GemForge (Google Gemini)
GemForge-MCP provides a specialized server that connects AI assistants to Google's Gemini models through optimized tools for search, reasoning, code analysis, and file operations. Built by PV-Bhat, it implements intelligent model selection based on task requirements, handles various file types including code repositories, and manages API rate limits with automatic fallbacks. The server uses TypeScript with a modular architecture that separates concerns into utility modules for request building, response formatting, and error handling. It's particularly valuable for developers who need to leverage Gemini's capabilities for complex reasoning, up-to-date information retrieval, and multimodal content processing without managing the complexities of the Gemini API directly.
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
- productivity
- Source
- PulseMCP
- Repository
- github.com/pv-bhat/gemforge-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve GemForge (Google 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.