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FitLog is a self-hosted Model Context Protocol (MCP) server described by its author as a way for Alexa+ to record workouts and protein-related information. It provides tools for logging sessions, retrieving training history and personal records, planning workouts, and checking nutrition targets. The author reports that it is written using only Python’s standard library and implements OAuth 2.1; those project details and its test results have not been independently verified.
What FitLog is designed to do
FitLog connects a voice assistant to personal fitness data through MCP, a protocol for exposing tools to AI clients. The author describes using Alexa+ to send requests to a server the user hosts, rather than treating workout history as a feature of a paper journal. The example spoken command in the project article is: “log bench press, 185 for 5, three sets.” It illustrates the intended interaction; it is not evidence of typical recognition accuracy or measured product performance.
The author lists six tools:
log_workoutrecords exercise activity.get_historyretrieves past activity.get_personal_recordslooks up personal records.plan_workoutsupports workout planning.log_proteinrecords protein information.get_nutrition_targetsretrieves nutrition targets.
These capabilities make the project broader than a voice-controlled exercise log: its described scope includes both training records and nutrition-related information. The descriptions do not establish how the tools model exercises, calculate targets, or handle corrections.
How the author says the server handles security
The project author reports implementing OAuth 2.1, storing authorization codes and tokens in SQLite, and supporting the fitlog.read and fitlog.write scopes. The author also says owner login is rate-limited and the server fails closed if no password is configured. These are author-reported implementation claims; the code and security behavior were not independently inspected.
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Amazon’s current Alexa+ MCP guidance sets requirements that are separate from those project claims. For an Alexa+ integration, the server must use Streamable HTTP and be reachable at a remote URL. Amazon’s authentication checklist calls for RFC 9728 Protected Resource Metadata and OAuth authorization-code flow with PKCE using the S256 method. The current Alexa+ MCP QuickStart also says unauthenticated requests should receive a 401 response without a WWW-Authenticate header; its guide lists that header in 401 responses as not supported yet.
The MCP authorization specification describes OAuth authorization for HTTP-based transports, requires Protected Resource Metadata, and says clients should send bearer tokens in the Authorization header—not in a URL query string. Because client-specific requirements can differ, follow Amazon’s current Alexa+ guidance when building for Alexa+, rather than assuming every MCP client follows identical behavior. See the MCP authorization specification.
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What Alexa+ integration requires—and what is not established
Amazon’s QuickStart specifies a round-trip query response latency of less than 500 ms. The project description provides no latency measurement, so it does not establish that FitLog meets this platform requirement. Likewise, the author’s mention of Streamable HTTP and MCP spec 2025-11-25 does not by itself verify that the implementation satisfies Amazon’s full authentication checklist or is currently available as an Alexa+ add-on.
Amazon says account linking is optional, but appropriate when tools need to identify a user, access user-specific data, or act on a customer’s behalf. A service that records an individual’s workouts and retrieves that person’s history has a clear reason to use account linking. Amazon’s account-linking guidance explains the choice.
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FitLog versus a paper workout journal
The choice is less about which format is universally better than how you want to record and use your data. The trade-offs below follow from FitLog’s described tools and hosting model; they are not results from a comparative test.
| Consideration | FitLog as described | Paper journal |
|---|---|---|
| Logging during a workout | Voice-oriented, hands-free interaction is the stated use case; actual recognition and reliability are not established. | Requires writing entries by hand. |
| Reviewing history and records | Includes named tools for history and personal records. | Depends on how consistently entries are organized and reviewed. |
| Data control and upkeep | Self-hosting gives the user responsibility for server operation and data handling. | Requires keeping and protecting the physical journal. |
| Nutrition tracking | Includes named tools for logging protein and retrieving nutrition targets. | Can hold nutrition notes if the user chooses to record them. |
A paper journal is a practical option for someone who prefers a physical record or does not want to operate a server. FitLog’s appeal is the possibility of voice-driven entry and retrieval through a self-hosted service, alongside its nutrition-related tools.
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What the project report does—and does not—verify
The author describes FitLog as a standard-library-only Python project, MIT-licensed, and built for the Alexa+ track of Amazon’s “Build, Ship, Shape” hackathon. The author also reports 49 of 49 tests passing. These details are reported by the project author, not independently verified; the available sources do not establish that the project was submitted to or accepted by the hackathon, won an award, or became a published Alexa+ add-on.
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