Gemini Pro
This TypeScript-based MCP server, developed by GeorgeJeffers, integrates Google's Gemini Pro model with the Model Context Protocol. Built using the @modelcontextprotocol/sdk and @google/generative-ai libraries, it provides a standardized interface for leveraging Gemini's text generation capabilities. The implementation focuses on simplicity and ease of integration, offering straightforward setup via Claude Desktop. It's particularly useful for developers looking to incorporate Gemini's AI capabilities into MCP-compatible applications, enabling use cases such as content generation, language translation, and conversational AI without directly dealing with the complexities of the Gemini API.
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/georgejeffers/gemini-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Gemini 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--scope user for --scope project to commit it to .mcp.json.