Context7
de upstash
Up-to-date docs for AI agents
Computadora o nube★ 64.224MITActualizado hace 3 días
Instalar
Edworking MCP
Resumen
Descripción del creador (original en inglés)
Edworking tasks, Docs, workspace search, conversations and files with scoped OAuth access.
Los tres pilares de PopNx MCP
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
- Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
- Nuestras revisiones básicasi3 de 3 superadasRevisado con información pública; el código aún no se ha escaneado
- UsoiAún sin medir★ –
Qué puedes hacer con él
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
- Conexión: Se ejecuta en la nube
- Transporte: Streamable HTTP
- Categoría: Búsqueda y memoria de IA
Instalación
Elige la app de IA que usas y copia la configuración.
Antes de instalar
- Revisiones básicas: 3 de 3 superadas
- Se ejecuta en el servidor del creador: lo que le pidas pasa por su servidor.
- El registro no indica ninguna clave que completar.
Necesitas
- Se ejecuta en la nubeNo hay nada que instalar; se conecta por internet
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
- Abre Settings → Connectors
- Presiona Add custom connector
- Pega la dirección de abajo y presiona Add
- Si te pide iniciar sesión, inicia sesión en el servicio del creador
https://mcp.edworking.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http edworking https://mcp.edworking.com/mcpO copia la configuración tú
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"edworking": {
"url": "https://mcp.edworking.com/mcp"
}
}
}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.
O copia la configuración tú
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"edworking": {
"type": "http",
"url": "https://mcp.edworking.com/mcp"
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
- Abre ChatGPT en la web → Settings → Connectors (Apps)
- Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
- Pega la dirección de abajo, ponle un nombre y guarda
- Si te pide iniciar sesión, inicia sesión en el servicio del creador
https://mcp.edworking.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Qué puede hacer
El servidor pide iniciar sesión antes de mostrar sus herramientas.
Revisiones básicasi
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
- ✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub Edworking, dueña del repo
- … Aún sin revisar
Sigue en mantenimiento
Todavía no hemos leído este repo en GitHub
- … Aún sin revisar
Tiene licencia
Todavía no hemos leído este repo en GitHub
- ✓ Superada
El endpoint responde
Respondió en 214 ms (HTTP 401)
- ✓ Superada
Inicio de sesión con OAuth
Declara inicio de sesión con OAuth, así que tu app de IA puede llevarte a iniciar sesión
- … Aún sin revisar
Sin instrucciones ocultas en las descripciones de herramientas
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con otros en Búsqueda y memoria de IAi
- Más estrellas que el 0% de los otros 7231 servidores de esta categoría
- Publicado en el registro más recientemente que el 95% de los otros 7231 servidores de esta categoría
- Revisiones básicas iguales o mejores que el 100% de los otros 7231 servidores de esta categoría
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Preguntas frecuentes
¿Es seguro Edworking MCP?
Superó 3 de 3 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.
¿Qué claves o códigos necesita?
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
¿Se ejecuta en mi computadora o en la nube?
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
¿Sigue en mantenimiento?
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro anteayer.
¿Qué apps pueden usarlo?
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.
¿Qué puedo usar en su lugar?
En la misma categoría: Context7, Codebase Memory, Exa
Alternativas
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
Codebase Memory
de DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar
Exa
de exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Se ejecuta en la nube★ 5213MITActualizado hace 44 días
Instalar
README del creador
Abrir el README
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.
Edworking MCP
The official, open-source Edworking MCP server. Connect your assistant to projects, tasks, Docs, conversations and files your account can access.
Hosted endpoint: https://mcp.edworking.com/mcp
Public identity: Edworking MCP. The Railway infrastructure retains the codename Bellsprout. Use the custom domain above for all new connections. Connections created against the earlier Railway URL must reconnect because their OAuth resource audience has changed.
Release: 0.3.0 adds a Figma plugin transport, design-aware task and Doc creation, and two frame-link tools (24 tools total). Deploy the matching scoped API backend before the MCP server. Docs require new docs:read / docs:write token permissions and OAuth consent. Existing grants are not expanded automatically.
Distribution: npm, the hosted server and Official MCP Registry are at 0.3.0. OpenAI version 0.3.0 was submitted on 5 November 2026 and is In review, not yet published. The metadata upload had no findings and its authenticated scan discovers all 24 tools. See the publication checklist for individual directory statuses.
Connect
Add the endpoint to an MCP client supporting Streamable HTTP and OAuth. Follow the browser authorization window, choose Continue in Edworking, and review the client, destination, workspace and permissions before approving. The fallback accepts a dedicated scoped token created in Edworking → Profile → API tokens and entered directly on the browser consent page. Never paste a token into an assistant conversation.
Connections request read permissions by default. Writes require the matching OAuth scope and upstream token permission. Reconnect with explicit scopes if your client cannot request additional permissions. Revoke the dedicated token in Edworking to disconnect every grant using it. Grants expire within 30 days or when the Edworking token expires, whichever is sooner. Access tokens last up to ten minutes and refresh tokens rotate.
codex mcp add edworking-mcp --url https://mcp.edworking.com/mcpcodex mcp login edworking-mcp
For ChatGPT testing, use Plugins → Add custom MCP server, select OAuth and enter the endpoint. Availability depends on your plan and workspace policy. A portable OpenAI plugin package is in plugin/. The 0.3.0 package declares six read and five write OAuth scopes, including Docs. The OpenAI 0.3.0 package is in review; publication awaits approval. Verify the actual consent screen and get_connection result. On 13 October, the submission portal metadata grant used five read scopes, while a separate ChatGPT demo connection received all nine scopes and successfully created a task and sent a message. Existing read-only grants remain read-only until reauthorized; a token with write permissions does not automatically upgrade an OAuth grant.
Other clients should configure a remote HTTP server named edworking-mcp and use their built-in OAuth flow. Public clients with PKCE, dynamic registration and HTTPS Client ID Metadata Documents are supported. /mcp accepts only Edworking MCP access tokens.
Client setup instructions: Edworking MCP guide. See the competitor review and delivery roadmap for remaining capabilities and launch gates.
After Allow access or Cancel, the browser returns to your assistant automatically. If it remains on Returning to your assistant, use the return button. Each consent request can be used once and expires after ten minutes. If you see invalid_grant or an expired/used request, start a new connection from your assistant instead of reopening the old consent link. Do not refresh or resubmit the approval form.
Tools
| Tool | Scope | Purpose |
|---|---|---|
get_connection | Any connection | Connection name, permissions and expiry |
list_projects, list_project_statuses, list_project_members | projects:read | Projects, valid statuses and existing assignee IDs |
list_tasks, get_task | tasks:read | Filter tasks by project, status, assignee, priority, title and due dates; read task content |
list_figma_tasks | tasks:read | Find accessible tasks linked to a Figma file or frame |
link_figma_frame | tasks:write | Link a Figma frame to an accessible task |
search, fetch | Per-source read scope | Indexed tasks, Docs, files and project messages; typed result retrieval |
list_docs, get_doc | docs:read | Find Docs and read their Markdown content |
create_doc, update_doc, edit_doc_content | docs:write; body edits also need docs:read | Create, rename and edit Docs |
list_conversations | chats:read | Existing private conversations |
read_messages | messages:read | Accessible conversation messages |
list_files | files:read | File metadata |
create_task, update_task, edit_task_content | tasks:write; body edits also need tasks:read | Create tasks; edit name, status, priority, assignees, dates and description |
send_message | messages:write | Send the user's specified message |
create_project | projects:write | Create a project |
upload_file | files:write | Import a public HTTPS file |
Attaching files to tasks also requires files:write. Lists use cursors and at most 100 items per page; keep ordering and filters unchanged while paging. Search uses the workspace index and returns up to 20 ranked results per permitted source. It rechecks live access, deletion state and message-history limits before exposing snippets. Indexing may lag; unavailable sources are reported, and private chats and projectless items are excluded. Use filtered lists for exhaustive task discovery. File fetches return metadata, not file contents.
Read a task or Doc before editing its body. Content reads are capped at 20,000 characters and expose block handles; targeted edits reuse the collaboration service and version history. Large removals require explicit allowRemoval. A task assignee list replaces the current list: omit it to preserve, or use [] to unassign. Assignees must already belong to the project and workspace. Deletion, invitations, task moves and sharing changes are not exposed.
Writes require a UUID requestId; reuse it with unchanged arguments on retries. Completed results are encrypted and cached for 24 hours. An uncertain result is never repeated automatically: inspect Edworking before deciding what to do. This is not an upstream exactly-once transaction. Deduplication expires after 24 hours.
