Schema | @shareworker/code-review-mcp

@shareworker/code-review-mcp

Official

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
get_review_targetsA	Determine which files need review from a git diff. Applies file filtering and returns a diff_ref to pass to downstream tools.
get_file_bundleA	Group related files into review bundles (test/source pairs, i18n variants) with a 20000 char cap. Pass the diff_ref from get_review_targets.
match_rulesB	Return applicable review rules for a file path, merged into a prompt_section for the host LLM.
position_commentB	Locate a comment to precise line numbers. Text matching primary (hunk new-side → old-side → full file), hunk alignment fallback. Pass diff_ref from get_review_targets.
reflect_commentA	Deterministic validation of a positioned comment. Returns keep or drop. Does not call LLM. Three checks: line_in_hunk, existing_code_found, existing_code_in_diff.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shareworker/code-review'

If you have feedback or need assistance with the MCP directory API, please join our Discord server