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Gemini CLI

This MCP server provides integration with the Gemini CLI tool, enabling AI assistants to interact with Google's Gemini models through command-line interface calls. It exposes three core tools: gemini_chat for conversational interactions, gemini_generate for content generation with configurable temperature settings, and gemini_list_models for discovering available models. The implementation uses Node.js child processes to execute Gemini CLI commands and assumes the CLI tool is installed and configured in the system PATH, making it useful for AI assistants that need to leverage Gemini's capabilities while working within existing CLI-based workflows.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/blesscat/gemini-cli-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Gemini CLI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"