Gemini Context
The Gemini Context MCP server provides AI assistants with enhanced context management capabilities when working with Google's Gemini models. It maintains conversation history across sessions, implements semantic search for retrieving relevant context, and offers API-level caching for large prompts to optimize token usage and reduce costs. The server exposes tools for generating text, managing conversation context, creating and using context caches with configurable TTL, and searching through previous interactions. Built with TypeScript and the MCP SDK, it supports multiple client environments including Cursor, Claude Desktop, and VS Code through a flexible installation system, making it particularly valuable for applications requiring persistent context and efficient handling of large language model interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Gemini Context 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.