"How to improve memory or retention like GPT models" matching MCP servers:

MCP sidecar for Hermes Agent exposing operator tools (cron, skills, config, workspace) with tiered read-only/operator/owner modes and dry-run by default for safe local development.

A self-hosted MCP gateway that gives ChatGPT Web real command execution, file patching, and workspace management on a VPS you control.

Enables Codex chat to use the Claude Code harness for repository consultation and editing, routing through GPT models via a local proxy.

Enables MCP-based interaction with a local Hermes Agent installation, providing file read/search, skill management, and optional sandboxed write, terminal, and memory tools.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables GPT Desktop to interact with local file systems and execute shell commands. Supports file operations (read, write, edit, delete), directory management, file search, and git status checks through natural language.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Provides blocking await tools to poll commands, URLs, or files until a condition is met, eliminating the need for sleep loops in agent workflows.

Enables Claude to create and interact with real, persistent Windows terminal sessions (cmd.exe or PowerShell) through ConPTY, including sending commands, reading output, and scoped Ctrl+C interrupts without affecting other processes.