cline is a Doramagic Project Pack for MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks. It links the upstream repository, source-backed manual, prompt preview, AI context, and risk boundaries so users can evaluate the project before installation.

What should I verify first?

Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.. Keep credentials out of the first run, record expected output, define cleanup, and use public sample data before real workloads.

What is the main risk?

May increase setup, validation, or first-run risk for the user.. Use upstream documentation and a sandbox validation path before adoption.

MCP Tool Integration · Public

cline

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot62k stars

6.6k forks · 293 contributors

Doramagic.ai Last verification date: 2026-06-01 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-01

What is cline?

cline helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/cline/cline, https://github.com/cline/cline#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Repositorycline/cline

62k stars · 6.6k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction to Cline

Related topics: Product Comparison and Use Cases, Hub-Spoke Architecture

Source: https://github.com/cline/cline / Human Manual

Quick Start Guide

Related topics: Introduction to Cline, Provider System and Model Adapters

Source: https://github.com/cline/cline / Human Manual

Product Comparison and Use Cases

Hub-Spoke Architecture

Related topics: Core Components: ClineCore, Agents, and Session Management

Source: https://github.com/cline/cline / Human Manual

Core Components: ClineCore, Agents, and Session Management

Related topics: Hub-Spoke Architecture, Code Editing Tools and File Operations

Source: https://github.com/cline/cline / Human Manual

Sources: https://github.com/cline/cline, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars62k stars

Forks6.6k forks

Contributors293 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using cline with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Feature: Add Clarvia MCP quality scorer to recommended MCP servers
github / github_issue
02
Clarvia AEO Score: Quality validation for MCP servers used in Cline
github / github_issue
03
lm studio issues
github / github_issue
04
Add HVTracker badge to README?
github / github_issue
05
403 Kimi For Coding is currently only available for Coding Agents such a
github / github_issue
06
Cline's OpenRouter integration lacks provider pinning, inflating costs b
github / github_issue
07
Installation risk requires verification
GitHub / issue
08
Installation risk requires verification
GitHub / issue
09
Configuration risk requires verification
GitHub / issue
10
Security or permission risk requires verification
GitHub / issue
11
Security or permission risk requires verification
GitHub / issue
12
Security or permission risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm i -g cline

Official start command · https://github.com/cline/cline#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

cline Manual

Cline functions as an intelligent coding assistant that reads your project structure, understands file relationships, and makes coordinated changes across your codebase. As it works, it mo...

Open the full manual

https://github.com/cline/cline Project Manual
Table of Contents
Introduction to Cline
Related Pages
Overview
Core Capabilities
Autonomous Code Editing
Terminal Command Execution

Introduction to Cline

Related topics: Product Comparison and Use Cases, Hub-Spoke Architecture

Source: https://github.com/cline/cline / Human Manual

Quick Start Guide

Related topics: Introduction to Cline, Provider System and Model Adapters

Source: https://github.com/cline/cline / Human Manual

Product Comparison and Use Cases

Hub-Spoke Architecture

Related topics: Core Components: ClineCore, Agents, and Session Management

Source: https://github.com/cline/cline / Human Manual

Core Components: ClineCore, Agents, and Session Management

Related topics: Hub-Spoke Architecture, Code Editing Tools and File Operations

Source: https://github.com/cline/cline / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.