Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
AI continuity and Library Templates: memories, profiles, rules, tasks, and checkpoints.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Ejecuta esto en tu terminal
claude mcp add --transport http memside https://api.memside.com/mcp/ --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"memside": {
"url": "https://api.memside.com/mcp/",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"memside": {
"type": "http",
"url": "https://api.memside.com/mcp/",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub memside, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: Authorization
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (1.0.5) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, AI Deprecations
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Memside is an AI continuity and memory hub for work across ChatGPT, Claude, Grok, IDEs, coding agents, and other AI tools that support OAuth, MCP, or API-key connections. It provides a private place for reusable context, decisions, Operating Rules, project notes, checkpoints, and Library Templates that can move between compatible AI tools.
Memside keeps AI context available beyond one chat window. A connected AI tool can retrieve relevant memories, continue a project from a checkpoint, follow saved working preferences, create approved durable context, and work with permission-controlled Library Templates. This repository is the public home for Memside integration documentation, examples, SDKs, and support information. It is not a mirror of the private production application source.
Product site: https://www.memside.com
Documentation: https://docs.memside.com
Memside is built to give AI assistants the right context at the right time: current task state, saved preferences, project notes, checkpoints, and reusable rules. In internal testing and early pilot usage, this helped AI tools stay on track without requiring users to rebuild the same detailed prompt in every new chat or IDE session.
High-level test results:
| Context approach | Continuity score |
|---|---|
| No Context | ~45% |
| Long Context Dump | ~84-85% |
| Memside Context | ~96-99% |
| Very Detailed Manual Prompt | ~97-99% |
Token savings: in separate context-reuse tests, Memside reduced repeated full-context transfer by 83-91% on representative light, medium, and heavy project datasets.
A very detailed manual prompt means a long prompt where the user includes every important detail by hand: project state, preferences, decisions, references, and next steps. With Memside, the workflow is simpler: ask the AI to save the checkpoint, references, and useful context, then move to a new chat and ask it to continue from that checkpoint using Memside.
Results are based on internal tests and early pilot usage patterns. Performance varies by model, provider, prompt style, and workflow. See Continuity and context results for details.
Memside supports hosted MCP access for AI tools that can connect to remote MCP servers. MCP gives compatible AI clients a standard way to use Memside as a continuity layer instead of locking memory into one assistant.
https://api.memside.com/mcp/
For AI tools that support OAuth for MCP, setup continues through Memside sign-in. AI tools that support API-key authentication can use a Memside API key as a bearer token.
Start here:
Select the path that matches the client or integration.
| Goal | Use | Start here |
|---|---|---|
| Connect ChatGPT, Grok, Claude, or another hosted client | OAuth MCP | Client guides |
| Connect IDEs and coding agents such as VS Code, Copilot, Cursor, Claude Code, Codex, Antigravity, opencode, or a local MCP client | Bearer-header MCP | VS Code guide |
| Call Memside from scripts or automation | API key | API keys |
For a direct API check, create a Memside API key and run:
curl https://api.memside.com/context/startup \
-H "Authorization: Bearer mem_sk_example_key"
For a runnable JavaScript example:
cd examples/javascript
npm run startup
Set MEMSIDE_API_KEY before running examples. See Developer quickstart for the full setup.
Memside publishes a lightweight JavaScript SDK for public API-key workflows:
npm install memside
Basic usage:
import { MemsideClient } from "memside";
const memside = new MemsideClient({ apiKey: process.env.MEMSIDE_API_KEY });
const startup = await memside.context.startup(); console.log(startup);
The JavaScript SDK wraps public Memside API routes for startup context, resume context, workspace profile, Memory operations, Subject organization, and Library Template workflows. See packages/memside for package details.
Memside also publishes a lightweight Python SDK for public API-key workflows:
pip install memside
Basic usage:
from memside import MemsideClient
client = MemsideClient(api_key="mem_sk_example_key")
startup = client.context_startup() print(startup)
The Python SDK wraps the same public Memside API areas as the JavaScript SDK. See packages/python for package details.
Use this hosted MCP server URL in clients that support remote MCP:
https://api.memside.com/mcp/
For ChatGPT, Grok, Claude, and other clients that offer OAuth during MCP setup, choose OAuth and complete Memside sign-in.
For clients that use bearer headers, create a Memside API key and pass it as:
Authorization: Bearer mem_sk_example_key
VS Code and GitHub Copilot can use a workspace .vscode/mcp.json file:
{
"servers": { "memside": { "type": "http", "url": "https://api.memside.com/mcp/", "headers": { "Authorization": "Bearer mem_sk_example_key" } } } }
Keep real API keys out of shared files. Use local user-level configuration or secret storage when the config is shared with a team.
Detailed setup guides are available for VS Code, GitHub Copilot, ChatGPT, Grok, Claude Code, Cursor, Codex, Antigravity, and opencode.
This repository includes server.json for the official MCP Registry. It describes Memside as a hosted remote MCP server using Streamable HTTP at:
https://api.memside.com/mcp/
The registry entry is published under:
io.github.memside/memside
See MCP Registry metadata for registry and endpoint checks.
This repository also includes lightweight third-party directory metadata for Glama, Open Plugins, and Cursor plugin discovery. These files point to the same hosted MCP server URL and do not contain credentials.
With Memside connected, an AI tool can search saved memories, fetch specific context, create approved memories, update checkpoints, and build compact startup or resume packets. The goal is to keep useful context portable without turning every AI conversation into a long manual setup step.
This supports project movement between ChatGPT, Claude, Grok, IDEs, coding agents, and other compatible AI clients. The next AI can retrieve the project purpose, prior decisions, applicable rules, and current next step.
Memside Library adds reusable Templates for profiles, Operating Rules, AI Skills, memories, references, examples, and repeatable workflows. Public catalog discovery is read-only. Permission-controlled creator operations can search Templates, read owned drafts, replace drafts safely, and manage reviewed publication workflows. See Memside Library and Templates.
Memside keeps the normal product boundary intact. Private user data is scoped to the signed-in user, secret memories are excluded from AI-facing MCP and API-key flows, and destructive actions require stronger confirmation.
Memside is designed around continuity, selective context retrieval, and user control. The core features are:
The examples in this repo use public Memside API surfaces only.
The JavaScript and Python examples use normal HTTP requests against public Memside API surfaces.
The machine-readable OpenAPI document contains only the approved API-key contract. It excludes signed-in application, account, administration, billing, and infrastructure operations.
This repo contains:
This repo does not contain:
For support, contact support@memside.com or use the support links in the Memside app.
Security reports should follow SECURITY.md.
Copyright (c) 2026 Memside. All rights reserved.
This repository is public documentation, not open-source application code. See LICENSE.md for the repository terms.
Memside and related names, product concepts, documentation, and branding remain the property of their respective owners.