Relay
Shared, private memory for ChatGPT, Claude, Cursor and 20+ AI tools. Plan in one, build in another.
Serveur MCP · par gudsol
Aperçu
Relay est un serveur MCP publié par gudsol. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-11-01 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-05.
Ce qu'il demande
- S'exécute à distance
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Connecter
Pas de données pour une commande automatique : ce que déclarent ses places de marché ne dit pas sans ambiguïté comment le connecter.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 1.0.0 | Forks (GitHub): 0 Étoiles (GitHub): 0 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
- Est devenu un produit que nous suivons
- Official MCP Registry: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
One memory for all your AI tools: Claude, ChatGPT, Cursor and any MCP client share the same notes.
-
Cross-model AI agent communication protocol. Connect Claude, Codex, and Gemini agents through a shared file-based messaging layer. Features include: control tower orchestration…
-
Persistent memory + context layer for AI dev teams. 17 tools via MCP.
-
Connect Mem0 to Claude to give your agent persistent memory across sessions. Claude can store user preferences, project context, and conversation history, then search, update, or…
-
Neonia: The Cloud Backend for AI Agents
Multiple MCP tools, persistent graph memory, token-saving data pointers, and more.
-
Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.
-
Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking
-
Local-first persistent context memory MCP server for AI coding agents.
-
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
-
Shared Markdown memory for Claude, ChatGPT, Claude Code and Codex. OAuth, no API keys.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Cross-model AI agent communication protocol. Connect Claude, Codex, and Gemini agents through a shared file-based messaging layer. Features include: control tower orchestration…
-
Connect Mem0 to Claude to give your agent persistent memory across sessions. Claude can store user preferences, project context, and conversation history, then search, update, or…
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
Research-backed orchestration for Claude Code. Structured workflow from idea to production with parallel execution, session memory, 70-point validation, autonomous mode, and…
Référencé sur Claude Code: claude-plugins-official (5)
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
Référencé sur Claude: knowledge-work-plugins (5)
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Bring operational data and context into the flow of your ChatGPT conversations. You can ask questions, create and update records, and analyze your data—all through conversation…
Référencé sur Community GitHub marketplaces (5)
-
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI…
-
memX: local-first semantic memory for coding agents. Native Codex lifecycle hooks.
-
Design, draw and run AI agent flows that mix providers and agent types, and build assistants with memory and RAG over vector databases, with the Intelli Python library.
-
Persistent memory for AI agents — remember/recall, knowledge-base RAG search, and document conversion via the Kit for AI MCP server.
-
Persistent, cross-device memory for your AI coding agents — self-hosted and AGPL, so your knowledge never leaves your own infrastructure. Connect to a Mori server you run; every…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Référencé sur Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Référencé sur Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Give your AI agents trusted access to the full Postman platform.
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Real-time web search, reasoning, and research through Perplexity's API
Référencé sur Official MCP Registry (5)
-
One memory for all your AI tools: Claude, ChatGPT, Cursor and any MCP client share the same notes.
-
Persistent memory + context layer for AI dev teams. 17 tools via MCP.
-
Neonia: The Cloud Backend for AI Agents
Multiple MCP tools, persistent graph memory, token-saving data pointers, and more.
-
Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.
-
Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking
Référencé sur PyPI (MCP servers) (5)
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
perplexity com.mcparmory/perplexity
Search the web, generate AI responses, and create embeddings with real-time information
-
Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
-
Semantic memory layer for AI applications. REST API + MCP transport + knowledge graph + autonomous consolidation. Works with 14+ AI clients. Self-host, zero cloud cost.
Référencé sur npm registry (MCP servers) (5)
-
Contextual prompts and agent skills for 140+ AI platforms.
-
Build Gemini- and ChatGPT-style apps, assistants with memory, RAG over vector databases and multi-provider AI features in JavaScript with the IntelliNode library, plus an MCP…
-
claude-prompts-mcp io.github.minipuft/claude-prompts-mcp
Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
contextforge-mcp io.github.alfredoizdev/contextforge-mcp
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.