pulsemcp scanned Safe content atomic mcp-remote

Gemini

MCP server implementation by Philipp Schmid that provides AI assistants with access to Google's Gemini API for intelligent web search and content generation capabilities. The server offers two core tools: web_search for performing Google searches through Gemini with synthesized results and optional citations, and use_gemini for delegating tasks to Gemini 2.5 models (Pro or Flash) for complex reasoning and content generation. Built with FastAPI and supporting both stdio and streamable-http transports, it includes bearer token authentication for HTTP mode and can be deployed to Google Cloud Run as a remote server, making it valuable for AI applications requiring real-time web intelligence, content synthesis with source attribution, and access to Gemini's advanced reasoning capabilities.

Cognium trust score

64%

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: devops-ci
Source: PulseMCP
Repository: github.com/philschmid/gemini-mcp-server
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"