Gemini
MCP Gemini Server provides a Flask-based implementation that enables AI assistants to interact with Google's Gemini API through a standardized protocol. It supports three key operations: text generation, text analysis (with sentiment, summary, and keyword extraction capabilities), and chat conversations. The server handles client-server communication through a RESTful API, processes requests with appropriate error handling, and securely manages API keys through environment variables. Particularly useful for developers looking to extend AI assistant capabilities with Google's generative models without direct API integration.
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
- api-integration
- Source
- PulseMCP
- Repository
- github.com/amitsh06/mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via 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--scope user for --scope project to commit it to .mcp.json.