Pydantic AI Documentation Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| update_documentationC | Clones/updates the Pydantic repo, parses docs, and rebuilds the search index. |
| get_document_by_pathA | Retrieves a specific document by its path relative to the Pydantic documentation root (e.g., 'usage/models.md'). Returns the ParsedDocument if found, otherwise None. |
| list_topicsB | Lists files and directories non-recursively within the Pydantic documentation. The path is relative to the 'docs/' directory in the cloned Pydantic repository. |
| list_available_changelogsB | Lists all available changelog files found in the Pydantic-AI documentation repository (e.g., in 'docs/history/'). |
| get_changelog_contentC | Retrieves the parsed content of a specific changelog file. The path should be relative to the Pydantic-AI documentation root's 'docs' directory (e.g., 'history/0.1.0.md'). |
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 5 tools
Each tool has a clearly distinct purpose with no overlap: get_changelog_content retrieves specific changelog content, get_document_by_path retrieves general documents, list_available_changelogs lists changelog files, list_topics lists general documentation topics, and update_documentation handles repository maintenance and indexing. The descriptions clearly differentiate their scopes and use cases.
The naming follows a consistent verb_noun pattern with snake_case throughout (e.g., get_changelog_content, list_available_changelogs). The only minor deviation is update_documentation, which uses a verb_noun structure but lacks a direct object like the others, though it remains readable and fits the pattern well overall.
With 5 tools, the count is well-scoped for a documentation server, covering key operations like retrieving documents, listing content, and updating the repository. Each tool earns its place without feeling excessive or insufficient for the domain of documentation management.
The tool set provides good coverage for documentation retrieval and management, including reading, listing, and updating. A minor gap is the lack of tools for creating or modifying documents, but this is reasonable for a read-focused server, and agents can work around this with the update_documentation tool for broader changes.