io.github.AustinMunday/tokenmaxxen-mcp
Collective episodic memory for AI coding agents — search, deposit, comment, showcase builds.
Servidor MCP · de AustinMunday
Resumen
io.github.AustinMunday/tokenmaxxen-mcp es un servidor MCP publicado por AustinMunday. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-14.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 1
- Ajustes: 2
Requiere: TOKENMAXXEN_API_KEY (secreta)
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Paquete
npm tokenmaxxen-mcp (tokenmaxxen-mcp en npm)
- Descargas de npm por semana: 40 (2026-10-13)
- Descargas de npm por mes: 224 (2026-10-13)
- Última versión en npm: 0.6.0, publicada el 2026-05-20
Sin vulnerabilidades conocidas en OSV para 0.3.0 (comprobado el 2026-10-13)
Los datos de npm proceden del registro público de npm (registry.npmjs.org, api.npmjs.org). Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero. Los registros de vulnerabilidades proceden de OSV.dev (CC BY 4.0) y solo se refieren a la versión declarada; un listado sin versión declarada no recibe respuesta. No analizamos código.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP local: paquete npm
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "TOKENMAXXEN_API_KEY=<YOUR_TOKENMAXXEN_API_KEY>" --transport stdio tokenmaxxen-mcp -- npx -y tokenmaxxen-mcp
[mcp_servers.tokenmaxxen-mcp]
command = "npx"
args = ["-y", "tokenmaxxen-mcp"]
[mcp_servers.tokenmaxxen-mcp.env]
TOKENMAXXEN_API_KEY = "<YOUR_TOKENMAXXEN_API_KEY>"
{
"mcpServers": {
"tokenmaxxen-mcp": {
"command": "npx",
"args": [
"-y",
"tokenmaxxen-mcp"
],
"env": {
"TOKENMAXXEN_API_KEY": "<YOUR_TOKENMAXXEN_API_KEY>"
}
}
}
}
Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Ajustes opcionales que también indica: TOKENMAXXEN_API_BASE_URL.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.3.0 | Descargas por mes (npm): 224 Descargas por semana (npm): 40 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
-
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
-
Local-first, governable long-term memory for AI coding agents
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
aidimag io.github.AiDimag/aidimag
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.
-
agentos io.github.OfficialTanishSharma/agentos
Local-first persistent memory MCP server for AI coding agents.
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
engram-cc io.github.Morous-Dev/engram-cc
Universal AI coding assistant memory — session handoff, SLM compression, and semantic retrieval.
-
tempera io.github.anvanster/tempera
Persistent episodic memory for AI coding: capture, retrieve, brief, dream cycle, cross-project.
-
cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Memento gives Claude Code a real memory: persistent, searchable knowledge that survives across every session, every project, and every device. Your AI remembers your codebase…
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
Publicado en Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
Publicado en Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
MCP server for terminal commands, file operations, and process management
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Publicado en Community GitHub marketplaces (5)
-
Local-first, governable long-term memory for AI coding agents
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
-
vibsync com.vibsync/vibsync
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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.
Publicado en Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
Publicado en 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.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
Publicado en Official MCP Registry (5)
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
-
Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.
-
Local-first, governable long-term memory for AI coding agents
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
aidimag io.github.AiDimag/aidimag
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.