Strava MCP Server
Servidor Strava MCP
Un servidor de Protocolo de Contexto de Modelo (MCP) que proporciona acceso a la API de Strava. Permite que los modelos de lenguaje consulten los datos de actividad de los atletas desde la API de Strava.
Herramientas disponibles
El servidor expone las siguientes herramientas:
Consultas de actividades
get_activities(limit: int = 10): Obtener las actividades recientes del atleta autenticadoget_activities_by_date_range(start_date: str, end_date: str, limit: int = 30): Obtener actividades dentro de un rango de fechas específicoget_activity_by_id(activity_id: int): Obtener información detallada sobre una actividad específicaget_recent_activities(days: int = 7, limit: int = 10): Obtener actividades de los últimos X días
Las fechas deben proporcionarse en formato ISO ( YYYY-MM-DD ).
Related MCP server: Strava MCP Server
Formato de datos de actividad
El servidor devuelve datos de actividad con nombres de campo y unidades consistentes:
Campo | Descripción | Unidad |
| Nombre de la actividad | - |
| Tipo de deporte | - |
| Fecha y hora de inicio | ISO 8601 |
| Distancia | metros |
| Tiempo total transcurrido | artículos de segunda clase |
| Tiempo de mudanza | artículos de segunda clase |
| Velocidad media | metros por segundo |
| Velocidad máxima | metros por segundo |
| Ganancia de elevación total | metros |
| Elevación más alta | metros |
| Elevación más baja | metros |
| Calorías quemadas | kcal |
| Coordenadas de inicio | [latitud, longitud] |
| Coordenadas finales | [latitud, longitud] |
Autenticación
Para usar este servidor, deberás autenticarte con la API de Strava. Sigue estos pasos:
Crear una aplicación API de Strava:
Crea una aplicación para obtener tu ID de cliente y tu secreto de cliente
Establezca el dominio de devolución de llamada de autorización en
localhost
Obtenga su token de actualización:
Utilice el script
get_strava_token.pyincluido: GXP1Siga las instrucciones para autorizar su solicitud.
El script guardará sus tokens en un archivo
.env
Establecer variables de entorno: el servidor requiere las siguientes variables de entorno:
STRAVA_CLIENT_ID: Su ID de cliente de la API de StravaSTRAVA_CLIENT_SECRET: Su secreto de cliente de la API de StravaSTRAVA_REFRESH_TOKEN: Su token de actualización de la API de Strava
Uso
Claude para escritorio
Actualice su claude_desktop_config.json (ubicado en ~/Library/Application\ Support/Claude/claude_desktop_config.json en macOS y %APPDATA%/Claude/claude_desktop_config.json en Windows) para incluir lo siguiente:
{
"mcpServers": {
"strava": {
"command": "uvx",
"args": [
"strava-mcp-server"
],
"env": {
"STRAVA_CLIENT_ID": "YOUR_CLIENT_ID",
"STRAVA_CLIENT_SECRET": "YOUR_CLIENT_SECRET",
"STRAVA_REFRESH_TOKEN": "YOUR_REFRESH_TOKEN"
}
}
}
}Claude Web
Para Claude Web, puedes ejecutar el servidor localmente y conectarlo usando la extensión MCP.
Consultas de ejemplo
Una vez conectado, puedes hacerle preguntas a Claude como:
"¿Cuales son mis actividades recientes?"
"Muéstrame mis actividades de la semana pasada"
"¿Cuál fue mi carrera más larga en el último mes?"
"Obtener detalles sobre mi última actividad ciclista"
Manejo de errores
El servidor proporciona mensajes de error legibles por humanos para problemas comunes:
Formatos de fecha no válidos
Errores de autenticación de API
Problemas de conectividad de red
Licencia
Este proyecto está licenciado bajo la licencia MIT: consulte el archivo de LICENCIA para obtener más detalles.
Available Tools
4 toolsget_activitiesB
Get the authenticated athlete's recent activities.
