mcp-gitee-ent

oschina/mcp-gitee-ent

3.2

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Gitee Enterprise MCP Server is a Model Context Protocol server implementation for Gitee Enterprise, providing tools for managing repositories, issues, and pull requests.

Tools

Functions exposed to the LLM to take actions

comment_enterprise_issue

Comment on an issue

comment_enterprise_pull

Comment on a pull request in an enterprise

create_enterprise_issue

Create an issue in an enterprise

create_enterprise_repo_pull

Create a pull request for repository in an enterprise

create_enterprise_repo_release

Create a release for repository in an enterprise

create_enterprise_repository

Create a repository in an enterprise

create_scrum_sprint

Create a Scrum Sprint

get_enterprise_issue_detail

Get issue detail

get_enterprise_pull_detail

Get the detail of a pull request

get_enterprise_pull_diff

Get the diff of a pull request

get_enterprise_repo_tree

Get the tree of a repository

get_enterprise_repository_file_content

Get the content of the specified file in the repository

get_user_info

Get user info

list_enterprise_groups

List groups in an enterprise

list_enterprise_issue_comments

List comments of an issue

list_enterprise_issues

List issues in an enterprise

list_enterprise_labels

List labels of an enterprise

list_enterprise_members

List members of an enterprise

list_enterprise_pull_comments

List comments of a pull request

list_enterprise_pulls

List enterprise pull requests

list_enterprise_repo_releases

List releases for repository in an enterprise

list_enterprise_repositories

List repositories in an enterprise

list_enterprises

List user's enterprises

list_issue_type_states

List issue states of an issue type

list_issue_types

List issue types of an enterprise

list_programs

List programs of an enterprise

list_scrum_sprints

List Scrum Sprints

list_scrum_versions

List Scrum Versions

merge_enterprise_pull

Merge a pull request in an enterprise

update_enterprise_issue

Update an issue in an enterprise

update_enterprise_pull

Update a pull request in an enterprise

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources