kc-connect-mcp

Configure the KnowzCode MCP server for Gemini CLI with API key discovery.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/knowz-io/knowzcode --skill kc-connect-mcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kc-connect-mcp
Source: https://github.com/knowz-io/knowzcode/tree/main/.gemini/skills/kc-connect-mcp
Command: npx skills add https://github.com/knowz-io/knowzcode --skill kc-connect-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of configuring the KnowzCode MCP server, enabling advanced vector-based code search and context retrieval within your Gemini CLI environment.

Core Features & Use Cases

  • Seamless MCP Server Configuration: Sets up the KnowzCode MCP server for Gemini CLI with minimal user input.
  • API Key Management: Handles API key discovery (environment variables, config files) and secure configuration.
  • Smart Configuration Discovery: Automatically finds existing API keys and endpoint configurations from various sources.
  • Vault Integration: Configures and links knowledge vaults for enhanced context retrieval.
  • Use Case: When starting a new project or setting up Gemini CLI for the first time, use this Skill to quickly establish a connection to the KnowzCode MCP server, ensuring your AI assistant has access to powerful code search capabilities.

Quick Start

Configure the KnowzCode MCP server for Gemini CLI using your API key.

Frequently Asked Questions about kc-connect-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure an MCP server for Gemini CLI?

This Skill configures the KnowzCode MCP server for Gemini CLI by automating API key discovery from environment variables and config files, then establishing the connection for vector-based code search and context retrieval.

How does API key discovery work when setting up KnowzCode vaults?

API key discovery for KnowzCode vaults works by automatically scanning environment variables, project config files, vault configs, and cross-platform sources to locate existing credentials and endpoint configurations without manual entry.

Can I use project-level and user-level configurations for vector search?

Yes, you can use both project-level and user-level configurations for vector search; this Skill supports configuring the KnowzCode MCP server connection at either scope to match your specific Gemini CLI environment requirements.

What's the best way to verify a vault connection in Gemini CLI?

The best way to verify a vault connection in Gemini CLI is by listing available vaults; this Skill automatically verifies the established MCP server connection by retrieving and displaying the vault listing after configuration.

Do I need an existing API key to enable context retrieval in Gemini CLI?

You do not need to manually provide an existing API key to enable context retrieval; the Skill automatically discovers API keys from environment variables, project config files, and cross-platform sources to establish the MCP connection.