Args:
limit: Maximum number of activities to return (default: 10)
Returns:
Dictionary containing activities data
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions authentication ('authenticated athlete') but doesn't specify required permissions, rate limits, pagination behavior, or what happens if no activities exist. For a read operation with zero annotation coverage, this is insufficient.
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?
The description is well-structured and concise, using three clear sections: a purpose statement, parameter explanation, and return value note. Every sentence adds value without redundancy, and it's appropriately front-loaded with the core functionality.
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?
Given the tool's moderate complexity (read operation with one parameter) and lack of annotations/output schema, the description is minimally adequate. It covers the basic purpose and parameter but misses behavioral details like error handling or response format. The return statement is vague ('Dictionary containing activities data'), leaving gaps for the agent.
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?
The description adds meaningful context for the single parameter 'limit' by explaining it's the 'Maximum number of activities to return (default: 10)'. Since schema description coverage is 0% and there's only one parameter, this adequately compensates. However, it doesn't detail constraints like minimum/maximum values or how ordering works.
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?
The description clearly states the tool's purpose: 'Get the authenticated athlete's recent activities.' It specifies the verb ('Get'), resource ('activities'), and scope ('authenticated athlete's recent'). However, it doesn't explicitly distinguish this tool from its siblings like 'get_recent_activities' or 'get_activities_by_date_range', which appear to serve similar functions.
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?
The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_recent_activities' and 'get_activities_by_date_range' available, there's no indication of differences in scope, filtering, or use cases. This leaves the agent to guess based on tool names alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_activities_by_date_rangeB
Get activities within a specific date range.
Args:
start_date: Start date in ISO format (YYYY-MM-DD)
end_date: End date in ISO format (YYYY-MM-DD)
limit: Maximum number of activities to return (default: 30)
Returns:
Dictionary containing activities data
| Name | Required | Description | Default |
|---|---|---|---|
| start_date | Yes | ||
| end_date | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves activities but doesn't mention critical aspects like whether it's read-only, requires authentication, has rate limits, or pagination behavior. For a tool with 3 parameters and no annotations, this leaves significant gaps in understanding its operation.
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?
The description is well-structured with clear sections for Args and Returns, using bullet points for readability. It's front-loaded with the core purpose and efficiently explains parameters without unnecessary details. However, the 'Returns' section is vague ('Dictionary containing activities data'), slightly reducing efficiency.
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?
Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is partially complete. It excels in parameter semantics but lacks behavioral context and usage guidelines. Without an output schema, the vague return statement ('Dictionary containing activities data') is a minor gap, but overall, it meets a baseline for a read operation tool.
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?
The description adds substantial value beyond the input schema, which has 0% schema description coverage. It explicitly defines each parameter's purpose and format (e.g., 'start_date: Start date in ISO format (YYYY-MM-DD)'), including the default for 'limit.' This fully compensates for the lack of schema descriptions, making parameters clear and actionable.
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?
The description clearly states the tool's purpose as 'Get activities within a specific date range,' which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'get_activities' or 'get_recent_activities,' which likely have overlapping functionality.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get_activities' or 'get_recent_activities.' It mentions date range filtering but doesn't specify scenarios where this is preferred over other tools, leaving the agent without clear usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_activity_by_idC
Get detailed information about a specific activity.
Args:
activity_id: ID of the activity to retrieve
Returns:
Dictionary containing activity details
| Name | Required | Description | Default |
|---|---|---|---|
| activity_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves information, implying it is read-only, but does not specify authentication needs, rate limits, error handling, or what 'detailed information' entails. The description lacks behavioral context beyond the basic operation.
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?
The description is appropriately sized and front-loaded with the purpose in the first sentence. The 'Args' and 'Returns' sections add structure, but the return description ('Dictionary containing activity details') is vague and could be more informative. Overall, it is concise with little waste.
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?