Development
Use Node 24 LTS (minimum 22.19). No OpenAI API key is needed.
npm cicp .env.example .env
Generate a key and save it as TOKEN_ENCRYPTION_KEY in .env:
node -e "console.log(require('crypto').randomBytes(32).toString('hex'))" npm run build node --env-file=.env dist/index.js
Run npm run check for type checking, security/integration tests and build. npm run dev starts a watcher when variables are already loaded by your shell.
For local stdio, configure your client to run npx -y @edworking/mcp@0.3.0 with EDWORKING_API_TOKEN supplied securely in its process environment, or build from source and run node /absolute/path/to/edworking-mcp/dist/stdio.js. The npm package is public. Stdio uses that token directly with Edworking and has in-memory deduplication that resets on restart.
Railway deployment
Use the included Dockerfile, attach a volume at /data, and set:
| Variable | Value |
|---|---|
NODE_ENV | production |
PORT | 3000 |
PUBLIC_BASE_URL | Stable public HTTPS origin, without /mcp |
DATABASE_PATH | /data/bellsprout.sqlite |
TOKEN_ENCRYPTION_KEY | Random 32-byte key encoded as 64 hex characters |
EDWORKING_API_URL | https://gateway.edworking.com/ |
EDWORKING_APP_URL | https://app.edworking.com |
Keep one replica, sleeping off and deployment overlap zero. /healthz checks the process and /readyz checks SQLite. Preserve the key across deployments. Optional ALLOWED_ORIGINS adds exact browser origins, OPENAI_DOMAIN_CHALLENGE serves the OpenAI verification value, and EDWORKING_CONNECT_URL enables a native Edworking connection page only after that page has shipped.
See operations, security and publication. Contributions follow CONTRIBUTING.md. Licensed under MIT.
Figma plugin and native Edworking consent
Deploy the matching Venusaur and Charizard changes before enabling this integration, and set EDWORKING_CONNECT_URL=https://app.edworking.com/settings/integrations?connection=mcp. Native consent issues a scoped 30-day credential directly to this server using the existing ApiToken model and issuance service, with no new table, column or migration. Users manage it in Profile → API tokens, using the existing revocation and rotation operations and their step-up checks. Rotating the token invalidates the previous connection and requires reconnecting. Manual personal-token creation keeps its existing step-up checks.
The fixed Figma client goes directly to Charizard’s /connect page for sign-in, workspace selection and explicit authorization. Its existing browser/nonce-bound handoff then finishes consent and returns through /connect/result, without another MCP approval screen. General MCP clients retain their consent flow and configured integration destination. Existing connections must reconnect to grant the seven plugin scopes (projects:read, tasks:read/write, docs:read/write, files:read/write); grants are not expanded silently.
The Edworking Figma plugin, maintained in the figma/ package of Charizard, uses /plugin/start, /plugin/poll, /plugin/refresh, /plugin/revoke, and /plugin/tool. This isolated transport permits opaque plugin origins without cookies. It accepts only its fixed OAuth client and a closed subset of the same tools. PKCE binds the browser callback and polling; client credentials never enter a Figma design. General OAuth and MCP origin restrictions are unchanged.
list_figma_tasks queries accessible tasks linked to a file or frame. link_figma_frame attaches the canonical frame URL to a permitted task. The latter can retry an uncertain response because the upstream serializable transaction is idempotent; task creation retains strict uncertain-write protection. Adding the reciprocal Dev Resource is done in Figma with addDevResourceAsync, without Figma REST OAuth.
Plugin-only helpers read account/workspace context, task lists and document folders, append native Figma blocks through the existing collaborative content service, and upload bounded attachment bytes through the existing File storage path. They are excluded from public MCP discovery; its catalog remains 24 tools. /plugin accepts up to 12 MB of JSON for an 8 MiB file; the public MCP request limit remains 256 KB. All calls retain upstream identity, workspace and permission checks. Task creation accepts optional Markdown content, priority, assignees, start date and list; document creation accepts an existing authorized folder. Legacy task description input remains supported but cannot be combined with content.
Creating from a Figma AI connector
The landing page includes a Figma / Figma Make setup guide alongside the other clients. Connect it to https://mcp.edworking.com/mcp after deploying the matching API and MCP changes.
The AI connector and the UI plugin are independent clients of this server. The AI uses the existing create_task and create_doc tools; it does not need the plugin running. Enable writing in the client and aut
Solo se muestra el principio; lee el resto en el repo