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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

SiLA 2 Bridge

de K-Dense-AIversión 0.1.2i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.K-Dense-AI/labmcp-sila2

Instalar

Resumen

Descripción del creador (original en inglés)

MCP bridge to any SiLA 2 server (lab-automation standard).

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.

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 tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITS

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "labmcp-sila2": {
      "command": "uvx",
      "args": [
        "labmcp-sila2"
      ],
      "env": {
        "LABMCP_ADDRESS": "your-value",
        "LABMCP_SIMULATE": "your-value",
        "LABMCP_READ_ONLY": "your-value",
        "LABMCP_LIMITS": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add labmcp-sila2 --env LABMCP_ADDRESS=your-value --env LABMCP_SIMULATE=your-value --env LABMCP_READ_ONLY=your-value --env LABMCP_LIMITS=your-value -- uvx labmcp-sila2

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "labmcp-sila2": {
      "command": "uvx",
      "args": [
        "labmcp-sila2"
      ],
      "env": {
        "LABMCP_ADDRESS": "your-value",
        "LABMCP_SIMULATE": "your-value",
        "LABMCP_READ_ONLY": "your-value",
        "LABMCP_LIMITS": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "labmcp-sila2": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "labmcp-sila2"
      ],
      "env": {
        "LABMCP_ADDRESS": "your-value",
        "LABMCP_SIMULATE": "your-value",
        "LABMCP_READ_ONLY": "your-value",
        "LABMCP_LIMITS": "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.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • LABMCP_ADDRESS env
    Instrument address, e.g. serial:///dev/ttyUSB0 or tcp://192.168.1.50:5025
  • LABMCP_SIMULATE env
    Set to 1 to use the built-in simulator (no hardware)
  • LABMCP_READ_ONLY env
    Set to 1 to disable all state-changing tools
  • LABMCP_LIMITS env
    Safety limit overrides, e.g. max_temperature_c=80

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

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub K-Dense-AI, 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

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 18733 servidores de esta categoría
  • Publicado en el registro más recientemente que el 51% de los otros 18733 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 18733 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 SiLA 2 Bridge?

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.

¿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 tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.2) llegó al registro hace 43 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, SwarmMemo

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

de formulahendryInicial↓ 66/sem★ 440Actualizado hace 14 meses

Se ejecuta en tu computadora

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

de desktop-commanderEn crecimiento★ 211Actualizado hace 4 días

Se ejecuta en la nube✓ desktopcommander.app

SwarmMemo

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

de Hugo0InicialActualizado hoy

Se ejecuta en la nube✓ swarmmemo.com

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.

SiLA 2 Bridge — MCP Server

Let an AI agent work with any SiLA 2 server: liquid handlers, incubators, plate readers, robotic arms, balances or scheduling middleware that implement the open SiLA 2 lab-automation standard. The bridge reads the server's own Feature Definitions (FDL), so it knows every command, property, parameter type, unit and constraint. It validates parameters against the FDL before sending, runs and tracks long-running (observable) commands, and cancels them through SiLA's CancelController.

Packagelabmcp-sila2
InstrumentsAny SiLA 2 server: devices and middleware with SiLA 2 interfaces, and servers built with sila_python, sila_java, sila_csharp or sila_cpp
InterfacesEthernet: gRPC over HTTP/2 with TLS (or insecure test servers), mDNS server discovery
ProtocolSiLA 2 v1.x (Part A & Part B specifications, FDL schemas & core features, client library sila2 (docs))
Status🧪 simulated: tested against a real in-process SiLA 2 server (sila2 library, gRPC on localhost), not yet verified against vendor servers. Report a hardware test

Try it without hardware

uvx labmcp-sila2 --simulate --check

--simulate starts a real SiLA 2 server in-process, built with the sila2 library. It runs on 127.0.0.1 on a free port, unencrypted, with discovery off. It implements a simulated thermoblock feature (org.labmcp/simulation/TemperatureController/v1) and the official CancelController feature:

  • the observable CurrentTemperature property, plus TargetTemperature, RampRate and DeviceState
  • ControlTemperature, an observable command with progress, intermediate responses and a DeviceBusy defined error
  • RunProgram, taking a list of {TargetTemperature, HoldTime} structures
  • SetRampRate, constrained to 0 < rate ≤ 10 K/s
  • SwitchOff

The whole bridge runs through the real gRPC and FDL path.

