pulsemcp verified Safe content atomic mcp-remote

Gemini 2.5 Pro

Gemini MCP Server enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model through a TypeScript implementation of the Model Context Protocol. The server provides two main tools: generateWithGemini for content generation with customizable parameters like temperature and token limits, and getModelInfo for retrieving model capabilities. It features Google Search integration for grounding responses in factual information, secure API key handling through environment variables, detailed token usage reporting, and comprehensive error handling with response caching to local files for verification. Ideal for users wanting to leverage Gemini's capabilities within Claude's interface.

Cognium trust score

98%

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: data-analytics
Source: PulseMCP
Repository: github.com/dakrin/mcp-gemini-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Gemini 2.5 Pro 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"