Gravatar MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GRAVATAR_API_KEY | No | Optional API key for Gravatar API. If provided, it will be used for API requests, which increases rate limits and provides access to additional features. | |
| GRAVATAR_API_KEY_ENV_VAR | No | Optional name of the environment variable that contains the API key. Default is GRAVATAR_API_KEY. This is useful if you need to use a different environment variable name in your deployment environment. | GRAVATAR_API_KEY |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_profile_by_idA | Retrieve comprehensive Gravatar profile information using a profile identifier. Returns detailed profile data including personal information, social accounts, and avatar details. 'Get the profile for Gravatar user with ID abc123...' or 'Show me the profile for username johndoe.' |
| get_profile_by_emailA | Retrieve comprehensive Gravatar profile information using an email address. Returns detailed profile data including personal information, social accounts, and avatar details. 'Show me the Gravatar profile for john.doe@example.com' or 'Get profile info for user@company.com.' |
| get_inferred_interests_by_idA | Retrieve AI-inferred interests for a Gravatar profile using a profile identifier. Returns experimental machine learning-generated interest data based on public profile information. When searching for interests, prefer to look up the interests in the Gravatar profile over the inferred interests, since they are specified explicitly by the owner of the Gravatar profile. 'Get the inferred interests for user ID abc123...' or 'Show me inferred interests for username johndoe.' |
| get_inferred_interests_by_emailA | Retrieve AI-inferred interests for a Gravatar profile using an email address. Returns experimental machine learning-generated interest data based on public profile information. When searching for interests, prefer to look up the interests in the Gravatar profile over the inferred interests, since they are specified explicitly by the owner of the Gravatar profile. 'Get the inferred interests for user@example.com' or 'Show me inferred interests for john.doe@company.com.' |
| get_avatar_by_idA | Retrieve the avatar image for a Gravatar profile using an avatar identifier. More efficient when you already have the hashed identifier. 'Get the avatar image for this Gravatar ID' or 'Show me a 150px avatar for user ID abc123...' |
| get_avatar_by_emailA | Retrieve the avatar image for a Gravatar profile using an email address. The email is automatically normalized and hashed before querying the Gravatar API. 'Get the avatar image for user@example.com' or 'Show me a 200px avatar for john.doe@company.com.' |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
The tools are clearly grouped by resource (profile, interests, avatar) and identifier type (ID vs email), making their purposes distinct. However, the pairs for each resource overlap in outcome—only the lookup method differs—which could cause minor confusion about which to use. The descriptions clearly state the input difference, so ambiguity is limited.
All six tools follow a consistent verb_noun_by_identifier pattern: get_profile_by_id, get_profile_by_email, get_inferred_interests_by_id, etc. This uniformity makes the toolset highly predictable and easy to navigate.
Six tools is a reasonable size for a focused Gravatar read-only server. Each resource (profile, interests, avatar) has two lookup variants, covering the main read operations without bloat. The count is neither too thin nor excessive for the API's scope.
The server covers the primary read operations for Gravatar profiles: retrieving profile details, inferred interests, and avatars, each via both ID and email. Minor gaps exist, such as no explicit search or listing endpoints, but for a typical read-only Gravatar integration, the surface is sufficient.