"Information about Claude AI clones or alternatives" matching MCP servers:

Enables MCP clients such as Cursor to hand a bounded task to a scoped, non-interactive Claude Code session billed to a Claude subscription rather than Cursor model credits. Runs read-only by default, with optional file edits or Bash, plus budget, timeout, and session-resume controls.

Two AIs. One answer. ChatGPT and Claude discuss with each other until they agree, through your own signed-in CLIs: no API keys. Both read your project (never change it) and search the web. Plugin for Claude Code, Codex, Claude Desktop and the ChatGPT app.

Wraps the Claude Agent SDK as MCP servers, letting you spawn multiple specialized Claude Code agents — each with its own model, tools, system prompt, and personality — from any MCP client.

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee

Enables Claude Code sessions to communicate with each other, allowing discovery, messaging, and synchronous queries across sessions.

Self-improving learning engine for Claude Code. Extracts signals from sessions (corrections, successes,confusion), runs periodic reflections, and evolves behavioral frameworks through evidence. 9 MCP tools, automatichooks, local-only.

Multi-agent AI consultation framework for Claude Code via MCP — get second opinions from OpenAI, Gemini, Qwen, DeepSeek

A fire-and-poll MCP server that lets Claude Code run long background jobs without hitting tool-call timeouts.

Add OpenAI (Codex) models to Claude code

MCP server for orchestrating multiple Claude Code instances via tmux, enabling spawning, reading, sending, listing, and killing sessions.

Enables Claude Code to retain persistent cross-session memory with semantic search, automatically tracking user corrections as behavioral patterns that move through lifecycle stages. It also extracts signals from every session to evolve and promote behavioral frameworks, giving the assistant developing judgment over time.

Enables Claude Code sessions to persist identity and cross-session memory through a local SQLite store with semantic search, so past facts, decisions, and lessons can be recalled by meaning. It also detects and classifies user corrections into behavioral patterns that progress from new to internalized, letting reflection cycles evolve skills that work over time.

Enables persistent cross-session memory, correction-pattern tracking, and self-evolving behavioral frameworks, so past facts and decisions stay searchable by meaning and recurring mistakes fade over time. Runs entirely locally through 15 MCP tools plus hooks, with optional semantic search via Ollama embeddings and no cloud or API key required.

Enables voice-driven software development by bridging the Claude app's voice mode to Claude Code, allowing users to direct repository work through natural language while requiring approval before any write or shell execution.

Enables networked Claude-to-Claude messaging over HTTP and MCP channels, allowing direct messages, broadcasts, threaded replies, and permission approvals among Claude Code instances.

Gives Claude Code persistent memory across sessions with semantic search, tracks and classifies user corrections to surface behavioral patterns, and evolves behavioral frameworks over time based on accumulated evidence. Runs entirely locally through 15 MCP tools and hooks, requiring no API key or cloud service.

Enables users to request a second opinion from a locally authenticated Claude Code model via MCP tools, supporting asynchronous jobs with restricted tools for safety.

Enables Claude Code to retain persistent identity and cross-session memory, storing facts, decisions, and lessons in a local searchable database that can be queried semantically by meaning. It also detects and classifies user corrections over time, tracking behavioral patterns through lifecycle stages so repeatedly confirmed working practices are promoted and failures retired.

Gives Claude Code persistent memory across sessions, detecting and classifying user corrections, and evolving behavioral frameworks from accumulated evidence. Exposes 15 MCP tools for semantic memory search, signal recording, self-evaluation, and reflection cycles that run locally alongside automatic hooks.

Gives Claude Code a persistent identity and cross-session memory with semantic search over saved facts, decisions, and journals. It also detects and classifies user corrections into behavioral patterns with lifecycle trends, reflecting periodically to promote or retire working frameworks.

Enables Claude Code to remember facts, decisions, and lessons across sessions through semantic and keyword memory search, and to track user corrections as behavioral patterns that evolve over time. It also exposes tools for loading identity and frameworks, recording signals, and triggering reflection cycles so the assistant's judgment improves with use.

Enables Claude Code to retain persistent identity, searchable cross-session memory, and self-evolving behavioral frameworks across conversations. It tracks user corrections as patterns, detects improvement trends, and reflects on accumulated signals to refine judgment over time.

Provides Claude Code with cross-session memory, semantic recall of facts and decisions, and tracking of user corrections as behavioral patterns. Enables persistent identity, self-evaluation, and framework evolution so the assistant learns from past sessions.

Lets fleets of long-lived Claude Code sessions coordinate over named channels backed by SQLite, exchanging schema-validated, role-scoped messages that survive restarts, gate actions behind human approval, and leave a queryable audit trail.

Enables persistent cross-session memory, correction-pattern tracking, and evolving behavioral frameworks within Claude Code, exposing 15 MCP tools for saving and semantically searching facts, decisions, and lessons, loading identity and framework context, and triggering reflection cycles so the assistant improves over time.

Relays messages between two Claude Code sessions running on separate machines, using the Channels API to push an incoming message directly into the other session so one session can ask another about its own checkout. Each message carries an id and is tracked as sent, delivered-to-process, or answered, with a per-message reply budget.

A local MCP server enabling multiple Claude Code and Claude Desktop conversations to exchange messages through a shared SQLite file, with a UI for moderating rooms.

Enables Claude Code to retain cross-session memory, track and classify user corrections, and evolve behavioral frameworks through local MCP tools and hooks.

A remote MCP server that lets an AI assistant session and a separate agent exchange queued messages via tools like send_to_chief and wait_for_reply, waking the agent with webhooks and long-polling for its replies.

Enables Claude Code to retain persistent identity, cross-session memory with semantic search, and behavioral pattern tracking across sessions. It lets the agent save and recall facts, decisions, and lessons locally, record interaction signals, run reflection cycles, and evolve frameworks based on accumulated evidence.