Connect your SiLA server

  1. Find it. Use the discover_servers tool (mDNS _sila._tcp), or run the server with its address and port shown. SiLA has no default port, but 50052 is common.
  2. TLS. SiLA 2 servers use TLS by default, and most generate a self-signed certificate at startup. Pass that certificate's CA as --option root_cert=ca.pem: many servers write it to a file or publish it in their discovery record. Servers started in insecure test mode need --option insecure=true. For mutual TLS, add --option client_cert=… --option client_key=….
  3. Test the connection:
   uvx labmcp-sila2 --address 192.168.1.40:50052 --option root_cert=~/sila/ca.pem --check

uvx labmcp-sila2 --address sila://localhost:50052 --option insecure=true --check # test server uvx labmcp-sila2 --option server_name="Liquid Handler 1" --option root_cert=ca.pem --check # via discovery

Add to your MCP client

Claude Code

claude mcp add sila -- uvx labmcp-sila2 --address 192.168.1.40:50052 --option root_cert=/path/ca.pem

Claude Desktop / Cursor / Windsurf (claude_desktop_config.json, .cursor/mcp.json, …)

{

"mcpServers": { "sila": { "command": "uvx", "args": ["labmcp-sila2", "--address", "192.168.1.40:50052", "--option", "root_cert=/path/ca.pem", "--option", "command_allowlist=Incubator.*,PlateReader.ReadPlate"] } } }

--read-only lets the agent browse features, read and subscribe to properties, and check command status, but not call commands. cancel_command stays available. To restrict which commands may run, use --option command_allowlist=Feature.Command,Feature.*. Entries can also be separated by ; or spaces, which is handy inside LABMCP_OPTIONS=command_allowlist=A.B;C.*.

Tools

ToolKindDescription
call_command⚠️ hazardRun a SiLA command. This may physically act on the device (move, dispense, heat, shake, open doors): tell the user what will happen first. Parameters are validated against the Feature Definition before anything is sent, and the command must be in the allow-list if one is set. Unobservable commands return their responses; observable ones return an execution_id.
cancel_command🛑 safetyCancel a running observable command, or all commands, through SiLA's CancelController feature. Always available (even read-only). If the server has no CancelController, this explains that and points to the device's own stop command.
discover_servers👁 readFind SiLA 2 servers on the local network with SiLA Server Discovery (mDNS _sila._tcp). Lists name, UUID, address and port of each without connecting. Does not need a configured server.
get_command_log👁 readReturn the most recent raw commands sent to / replies received from the instrument (newest last). Useful for debugging and for recording what was done.
get_command_result👁 readResponses of a finished observable command, or the SiLA execution error it finished with. Fails with a clear message if the command is still running.
get_command_status👁 readStatus of an observable command started with call_command: waiting / running / finishedSuccessfully / finishedWithError, progress, estimated remaining time and the latest intermediate response.
get_connection_info👁 readReport which instrument is connected (identity, address, simulated or real), whether the server is read-only, and the active safety limits. Call this first.
get_property👁 readRead the current value of a SiLA property (for observable properties: the first value of a subscription).
get_server_info👁 readIdentify the connected SiLA server (name, type, UUID, version, vendor, description), list its features, and say whether commands can be cancelled and which commands this bridge may call.
list_executions👁 readAll observable command executions started in this session, newest last, with their status.
list_features👁 readDescribe the server's features from their Feature Definitions: every command (observable or not, parameters, responses, intermediate responses, defined errors, and whether the allow-list permits calling it) and every property, with types rendered as JSON-schema-like dicts including units and constraints.
reconnect🛑 safetyClose and re-open the connection to the instrument (e.g. after it was power cycled or a cable was re-plugged).
subscribe_property👁 readCollect a property's values for duration_s seconds (SiLA subscription for observable properties, polling otherwise) and summarise them (e.g. watch a temperature settle).