Given no annotations, no output schema, and low schema coverage, the description is incomplete. It does not explain what 'detailed information' includes, potential errors, or how this tool fits with siblings. For a retrieval tool with undocumented behavior and output, more context is needed to guide effective use.
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?
The description adds minimal semantics: it names the parameter ('activity_id') and states it is 'ID of the activity to retrieve,' which clarifies the parameter's role. However, with 0% schema description coverage and only one parameter, the baseline is 4, but the description does not fully compensate by explaining format constraints or examples, so it scores slightly lower.
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?
The description clearly states the tool's purpose: 'Get detailed information about a specific activity.' It specifies the verb ('Get') and resource ('activity'), but does not differentiate from sibling tools like 'get_activities' or 'get_activities_by_date_range' beyond implying retrieval of a single activity by ID.
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?
The description provides no guidance on when to use this tool versus alternatives. It does not mention sibling tools or contexts where this tool is preferred, such as for retrieving a single known activity versus listing multiple activities. Usage is implied by the parameter name but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_recent_activitiesB
Get activities from the past X days.
Args:
days: Number of days to look back (default: 7)
limit: Maximum number of activities to return (default: 10)
Returns:
Dictionary containing activities data
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves activities but doesn't mention critical aspects like permissions required, rate limits, pagination behavior, or error conditions. The return format is vaguely described as a 'Dictionary containing activities data' without detailing structure or content.
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?
The description is efficiently structured with a clear purpose statement followed by well-organized sections for Args and Returns. Each sentence adds value without redundancy, and the formatting enhances readability. It's appropriately sized for a simple tool with two parameters.
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?
For a read-only tool with two simple parameters and no output schema, the description covers the basic purpose and parameters adequately. However, it lacks details on behavioral aspects like error handling or data format, and it doesn't provide usage guidance relative to siblings. Given the low complexity, it's minimally viable but has clear gaps in transparency and guidelines.
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?
The description adds meaningful context for both parameters beyond the schema's basic types and defaults. It explains that 'days' specifies 'Number of days to look back' and 'limit' sets the 'Maximum number of activities to return', which clarifies their functional roles. With 0% schema description coverage, this compensates well for the schema's lack of semantic detail.
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?
The description clearly states the tool's purpose with a specific verb ('Get') and resource ('activities'), specifying a time-based scope ('from the past X days'). It distinguishes from siblings like 'get_activity_by_id' by focusing on recent activities, though it doesn't explicitly differentiate from 'get_activities' or 'get_activities_by_date_range'.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get_activities_by_date_range' or 'get_activities'. It mentions a time-based scope but doesn't clarify if this is the preferred method for recent activities or when other tools might be more appropriate.
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.
4 tool updates
- First observed
get_activities - First observed
get_activities_by_date_range - First observed
get_activity_by_id - First observed
get_recent_activities
TDQS
Scored across 4 tools
Multiple tools have overlapping purposes that could cause confusion. get_activities and get_recent_activities both retrieve recent activities with similar parameters, while get_activities_by_date_range provides date-based filtering that could also be used for recent activities. Only get_activity_by_id has a clearly distinct purpose.
All tool names follow a consistent verb_noun pattern with snake_case formatting. The naming is perfectly consistent across all four tools, making them predictable and easy to understand at a glance.
With only 4 tools, this feels thin for a Strava server that presumably handles athlete activities. While the count is reasonable for a minimal implementation, it lacks coverage for other Strava domains like segments, clubs, or athlete profiles that would be expected.
The tool surface is severely incomplete for a Strava integration. While it provides multiple ways to read activities, there are no tools for creating, updating, or deleting activities, nor any coverage of other Strava resources like segments, clubs, gear, or athlete statistics. This creates significant gaps that will limit agent capabilities.
Maintenance
Related MCP Connectors
Strava MCP tools for AI: athletes, activities, segments, clubs, routes. Powered by HAPI MCP server.
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