harness-mcp Alternatives

Turn harness internal tools into a standard MCP server — compatible with Claude Code, Codex, OpenCode, and more.

agent-harnesses-mcp is an open-source MCP server that provides recommendations, search, and head-to-head decision guides for over 100 agent harnesses. It is designed for AI developers and researchers working with LLM-based agents, offering weekly rescoring and structured comparison tools.

Spindle-MCP provides a Model Context Protocol server for coordinating and delegating work among multiple AI agents. It is built to work with Claude and other models, facilitating complex agent workflows. The package is open source under MIT and hosted on GitHub.

mcp-gauntlet is an evaluation framework designed to test MCP (Model Context Protocol) servers by determining if AI agents can actually accomplish meaningful tasks with the tools the server exposes. It runs agentic evaluations that include testing for capabilities like tool use and resistance to prompt injection. The package is aimed at developers building or validating MCP-compatible AI agent systems.

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.

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.

hatchet-mcp is an open-source operational MCP server for Hatchet, offering a REST API for orchestration and run control. It is read-only by default, with opt-in control features, and is designed for developers building AI workflows and orchestration systems.

ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.

nxopen-mcp is an open-source MCP server that supplies AI coding agents with accurate NXOpen .NET API knowledge through hybrid retrieval techniques. It is intended for developers building AI agents that interact with Siemens NX APIs.

agentdrive-mcp is an open-source MCP server designed for use with Claude Code, enabling agent-driven automation and integration via API. It is suitable for developers building automation systems and agent frameworks.

MCP Bundles is a platform that enables AI assistants to connect with a wide range of real-world tools using the Model Context Protocol (MCP) standard. It provides MCP server implementations, allowing users to bundle their tools and make them accessible to AI clients such as ChatGPT, Claude, and Cursor. The platform is designed for those who want to integrate AI with various services, streamlining workflow automation and tool orchestration through a standardized protocol. The service offers compatibility with over 10,000 tools and supports connections to more than 1,400 providers across multiple categories, including developer tools, marketing, analytics, collaboration, cloud services, and social media. Users can search for tools, copy an MCP URL, and paste it into their preferred MCP-compatible AI client, enabling direct access and automation. MCP Bundles features a CLI, which can be installed via pip, allowing for quick initialization and setup. md files, which provide domain knowledge and workflow patterns to AI agents, enhancing their ability to use the connected tools effectively. 0 for enterprise-grade authentication and encryption. The platform claims not to store user data, relying on direct API connections to maintain privacy. It is built on the open Model Context Protocol standard, aiming to avoid vendor lock-in and ensure universal compatibility across more than ten AI platforms. The platform also offers curated public datasets sourced from primary government publishers, normalized and refreshed daily, which can be queried by AI clients without the need for manual data scraping. For users seeking more advanced solutions, MCP Bundles provides a Hub feature that enables programmatic tool calling, allowing AI to discover and orchestrate tools on demand. Custom MCP server requests are also supported for specialized workflow needs. The platform is open source and enterprise-ready, catering to a range of use cases from sales and marketing to developer productivity and analytics. MCP Bundles is maintained by ThinkChain Inc.