Strava MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation2/5
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.
Naming Consistency5/5All 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.
Tool Count3/5With 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.
Completeness2/5The 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.
Average 3.2/5 across 4 of 4 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 0 of 1 community issues answered or closed in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
Add related servers to improve discoverability.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
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.
Conciseness4/5Is 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.
Completeness2/5Given 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.
Parameters3/5Does 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.
Purpose4/5Does 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.
Usage Guidelines2/5Does 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.
- Behavior2/5
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.
Conciseness5/5Is 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.
Completeness3/5Given 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.
Parameters4/5Does 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.
Purpose4/5Does 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.
Usage Guidelines2/5Does 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.
- Behavior2/5
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.
Conciseness5/5Is 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.
Completeness3/5Given 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.
Parameters4/5Does 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.
Purpose4/5Does 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.
Usage Guidelines2/5Does 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.
- Behavior2/5
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.
Conciseness4/5Is 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.
Completeness3/5Given 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.
Parameters5/5Does 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.
Purpose4/5Does 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.
Usage Guidelines2/5Does 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.
GitHub Badge
Glama performs regular codebase and documentation scans to:
- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
Our badge communicates server capabilities, safety, and installation instructions.
Card Badge
Copy to your README.md:
Score Badge
Copy to your README.md:
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/tomekkorbak/strava-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server