Google AI Studio
This MCP server provides Google AI Studio/Gemini API integration with comprehensive file processing capabilities, supporting images, videos, audio, PDFs, and text files for content generation and analysis. Built by eternnoir using TypeScript with the Google GenAI SDK, it offers a single generate_content tool that handles multimodal inputs with configurable parameters for model selection, system prompts, and file limits (up to 10 files per request, 50MB total). The implementation features automatic MIME type detection, base64 file encoding, robust error handling with individual file failure reporting, and support for common use cases like PDF-to-Markdown conversion, image analysis, and audio transcription, making it valuable for document processing workflows, multimodal content analysis, and building AI assistants that need to work with diverse file types through Gemini's advanced capabilities.
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
- media
- Source
- PulseMCP
- Repository
- github.com/eternnoir/aistudio-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Google AI Studio 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.