mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. Below are 38 ai & ml apps with similar functionality to mcp-remlezrd, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
msmcp-azure is an open-source server for Azure that implements the Model Context Protocol (MCP), enabling structured management and orchestration of AI model contexts. It is designed for AI infrastructure engineers deploying and managing models on Azure.
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.
Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers
agent-brain-ag-mcp is an open-source Model Context Protocol (MCP) server that exposes Agent Brain as MCP tools, resources, and prompts. It enables developers to integrate Agent Brain capabilities into agent-based applications, supporting RAG workflows and Claude integration. Ideal for AI developers seeking extensible agent frameworks.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
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.
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.
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.
abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.
ragebot-mcp is an open-source CLI tool that provides intelligent project context management and integrates with MCP servers. It supports code and context retrieval, RAG workflows, and is designed for developers seeking advanced CLI-based project tools.
iris-security-mcp is an open-source Python package that implements an MCP server, allowing organizations to connect Claude to AI agent governance and compliance systems. It supports secure agent management and integrates with existing compliance workflows. Designed for developers and teams building or managing AI agents.
MCP (Model Context Protocol) server for pyscn Python code analyzer
A production-ready MCP server that exposes PostgreSQL databases via the Model Context Protocol
pythonanywhere-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server, allowing developers to orchestrate and manage AI models in Python environments. It is designed for AI developers and researchers who need a standardized protocol server for model integration and orchestration. The package is MIT licensed and can be self-hosted via the command line.
Official MCP server for Automox
alpacon-mcp is an open-source Python package that enables AI-powered server management and integrates the Model Context Protocol (MCP) for seamless connection with AI tools like Claude and Cursor. It is designed for developers and infrastructure engineers seeking to automate and monitor server operations using modern AI integrations.
mnemo-mcp is an open-source MCP server that provides persistent memory and embedded synchronization for AI agents. It is designed for developers building agentic systems requiring long-term memory and context management.
MCP server wrapping the ROBOT ontology CLI tool
memanto-mcp is an open-source Model Context Protocol (MCP) server that provides persistent semantic memory for AI agents. It enables agents to store and retrieve structured knowledge, supporting advanced agent workflows and interoperability.
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.
amcl-server is an open-source MCP server that enables automatic context persistence and management for AI coding agents. It is designed for developers building multi-agent AI systems that require seamless context sharing and state management.
l6e-mcp is an open-source tool that enforces budget constraints for AI coding agents using the Model Context Protocol (MCP). It helps developers control and monitor the costs of automated code generation by integrating with agents like Cursor, Claude Code, and Openclaw. Ideal for teams and individuals managing AI agent expenses.
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.
central-mcp is an open-source Python package that serves as an agent-agnostic MCP hub for managing and orchestrating multiple coding agents. It enables AI developers to coordinate various coding agents using the Model Context Protocol (MCP).
RubyLLM::MCP is an open-source Ruby library that provides seamless integration of Model Context Protocol (MCP) tools, resources, and prompts into Ruby and Rails applications. It offers a Ruby-first API, OAuth 2.1 authentication, and real-time workflow support for developers building AI-powered chat and automation solutions.
memory-bridge-mcp is an open-source Python package that provides a unified MCP memory server, bridging Mind (concept graph) and Honcho (semantic vector) memory systems. It supports episodic timelines and LLM synthesis, enabling agent framework developers to manage and integrate multiple memory types in their AI agents.
kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.
thought-mcp is an open-source toolkit that implements a local Model Context Protocol (MCP) memory server with bi-temporal graph, vector, and temporal layers. It enables AI agents to store, retrieve, and consolidate structured memory for advanced reasoning and context management.
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.
Minimal stdio MCP server for parallel task execution by AI agents
projectmind-mcp is an open-source local MCP server that equips AI coding assistants with persistent memory, hybrid code search, AI-generated annotations, and an AST symbol graph. It runs entirely locally, requiring no API keys, and is aimed at developers seeking privacy and advanced code intelligence features.
rutherford-mcp-server is an open-source MCP server designed to orchestrate a crew of agentic coding agents using the Agent Client Protocol (ACP). It enables developers to coordinate multiple code-generating agents, manage consensus, and automate complex coding workflows. Ideal for AI developers building agentic systems.
karellen-rr-mcp is an open-source MCP server designed to integrate with rr for reverse debugging. It enables developers to automate and enhance debugging workflows using the Model Context Protocol and GDB.
sagemath-mcp is an open-source Model Context Protocol server that allows developers to perform stateful SageMath computations programmatically. It is designed for integration into systems requiring advanced mathematical computation and supports both CLI and API-based usage. Ideal for developers building tools or services that leverage SageMath.
compos-mcp is an open-source MCP server designed for integrating Compos architectural memory into AI and LLM workflows. It provides a model context protocol implementation, allowing developers to manage and serve contextual memory for advanced AI applications. Suitable for AI developers and researchers building memory-augmented systems.
