, now called AgentCat, is analytics and observability software for Claude Connectors and ChatGPT Apps. It is built to show how agents experience a product, trace session activity, uncover agent intent, and surface issues as they arise. The product centers on session replay and debugging. It can step through every tool call in a session and show the request, the response, and any exact error encountered. AgentCat also groups errors, hallucinations, and crashes by impact, tracks per-tool performance and error rates, and helps identify which tools are causing problems. Sessions are enriched with goals based on agent activity, trends, and session history, and thousands of sessions are grouped into clear goals so new use cases can surface. It also offers analytics over an MCP server, A/B tests for validating solutions, and a way to mention AgentCat in Slack for triage. Existing tools can be connected through the MCP server. AgentCat is aimed at teams building for agents, including developers and teams that want to understand their MCP server and their users. The site describes it as useful for teams building products where agents interact with software. Pricing is published in three tiers. Free is listed at $0 forever, with no card required, 500 sessions per month, one project, up to three teammates, session replay, and an analytics dashboard. Growth is $160 per month billed monthly and adds 2,000 sessions per month, unlimited projects, up to 10 teammates, issues and error grouping, and an LLM Goals add-on. Enterprise has custom annual pricing with invoice billing and includes custom session volume, unlimited projects, custom team size, exports to S3, Snowflake, or BigQuery, SSO and SAML, audit logs, priority support via Slack, and SLA guarantees. AgentCat also says its SDKs are open-source and available on GitHub for independent review and feedback, and it supports self-hosting on the user’s own cloud infrastructure.
- mcptrendsmcptrends.devmcptrends provides data-driven insights into the adoption of Model Context Protocol (MCP) servers. It offers momentum rankings, trend analysis, and leaderboards to help developers and organizations identify the most promising MCP implementations. CLI and SDK are planned for deeper integration.
- mcp-agent-testergithub.commcp-agent-tester is an open-source tool for inspecting, testing, and running MCP servers and agents. It provides both a web UI and CLI, supports JSON trace export, and is designed for developers working with Model Context Protocol agents and infrastructure.
- mcpsecgithub.comSecurity scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
- mcp-chatgithub.comSimple MCP Client to quickly test and explore MCP servers from the command line
- mcp-strikepypi.orgmcp-strike is an open-source command-line tool designed for active, runtime adversarial testing of Model Context Protocol (MCP) servers. It helps security engineers and red teams identify vulnerabilities and weaknesses by simulating attacks and scanning for issues. The tool supports automated security assessments and is freely available under the MIT license.
- mcp-checkuppypi.orgmcp-checkup is an open-source CLI utility that audits MCP server setups, measuring context tax and hygiene. It helps AI infrastructure engineers and developers ensure their Model Context Protocol servers are efficient and healthy by providing detailed health checks and token analysis.
- mcp-contractpypi.orgmcp-contract provides contract testing for Model Context Protocol (MCP) servers. It snapshots the current tool surface and automatically fails CI pipelines when changes would break agents or tools that depend on it. Useful for teams building and maintaining LLM agent tooling to ensure backward compatibility.
- MCP Playgroundmcpplaygroundonline.comMCP Playground is a free browser-based testing tool for the Model Context Protocol. It is meant for testing MCP servers, clients, and tools directly in the browser, with no installation or configuration required. The service is aimed at developers and is described as a way to validate protocol implementations, test tools before deployment, and explore MCP servers and resources. The site supports connecting to remote MCP servers from a browser and browsing their tools, prompts, and resources. It offers real-time request and response logs, full request/response JSON for each tool call, per-call latency, and credit cost details. The page also mentions an MCP Security Scanner, an MCP Token Counter, a Config Generator, MCP Tutorials, and MCP Recipes. In addition, the MCP Agent Studio lets users build, test, and ship MCP-powered AI agents in the browser, compare up to four AI models in parallel, and export an agent as a production API with bearer authentication and a server-side locked prompt. Transport support includes HTTP, SSE, Streamable HTTP, and local stdio/CLI processes. The site says users can connect up to four servers at once in one chat, with tools merged automatically, and that agents can be saved and reused as named configurations. It also lists browsing 10,000+ MCP servers, including Supabase, Playwright, Figma, and GitHub, and says users can add any server with one click. For local tools, it mentions running npx or uvx alongside remote HTTP servers and injecting environment variables for authentication in the UI. MCP Playground is described as free, with no sign-up or credit card needed, and the Agent Studio mentions free credits on sign-up. The page also says features remain free and no registration is required. It presents itself as a browser-based MCP testing tool rather than a desktop app or local install.
- mcp-pactpypi.orgmcp-pact is a Python package that implements consumer-driven contract testing for MCP (Model Context Protocol) servers. It enables Pact-style agent contracts, automated provider verification, schema fuzzing to catch edge cases, and can-i-deploy checks for safe CI/CD deployments. Designed for developers building agentic systems, it helps maintain compatibility across evolving MCP implementations.
