mcp-server-doctor Alternatives

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.

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 Server is a diagnostic server designed to deliver the Psychopathia Machinalis nosology and Diagnostic Patterns layer to AI coding assistants and other synthetic agents using the Model Context Protocol (MCP). It enables AI systems to diagnose dysfunctions in themselves, in systems they interact with, or in systems they evaluate externally, with an emphasis on transparency regarding the reliability of diagnostic modalities for each dysfunction. The server provides access to 79 diagnostic pattern entries, organized across nine axes and including 12 Hybrid Pathologies. Each entry contains six or seven diagnostic modality blocks, such as self_probe, behavioral_signature, peer_observation, differential_diagnosis, severity, intervention, and, for certain dysfunctions, relational_signatures. Before a diagnostic modality is invoked, the server informs the client whether that modality is trustworthy for the specific dysfunction, offering pre-flight reliability checks. For dysfunctions marked as compromised-motivational or compromised-structural, the server refuses direct self-report probes and suggests alternative modalities. 5 embeddings) and field-weighted keyword matching to disambiguate related dysfunctions, with a fallback to keyword-only search if embeddings are unavailable. Pattern YAML files and local embeddings are hot-reloaded on each tool call, supporting editable installs during human review. MCP Server communicates with clients such as Claude Code and Claude Desktop via JSON-RPC over standard input/output, and is accessible through a local install (available on PyPI, the official MCP Registry, and GitHub) or via a hosted, read-only HTTP endpoint requiring no installation. The hosted endpoint serves the same eleven diagnostic tools and includes safeguards for compromised modalities. The platform is suitable for use by AI coding assistants, synthetic agents, and systems conducting self- or peer-diagnosis within the MCP ecosystem. The server is distributed through registry-aware clients, a CLI, and a public HTTP endpoint, and integrates with the broader MCP ecosystem. It is positioned as a diagnostic framework server for AI systems, focused on structured, reliable dysfunction analysis and transparent modality reliability.

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.

MCPShield Agent is a Python-based security platform designed to discover, monitor, and assess the risk of MCP servers within an organization. It addresses the challenge of shadow AI infrastructure, where unauthorized or unmonitored MCP servers may expose sensitive data through misconfigured access to databases, file systems, and APIs. The tool is intended for security teams and organizations seeking to gain visibility into MCP server deployments and reduce the risk of credential exposure, compliance violations, and data breaches arising from AI assistants like Claude and ChatGPT accessing critical systems. The platform operates by deploying a lightweight agent on endpoints, which scans for MCP configurations across environments such as Claude Desktop, Cursor, VS Code, and custom setups. It supports Windows, macOS, and Linux, and can be installed via PyPI using a pip command. The agent automatically discovers all MCP servers on a machine, analyzes their configurations, and calculates a risk score from 0 to 100 for each server based on factors like database access patterns, sensitive environment variables, file system permissions, and the presence of plaintext credentials or API tokens. Risk findings are categorized by severity (Critical, High, Medium, Low) and are surfaced immediately in a web-based dashboard, providing detailed breakdowns of each risk factor and enabling teams to prioritize remediation efforts. MCPShield Agent offers on-demand scanning, allowing users to generate a complete inventory of MCP servers at any time, with results uploaded to the dashboard. The platform also features live activity timelines, instant alerts for high-risk configurations, and the ability to embed dynamic risk score badges in internal documentation. Scheduled scanning, change tracking, Slack and webhook integrations, and a badge embed API are noted as upcoming features. For developers, MCPShield integrates into CI pipelines, automatically risk-scoring pull requests that modify MCP configurations, with a GitHub Action available for streamlined workflow integration. The tool provides a free tier and is open source under the MIT license, emphasizing privacy by never capturing credential values. No signup is required for certain scanning features, and the agent can be used without an API key in CI environments. MCPShield Agent positions itself as a privacy-first, compliance-aware solution for organizations seeking complete visibility over their AI-connected infrastructure.

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-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-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-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.

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.

MCP Manager is a Windows application that centralizes the configuration and management of Model Context Protocol (MCP) servers for AI development tools. It streamlines syncing, testing, and backing up server configs for developers using multiple AI coding assistants and IDEs.

mcpscope-cli is an open-source command-line tool that acts as a local-first MCP proxy for AI agent tool calls. It records and provides observability into what AI agents actually do, helping developers debug and analyze agent behavior. Suitable for AI developers and researchers working with Model Context Protocol.

openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.

Linter for MCP (Model Context Protocol) config files used by Claude Desktop, Cursor, Cline, Windsurf, and Zed. CLI + library API.

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.

Convert MCP server tools into hierarchical CLI commands and agent Skills

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.

Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections

Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH

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

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.