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Gemini

This Gemini MCP server, developed by Ali Argun, enables Claude Desktop to interact with Google's Gemini AI models. It provides a full implementation of the Model Context Protocol, supporting real-time response streaming and secure API key handling. The server integrates with the @google/generative-ai library to offer a streamlined interface for leveraging Gemini's capabilities within Claude Desktop. By abstracting the complexities of the Gemini API, this implementation allows for easy configuration of model parameters and seamless integration with existing Claude Desktop workflows. It is particularly useful for users who want to access Gemini's advanced language models through a familiar interface, enabling applications like chatbots, content generation, and AI-assisted analysis within the Claude Desktop environment.

Cognium trust score

63%

Tier

Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · 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/aliargun/mcp-server-gemini
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Gemini 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"