Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
MCP bridge to any SiLA 2 server (lab-automation standard).
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
LABMCP_ADDRESS, LABMCP_SIMULATE, LABMCP_READ_ONLY, LABMCP_LIMITSDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-sila2Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
LABMCP_ADDRESS envLABMCP_SIMULATE envLABMCP_READ_ONLY envLABMCP_LIMITS envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto K-Dense-AI bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.2) kam vor 43 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Aiterm MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
| Package | labmcp-sila2 |
| Instruments | Any SiLA 2 server: devices and middleware with SiLA 2 interfaces, and servers built with sila_python, sila_java, sila_csharp or sila_cpp |
| Interfaces | Ethernet: gRPC over HTTP/2 with TLS (or insecure test servers), mDNS server discovery |
| Protocol | SiLA 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 |
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:
CurrentTemperature property, plus TargetTemperature, RampRate and DeviceStateControlTemperature, an observable command with progress, intermediate responses and a DeviceBusy defined errorRunProgram, taking a list of {TargetTemperature, HoldTime} structuresSetRampRate, constrained to 0 < rate ≤ 10 K/sSwitchOffThe whole bridge runs through the real gRPC and FDL path.
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.--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=…. 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
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.*.
| Tool | Kind | Description |
|---|---|---|
call_command | ⚠️ hazard | Run 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 | 🛑 safety | Cancel 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 | 👁 read | Find 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 | 👁 read | Return 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 | 👁 read | Responses 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 | 👁 read | Status of an observable command started with call_command: waiting / running / finishedSuccessfully / finishedWithError, progress, estimated remaining time and the latest intermediate response. |
get_connection_info | 👁 read | Report 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 | 👁 read | Read the current value of a SiLA property (for observable properties: the first value of a subscription). |
get_server_info | 👁 read | Identify 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 | 👁 read | All observable command executions started in this session, newest last, with their status. |
list_features | 👁 read | Describe 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 | 🛑 safety | Close and re-open the connection to the instrument (e.g. after it was power cycled or a cable was re-plugged). |
subscribe_property | 👁 read | Collect a property's values for duration_s seconds (SiLA subscription for observable properties, polling otherwise) and summarise them (e.g. watch a temperature settle). |
| Limit | Default | Meaning |
|---|---|---|
max_command_wait_s | 300 s | Longest time call_command may block waiting for an observable command |
max_subscription_duration_s | 120 s | Longest subscribe_property collection |
max_discovery_s | 30 s | Longest mDNS discovery scan |
Override at launch, e.g. --limit max_command_wait_s=60. The main guards for commands:
| Guard | How |
|---|---|
| Hazard annotation | call_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 validation | parameter 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 |
| Cancellation | cancel_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 |
| Deadlines | unobservable 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.
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 stringsDate: YYYY-MM-DD[±HH:MM]Time: HH:MM:SS[±HH:MM]Timestamp: ISO 8601, UTC if no offset is givenAny: {"type": "Real", "value": 1.5}, basic types onlyexecution_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.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.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.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).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.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 fNur der Anfang wird gezeigt; den Rest findest du im Repo