Abscissa

Name: Abscissa
Author: KazKozDev

@KazKozDev

代码仓库主页文档

关于 Abscissa

A safety-aware MCP server that lets AI agents manage Linear issues, projects, cycles, and dependencies.

#linear #mcp #model-context-protocol #project-management #ai-agents

基本信息

分类

生产力

许可证

MIT

运行时

python

发布者

KazKozDev

提交者

Artem KK

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "abscissa": {
      "command": "abscissa",
      "args": [],
      "env": {
        "LINEAR_API_KEY": "lin_api_..."
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Abscissa?

Abscissa is a safety-aware MCP server for Linear. It gives MCP-compatible AI clients tools for working with Linear issues, projects, cycles, comments, labels, workflow states, users, and issue dependencies.

How to use Abscissa

Install Abscissa from PyPI:

pip install abscissa

Create a Linear personal API key, then register Abscissa as a stdio MCP server in your MCP-compatible client.

Key features

35 tools for Linear issues, projects, cycles, labels, workflow states, teams, users, comments, and dependencies.
Cursor pagination for list and search operations.
Current-user resolution through get_current_user and get_user_issues.
Issue dependency tools for blocked and blocking relationships.
Explicit confirm=true protection for destructive archive and delete actions.
Published on PyPI and the official MCP Registry.

Tools

get_current_user
create_issue
update_issue
search_issues
get_user_issues
get_issue
assign_issue
add_comment
set_issue_estimate
archive_issue
delete_issue
list_issue_dependencies
add_issue_dependency
remove_issue_dependency
list_workflow_states
list_issue_labels
create_label
add_issue_label
remove_issue_label
list_teams
get_team
list_users
create_project
get_project
list_projects
list_project_issues
set_issue_project
remove_issue_from_project
update_project
archive_project
create_cycle
update_cycle
archive_cycle
list_cycles
list_cycle_issues

Use cases

Show your open Linear issues grouped by project.
Create and update Linear issues from an MCP-compatible AI client.
Add comments, labels, estimates, assignees, and project links.
Review blockers by listing issues that block or are blocked by another issue.
Inspect cycles and cycle issues for sprint or weekly planning.

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