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CLI

Safety: 55/100

0.0(0)

A command-line interface for interacting with Model Context Protocol servers, supporting multiple LLM providers, tool execution, and various operational modes.

MCP ServersFreemium

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Overview

A command-line interface for interacting with Model Context Protocol servers, supporting multiple LLM providers, tool execution, and various operational modes.

The MCP CLI offers a balance of functionality and security. It is relatively safe when used with local LLMs and filesystem access disabled. However, using cloud providers and enabling tool execution introduces risks that require careful configuration and monitoring.

Performance depends on the chosen LLM provider, model size, and network latency. Local LLMs offer lower latency but may have limited reasoning capabilities.

Using cloud-based LLM providers incurs costs based on API usage (tokens, requests). Consider the cost implications when designing automated workflows.

HybridPython1,888 starsNOASSERTIONCI/CD

Connections & Capabilities

Connects To

GitHubSQLiteNotionFilesystemAzurePlaywright

Capabilities

ReadWriteExecAdmin

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Quickstart

Install

pip install "mcp-cli[cli]"        # Basic CLI features

Claude Desktop Config

{
  "mcpServers": {
    "sqlite": {
      "command": "python",
      "args": ["-m", "mcp_server.sqlite_server"],
      "env": {
        "DATABASE_PATH": "database.db"
      }
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"],
      "env": {}
    },
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@brave/brave-search-mcp-server"],
      "env": {
        "BRAVE_API_KEY": "${TOKEN:bearer:brave_search}"
      }
    },
    "notion": {
      "url": "https://mcp.notion.com/mcp",
      "headers": {
        "Authorization": "Bearer ${TOKEN:bearer:notion}"
      }
    }
  }
}

Environment Variables

OPENAI_API_KEYANTHROPIC_API_KEYAZURE_OPENAI_API_KEYAZURE_OPENAI_ENDPOINTAPI_KEY

Tools (5)

critical

execute_shell_command

Executes a shell command on the underlying system.

Unrestricted shell access can lead to arbitrary code execution.

moderate

read_file

Reads the content of a file from the filesystem.

Can expose sensitive information if not properly controlled.

high

write_file

Writes content to a file on the filesystem.

Can modify system files or user data.

safe

search_web

Searches the web for information.

Read-only operation with no direct side effects.

safe

get_current_time

Retrieves the current date and time.

Read-only operation with no side effects.

Security

Auth Method

API Key

Data Locality

hybrid

Known Risks

!Exposure of API keys if not properly managed.
!Unintended execution of destructive tools.
!Vulnerability to command injection if input sanitization is insufficient.
!Potential for denial-of-service attacks if rate limiting is not configured correctly.

Safety Score

moderate risk

Positive

+Supports local LLMs (Ollama) for privacy-focused operation.
+Offers configurable access to cloud-based LLM providers.
+Includes middleware for tool execution (retry, circuit breaker, rate limiting).
+Provides options to disable filesystem access.

Risks

-Can execute tools with potentially destructive capabilities.
-Relies on user-provided API keys for cloud providers.
-Configuration errors could expose sensitive information.
-Tool execution is not fully sandboxed by default.

Use Cases

AI-Assisted Development

-Code generation and completion
-Automated testing and debugging
-Documentation generation

Content Creation

-Generating marketing copy
-Writing articles and blog posts
-Creating social media content

Data Analysis and Reporting

-Extracting insights from data
-Generating reports and visualizations
-Automating data analysis workflows

System Automation

-Automating repetitive tasks
-Managing system configurations
-Orchestrating complex workflows

Who Is This For?

Best For

Developers who want to integrate LLMs into their workflows.
Data scientists who need to automate data analysis tasks.
System administrators who want to automate system management tasks.
Content creators who want to generate content quickly and efficiently.

Not Ideal For

Scenarios requiring strict security and isolation.
Real-time applications with low-latency requirements.
Tasks involving highly sensitive data without proper encryption and access controls.

Autonomy & Execution

Default ModeConfigurable

Destructive ToolsDry Run

Autonomy depends on the configured tools and the LLM's reasoning capabilities. Exercise caution when granting the system access to destructive tools.

StatelessYes

Retry LogicBuilt-in

ConcurrencySupported

Production Tip

Implement robust input validation and output sanitization to prevent command injection and other security vulnerabilities.

FAQ

What is the default configuration of MCP CLI?

MCP CLI defaults to using Ollama with the `gpt-oss` reasoning model for local operation without requiring API keys.

How do I use a different LLM provider?

Use the `--provider` and `--model` command-line arguments to specify the desired provider and model.

How do I configure API keys for cloud providers?

Set the appropriate environment variables (e.g., `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`) with your API keys.

How do I disable filesystem access?

Use the `--disable-filesystem` command-line argument.

What are the different operational modes?

MCP CLI supports chat mode, interactive mode, command mode, and direct commands.

How do I execute tools concurrently?

MCP CLI supports concurrent tool execution, allowing multiple tools to run simultaneously.

How do I view the AI's reasoning process?

Use a reasoning model like `gpt-oss` to see the AI's thinking process.

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

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