Safety limits

LimitDefaultMeaning
max_command_wait_s300 sLongest time call_command may block waiting for an observable command
max_subscription_duration_s120 sLongest subscribe_property collection
max_discovery_s30 sLongest mDNS discovery scan

Override at launch, e.g. --limit max_command_wait_s=60. The main guards for commands:

GuardHow
Hazard annotationcall_command is marked destructive, so MCP clients ask before running it
Allow-list--option command_allowlist=Feature.Command,...: other commands are refused before anything is sent, and list_features shows callable: false for them
FDL validationparameter names must match exactly. Types, ranges (min/max, inclusive or exclusive), sets, lengths, patterns, element counts, fully qualified identifiers and structure fields are checked against the server's FDL before sending
Read-only mode--read-only hides call_command
Cancellationcancel_command (SAFETY) uses CancelController.CancelCommand / CancelAll when the server implements that feature, and otherwise says so and points to the device's own stop command
Deadlinesunobservable commands and property reads time out after call_timeout_s (default 30 s, at most 300 s) instead of hanging; a subscription opened for a timed-out read is cancelled, and an observable command the server accepts after the deadline still appears in list_executions so it can be cancelled

The server always re-validates too, so parameters rejected there come back as SiLA validation errors.

Example prompts

  • "What SiLA servers are on the network, and what can the incubator do?"
  • "Set the incubator to 37 °C and tell me when it has reached the temperature."
  • "Watch the plate reader's chamber temperature for a minute and tell me if it's stable."
  • "Run the 'PCR-short' program on the thermocycler, poll its progress every 30 seconds, and report the result."
  • "Something's wrong, cancel everything that's running on the liquid handler."
  • "Show me the parameters (types, units and allowed ranges) of the robot's MovePlate command."

Notes

  • Types as JSON. list_features renders each SiLA type as a JSON-schema-like dict: Real becomes number, Integer becomes integer, List becomes array and Structure becomes object. SiLA units appear as x-unit (the label) and x-unit-si (the conversion to SI base units, *SI = value × factor + offset*). Other SiLA details use x-sila-* keys. Values are passed as JSON:
  • Binary: base64 strings
  • Date: YYYY-MM-DD[±HH:MM]
  • Time: HH:MM:SS[±HH:MM]
  • Timestamp: ISO 8601, UTC if no offset is given
  • Any: {"type": "Real", "value": 1.5}, basic types only
  • Observable commands return an execution_id right away. get_command_status reports the SiLA execution status (waiting, running, finishedSuccessfully, finishedWithError), progress, estimated remaining time and the latest intermediate response. get_command_result returns the responses, or the defined/undefined execution error together with the error's description from the FDL. Pass wait_s to call_command for short runs. Executions are tracked only for this session and are forgotten on reconnect.
  • Cancellation isn't part of core SiLA. It needs the server to implement org.silastandard/core.commands/CancelController/v1, and get_server_info reports whether it does. Some vendors provide their own Stop/Abort commands instead, which list_features shows.
  • SiLA client metadata (e.g. a LockController lock identifier or an AuthorizationService access token) can be passed with metadata={"LockController.LockIdentifier": "…"} on call_command, get_property and subscribe_property. Values are validated against the metadata's FDL type.
  • Feature Definitions are parsed only after refusing any DOCTYPE/entity declaration (SiLA FDL never uses one), so a hostile server can't trigger XML entity expansion. Features that the sila2 library rejects as invalid are left out of list_features (the command log records why).
  • Not checked locally: Schema and ContentType constraints, and the Unit constraint, which is informational. The server enforces these. Large binaries (over 2 MB) use SiLA binary transfer, which the sila2 library handles.
  • Library limitation (sila2 ≤ 0.14): a *Constrained List* used directly as a command parameter or response can't be unpacked. Parameters are affected on servers built with sila2, which is why the simulator's RunProgram uses a plain list and checks the 1–10 steps itself. Responses of that shape are affected in this bridge: the server executes the command, but its response can't be decoded. The bridge reports this as "WAS EXECUTED … could not be decoded" so the command is not repeated blindly. Properties of that shape decode f

Solo se muestra el principio; lee el resto en el repo

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