Berlin Transport MCP Server
Servidor MCP de Transporte de Berlín
Un servidor MCP que proporciona acceso a los datos de transporte público de Berlín a través de la API VBB (Verkehrsverbund Berlin-Brandenburg). Este servidor encapsula la API v6.vbb.transport.rest .
Herramientas disponibles
1. paradas de búsqueda
Búsqueda de paradas de transporte público en Berlín-Brandeburgo.
Parámetros:
query(cadena): consulta de búsqueda de paradas
2. obtener_salidas
Obtenga las próximas salidas para una parada específica.
Parámetros:
stop_id(cadena): ID de parada para obtener las salidasresults(número, opcional): Número de resultados a devolver
3. obtener_viajes
Obtenga opciones de viaje de una parada a otra.
Parámetros:
from(cadena): ID de parada de origento(cadena): ID de parada de destinodeparture(cadena, opcional): hora de salida (p. ej., "mañana a las 14 h")results(número, opcional): Número de resultados a devolver
Related MCP server: BVG MCP Server
Conecte Claude Desktop a su servidor MCP
También puede conectarse a su servidor MCP remoto desde clientes MCP locales, utilizando el proxy mcp-remote .
Para conectarse a su servidor MCP desde Claude Desktop, siga el inicio rápido de Anthropic y dentro de Claude Desktop vaya a Configuración > Desarrollador > Editar configuración.
Actualizar con esta configuración:
{
"mcpServers": {
"calculator": {
"command": "npx",
"args": [
"mcp-remote",
"https://berlin-transport.mcp-tools.app/sse" // or if local http://localhost:8787/sse
]
}
}
}Reinicia Claude y deberías ver que las herramientas están disponibles.
Documentación de la API
Para obtener más detalles sobre la API subyacente, visita v6.vbb.transport.rest/getting-started.html .
Empezar:
Esto implementará su servidor MCP en una URL como: remote-mcp-server-authless.<your-account>.workers.dev/sse
Alternativamente, puede utilizar la línea de comando a continuación para crear el servidor MCP remoto en su máquina local:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authlessPersonalización de su servidor MCP
Para agregar sus propias herramientas al servidor MCP, defina cada herramienta dentro del método init() de src/index.ts usando this.server.tool(...) .
Conéctese a Cloudflare AI Playground
Puedes conectarte a tu servidor MCP desde Cloudflare AI Playground, que es un cliente MCP remoto:
Ingrese la URL de su servidor MCP implementado (
remote-mcp-server-authless.<your-account>.workers.dev/sse)¡Ahora puedes usar tus herramientas MCP directamente desde el área de juegos!
Available Tools
3 toolsget_departuresD
| Name | Required | Description | Default |
|---|---|---|---|
| stop_id | Yes | Stop ID to get departures for | |
| results | No | Number of results to return |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_journeysD
| Name | Required | Description | Default |
|---|---|---|---|
| from | Yes | Origin stop ID | |
| to | Yes | Destination stop ID | |
| departure | No | Departure time (e.g. tomorrow 2pm) | |
| results | No | Number of results to return |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_stopsD
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query for stops |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
get_departures - First observed
get_journeys - First observed
search_stops
TDQS
Scored across 3 tools
The three tools have distinct purposes: get_departures likely retrieves departure times, get_journeys handles route planning, and search_stops finds stops or stations. While there is some potential overlap between get_departures and get_journeys (both involve travel information), the names suggest clear enough separation for an agent to differentiate them effectively.
All tool names follow a consistent verb_noun pattern with snake_case: get_departures, get_journeys, and search_stops. This uniformity makes the tool set predictable and easy to understand, with no deviations in naming style.
With only 3 tools, the server feels thin for a transport domain that typically requires more operations like route details, fare information, or service alerts. While it covers basic functions, the count is borderline low for comprehensive transport-related tasks.
The tool set has significant gaps for a transport server. It lacks essential operations such as getting route details, checking fares, accessing service status or alerts, and managing user preferences. This incomplete coverage will likely cause agent failures when handling common transport queries beyond basic departure and journey lookups.
Maintenance
Related MCP Connectors
Journeys, departures, line courses, disruptions in Germany; nearby sharing as currently reported.
Read-only public transit departures, stop search, and city coverage for bus and train users.
Real-time transit stops, routes, arrivals, vehicle positions, and schedules via OneBusAway APIs.
Swiss Transport MCP — wraps Transport Open Data API (free, no auth)
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