central-mcp is an open-source Python package that serves as an agent-agnostic MCP hub for managing and orchestrating multiple coding agents. Below are 39 ai & ml apps with similar functionality to central-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
pmcp is an open-source CLI tool implementing Progressive MCP, designed to minimize context bloat and enable on-demand tool discovery for AI agents. It is aimed at AI developers working with agent frameworks and MCP protocols.
pycli-mcp is an open-source Python library that allows developers to add MCP server capabilities to any command line application. It supports integration with argparse, click, and typer, making it easy to expose CLI tools via the Model Context Protocol. Ideal for Python developers building advanced CLI utilities.
aruba-central-mcp is an open-source MCP server that exposes Aruba Central AP, switch, and client status to AI assistants and automation tools. It enables integration and monitoring of network devices using the Model Context Protocol.
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.
mcp-coder is an open-source CLI toolkit that leverages AI (Claude Code) and MCP servers to automate code analysis, testing, and implementation workflows. It is designed for developers seeking to streamline and enhance their software development processes with intelligent automation.
mcp-base is an open-source CLI tool for setting up and managing Model Context Protocol (MCP) servers. It supports OIDC authentication with providers like Auth0, Dex, and Keycloak, and integrates with Kubernetes for scalable deployments.
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 server for Link local agent memory — remember, recall, search, context, and graph traversal
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
mcp-link is an open-source CLI package manager that enables users to install and manage MCP servers for Claude, Cursor, and Windsurf. It streamlines server setup for AI infrastructure engineers.
mcp-agent-handoff is an open source portable MCP server designed for managing agent handoff states and review tracking in AI agent workflows. It implements the MCP protocol and can be self-hosted for integration into agentic systems.
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.
pcp-mcp is an open-source MCP server designed for use with Performance Co-Pilot (PCP). It facilitates advanced monitoring and integration using the Model Context Protocol, making it suitable for system administrators and developers managing performance data.
zabbix-mcp is an open-source MCP server for automating Zabbix management and monitoring tasks. It provides API and CLI interfaces for network administrators and DevOps engineers to streamline server and network operations.
second-brain-mcp is an open-source MCP server that transforms an Obsidian vault into a semantic memory resource for coding agents. It enables retrieval-augmented generation and memory for agent frameworks, supporting local deployment and integration with Obsidian.
nucleus-mcp is an open-source agent operating system designed for AI agents, offering persistent memory, governance, and compliance features. It is suitable for developers building autonomous AI agents that require robust memory and regulatory support.
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-numpy is an open-source MCP server that exposes NumPy's numerical computing functions through an API, enabling remote structured data processing and integration into distributed systems.
Simple MCP Client to quickly test and explore MCP servers from the command line
mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. It allows developers to manage, exchange, and serve context for AI workflows, supporting integration with agent frameworks and research projects.
meridian-channel is an open-source command-line tool and MCP server that allows developers to orchestrate workflows involving multiple AI agents or models. It supports integration with various agent frameworks and provides workflow management capabilities.
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
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.
keeperhub-mcp is an open-source MCP client foundation designed for developers building agent-framework adapters. It streamlines integration with the Model Context Protocol, enabling extensible and reusable agent infrastructure components.
mcpolish is a command-line static linter for Model Context Protocol (MCP) servers. It helps developers catch vague, colliding, or misleading tool descriptions before AI agents interact with them, improving reliability and clarity in agentic workflows.
grocy-mcp is an open-source CLI tool and MCP server for Grocy, offering workflow automation, planning helpers, and household automation surfaces. It is designed for developers and advanced users seeking to extend Grocy's capabilities through command-line and automation protocols.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
mcp-server-remote is an open-source Python package that implements a remote MCP server for serving MCP clients. It is designed for developers who require MCP protocol support in their applications and can be run via the command line.
agent-policy-enforcement-mcp is an open-source CLI tool that enables per-agent-pair IAM and policy enforcement for agent-to-agent (A2A) calls. It allows developers to define, enforce, and attest to policies, supporting compliance with EU AI Act and ISO 42001. Ideal for AI developers and security teams.
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
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.
vcenter-mcp is an open-source MCP server designed for integrating Broadcom VCF vCenter Server Appliance with the Model Context Protocol. It provides a CLI tool for infrastructure engineers to automate and manage vCenter environments.
MCP server that wraps the basecamp CLI.
malt-mcp is an open-source Python MCP server that enables freelance platforms to manage user profiles, stats, and missions through AI assistants. It supports the Model Context Protocol and integrates with Anthropic's AI models for automation.
homeassistant-mcp is an open-source Python package that implements an MCP server for Home Assistant using FastMCP. It allows developers to integrate smart home devices and protocols with Home Assistant via the Model Context Protocol.
