Gemini with Web Search
MCP-Gemini provides a server implementation that integrates Google's Gemini AI model with additional context-enhancing capabilities through Google Search and YouTube APIs. Built with TypeScript and Fastify, this server exposes endpoints for text generation, chat functionality, and content analysis with external data enrichment. The implementation uses environment variables for configuration and API key management, while leveraging the Model Context Protocol SDK to standardize interactions between AI assistants and the Gemini model. Particularly useful for applications requiring AI responses augmented with real-time web search results or video content analysis.
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
- social-media
- Source
- PulseMCP
- Repository
- github.com/techkwon/mcp-gemini
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Gemini with Web Search 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 --scope user for --scope project to commit it to .mcp.json.