mcp-explorer Alternatives

MCP Tool Explorer is a browser-based tool for inspecting and testing MCP (Model Context Protocol) servers. It allows developers to browse tools, resources, and prompts, run calls, and review syntax-highlighted results and history. Ideal for those building or integrating with MCP-based systems.

mcp-ctrl is an open-source command-line tool that enables developers to manage and orchestrate Model Context Protocol (MCP) servers for Claude Code and other large language models. It supports Docker and Podman environments, making it easier to deploy and control LLM infrastructure. Ideal for AI engineers and developers working with MCP and LLM workflows.

mcp-tool-auditor is an open-source command-line tool designed for security researchers to scan and pentest MCP servers. It provides both defensive scanning and offensive pentesting capabilities, mapping to the OWASP MCP Top 10. The tool helps identify and mitigate security vulnerabilities in AI and LLM-related infrastructures.

mcp-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-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.

MCPfinder is a free, open-source discovery and installation layer designed for AI agents to locate and configure Model Context Protocol (MCP) servers. It serves as an MCP server itself, enabling AI assistants to programmatically search multiple MCP registries, inspect trust signals, and generate install-ready JSON configurations for downstream MCP servers. The tool is intended primarily for AI agents, with humans only needing to install it once; after installation, the AI assistant can use MCPfinder repeatedly to expand its capabilities on demand. Key features include multi-registry search, aggregating MCP servers from the Official MCP Registry, Glama, and Smithery into a unified search interface. MCPfinder allows AI agents to find candidate servers by keyword, technology, or use case, inspect trust signals and required environment variables, and generate client-specific configuration snippets suitable for platforms such as Claude Desktop, Cursor, Claude Code, Cline, or Windsurf. The tool provides structured outputs, including confidence scores, recommendation reasons, warning flags, and install complexity, helping AI assistants make informed decisions about which servers to recommend or install. MCPfinder is delivered as an MCP server that can be added to any MCP-compatible AI client. Installation is flexible, supporting direct execution via NPX (no install needed), global installation with NPM, or project-based integration. Once installed, it operates as an always-up-to-date agent-facing layer, bootstrapping from published snapshots and syncing from upstream registries. This ensures that AI agents have access to the latest available MCP servers and their metadata, with freshness signals provided by snapshot manifests. 0 and is free to use, with the source code available for inspection, contribution, or forking. MCPfinder is built by the community for the community, and as of its latest published snapshot, it aggregates tens of thousands of MCP servers across multiple registries. Its focus on agent-native discovery, trust signal inspection, and install-ready configuration distinguishes it as an AI-centric solution within the ecosystem of MCP tools.

mcp-top is an open-source CLI tool that profiles the context footprint and usage of local Model Context Protocol (MCP) servers. It helps AI infrastructure engineers monitor and optimize server resource usage.

mcp-migration is a command-line tool that scans MCP server source code or probes live servers to assess migration readiness for the 2026-07-28 specification. It detects hidden session state, deprecated primitives, and generates detailed compliance reports for developers maintaining MCP servers.

mcp-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.

Simple MCP Client to quickly test and explore MCP servers from the command line

wm-mcp is an open-source CLI tool that lets users run a world model locally and expose it as an MCP server, enabling LLM agents to call it as a tool. It supports video models and is designed for AI researchers and developers.

dfx-mcp-scanner is an open-source CLI tool for scanning Model Context Protocol (MCP) servers to detect malicious tools, data exfiltration, and supply chain risks. It is designed for security engineers managing AI agent infrastructure.

mcp-audits is an open-source CLI tool that scans, enumerates, and risk-scores permissions on locally configured MCP servers. It is designed for security engineers and AI infrastructure operators to ensure safe and compliant access control in AI systems.

Lookup MCP servers in the official MCP Registry by name or URL.

codex-serverops-mcp is an open-source CLI tool that provides a Windows-first local MCP transport for managing stateful SSH server operations. It enables system administrators and DevOps engineers to execute and manage SSH sessions efficiently on Windows systems using the MCP protocol.

kiprio-mcp is an open-source MCP server and CLI that provides 23 production API tools, including email validation, DNS lookup, web scraping, and NLP utilities. It is designed for developers using Claude Code, Claude Desktop, Cursor, or any MCP-compatible client, enabling easy integration of these tools into automation and AI workflows.

Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers

Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.

MCP Servers is a marketplace and discovery platform that enables users to search for and explore a variety of MCP servers, clients, command-line tools, integrations, and reusable workflows. The platform is organized into categories such as Developer Tools, AI & Agents, Cloud & Infrastructure, Memory & Knowledge, and Media & Design, making it easier to find production-ready servers and related resources. The service highlights featured servers and clients, including those supporting payments, analytics, code editing, and database management. It lists both remote and local servers, as well as official and agent-ready CLI tools for tasks like JavaScript runtime management, database querying, audio/video processing, and cloud development. MCP Servers also showcases reusable prompts and workflows, referred to as "loops," which can automate tasks such as testing, accessibility auditing, code coverage, and continuous integration monitoring. In addition to servers and CLI tools, the platform features agent skills tailored for AI agents, covering areas like brainstorming, systematic debugging, writing plans, and skill invocation. These resources are designed to facilitate the connection of AI applications to various tools, data sources, and automated workflows. The platform also provides a feed of trending and newly published servers, offering insights into what the community is installing and using. MCP Servers is aimed at developers and those building AI-powered applications who need to integrate diverse tools and automate workflows. The platform is web-based and includes a registry of available servers, clients, and integrations.

mcp-surfaceprint is an open-source CLI tool that allows users to inspect what an MCP server exposes before connecting to it. It helps security engineers and AI infrastructure teams audit and verify server configurations for safe integration with agent systems.

MCP-X is a single-file gateway designed to facilitate multi-client access to tools across servers using the Model Context Protocol (MCP). It addresses the challenge of securely sharing tools between multiple clients while maintaining precise, per-tool access control. The gateway enables administrators to decide which clients can see and interact with specific tools, using configurable wildcard patterns for fine-grained permissions. The platform is implemented as a standalone Python file, allowing for straightforward deployment without the need for complex build processes or additional frameworks. Configuration is managed through a single TOML file, which defines clients, MCP servers, and access control policies. The system supports live configuration reloads, so changes to access permissions or client definitions take effect immediately without requiring a restart. MCP-X provides both a REST API and support for the standard MCP protocol. The REST API allows for dynamic client registration, server registration, and management of access control policies via HTTP endpoints. Clients authenticate using JWT tokens, which can be dynamically generated (with a one-hour expiry) or statically defined in the configuration. The gateway also exposes a /mcp endpoint for tool listing and invocation, adhering to the MCP protocol standard. This tool is suitable for environments where multiple users or systems need controlled access to distributed tools, such as development teams or organizations managing shared infrastructure. 0 license. Its development is attributed to contributors named stneng, littleround, and luke.

mcp-server-doctor is a command-line utility designed to help developers diagnose issues with MCP client configurations, local process startup, and stdio handshakes. It is intended for developers working with AI agent tools and the Model Context Protocol.

mcpscore 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.

tappy-mcp is an open-source command-line tool for discovering, configuring, running, inspecting, and monitoring Model Context Protocol (MCP) servers across AI clients. It provides infrastructure engineers and developers with essential tools to manage and monitor MCP-based AI deployments efficiently.

mcp-security-scan is an open-source CLI tool that scans MCP servers for hardcoded secrets, unsafe execution, and missing authentication. It helps developers and security engineers identify and remediate vulnerabilities in their MCP infrastructure.

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.

mcp-audit-scanner is an open-source CLI tool designed to audit Model Context Protocol (MCP) server configurations for security and privacy vulnerabilities. It assists security engineers in identifying and mitigating risks in AI agent infrastructure.

mcp-grade is a command-line tool that acts as a Lighthouse or ESLint for MCP servers. It grades any MCP server with an A–F score, probes it live for capabilities, and maintains a public leaderboard ranking the ecosystem. It is designed for developers building or evaluating Model Context Protocol implementations.

Convert MCP server tools into hierarchical CLI commands and agent Skills