- sunpeaksunpeak.aiSunpeak is an open-source framework designed for building, testing, and deploying MCP (Model Context Protocol) Apps and connectors that run inside AI hosts such as ChatGPT and Claude. It addresses the complexities of developing interactive UIs for these hosts by providing a convention-over-configuration approach, reducing the need for developers to manage protocol message routing, resource bundling, server setup, and platform-specific code from scratch. The platform includes a full-stack MCP App framework, a testing framework, and an inspector tool that replicates the ChatGPT and Claude runtimes locally. This enables developers to build, test, and ship MCP Apps and connectors from a single codebase without requiring paid host accounts or AI credits. Sunpeak's inspector allows users to view and interact with their apps as they would appear in production within ChatGPT or Claude, supporting toggling between hosts, themes, display modes, and device types. Hot reloading is available for ChatGPT, and automatic rebuild notifications are provided for Claude, streamlining the development workflow. Sunpeak offers a suite of features tailored for cross-platform MCP App development, including over 20 typed React hooks for the MCP App runtime, pre-built UI components that adhere to ChatGPT and Claude design guidelines, and a development server with mock data support. The testing framework integrates with Playwright for end-to-end tests, supports live tests against real ChatGPT, visual regression testing across hosts and themes, and can be run in CI/CD pipelines such as GitHub Actions without incurring costs for accounts or API credits. The framework also supports convention-based auto-discovery of tools, resources, and simulations from the file system to further simplify project organization. Sunpeak is distributed as an npm package, is server-agnostic, and can work with MCP servers written in any language, including Python, Go, TypeScript, Rust, and Java. It is released under the MIT license, making it freely available for open-source use. The tool is aimed at developers creating MCP Apps, ChatGPT Apps, and Claude Connectors who need to streamline their workflow and ensure consistent cross-host compatibility.
- mcpipepypi.orgmcpipe is an open-source, plugin-based MCP server framework that allows developers to route any CLI tool through customizable Source → Executor → Sink pipelines. It supports the Model Context Protocol and is designed for extensibility and integration with other tools.
- mcp-banditgithub.commcp-bandit is an open-source command-line tool for scanning Model Context Protocol (MCP) servers for security vulnerabilities, including prompt injection and SSRF. It is designed for security engineers to audit and analyze MCP deployments.
- metasploit-mcppypi.orgmetasploit-mcp is an unofficial Python package that provides a Model Context Protocol (MCP) server for the Metasploit Framework. It allows AI agents and LLM-based tools to interact with Metasploit's RPC interface for penetration testing, exploit execution, and security assessment tasks. A fork of GH05TCREW/MetasploitMCP, it is distributed as a PyPI package under the Apache-2.0 license.
- MyMCPjosh.ingMyMCP is a free, open-source application for macOS designed to help users manage Model Context Protocol (MCP) servers. It serves as a centralized solution for discovering, installing, and configuring MCP servers, with particular emphasis on streamlining server management across various AI tools. 0 or later. Key features include a registry browser that allows users to browse and search the official MCP server registry, with the ability to view GitHub statistics such as stars, forks, and recent activity. MyMCP supports one-click installation of MCP servers to multiple clients at once, and users can configure API keys and environment variables during installation. These configurations are securely stored on a per-client basis. The platform also provides comprehensive server management, enabling users to view all installed servers, enable or disable them, and uninstall servers without losing their configuration data. MyMCP is accessible directly from the macOS menubar, offering quick access to server controls and real-time status updates. This design ensures that users can manage their MCP ecosystem efficiently and with minimal interruption to their workflow. The application is distributed under the MIT License and is developed by Just Joshing, LLC. As a dedicated MCP server manager for macOS, MyMCP is positioned for individuals or teams working with Model Context Protocol servers in AI-related environments, providing unified configuration and management capabilities in a single interface.
- mcp-failure-labgithub.comMCP Failure Lab is a command-line chaos-engineering and resilience-testing toolkit for Model Context Protocol servers. Developers can use it to inject failures and evaluate server behavior under adverse conditions.
- skillmatch-mcpgithub.comJob search and ranking pipeline accessible via MCP (Model Context Protocol)
- prufa-mcpprufa.devPrufa is an AI QA engineer for web products that checks signup, login, and checkout flows after deployment. It is built to catch breaks in minutes after every deploy, using a real browser and machine verification rather than waiting for customers to report a problem. Its reports separate verified findings from advisory findings. Verified findings cover deterministic checks such as redirects, HTTP status codes, and beacon events, and the page shows examples including a payment redirect returning 404, a GA4 conversion beacon not firing, and a login flow passing all four steps. Advisory findings are marked as opinions, such as a form field that appears to lack a visible label or a consent banner that may overlap a primary call to action. Prufa also includes Gremlin mode, which runs money flows under adversarial conditions by mutating inputs, timing, and edge-case paths; the page describes this as chaos QA and says each run produces a most valuable finding. The service runs a real-browser audit after a URL is pasted, and the report appears in the browser in about 60 seconds. It says no account, no npm install, and no Playwright config are needed for the first audit. After a site is connected, every push to the main branch triggers a re-run of the checks via a deploy webhook, and a Slack alert can fire with a screenshot and step trace when a previously passing flow fails. The page also shows a report view with step-by-step runs and named assertions. A free audit is offered with no credit card required and no signup required to run it. The product is presented as an AI QA engineer for web products.
- mcpscorepypi.orgmcpscore is an open-source CLI tool that analyzes MCP servers for compliance, quality, and protocol validation. It generates comprehensive reports to help developers and administrators ensure their Model Context Protocol servers meet required standards.
- mcp-check-securitypypi.orgmcp-check-security is an open-source command-line tool that performs offline security checks on Model Context Protocol (MCP) server configurations. It helps developers and security engineers identify potential vulnerabilities and misconfigurations before deployment. The tool is designed for use in AI infrastructure environments.
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