cursor-eff
AI & Memory
Local
A local MCP server that improves token efficiency for Cursor's agent by providing cheaper tools like search_code, outline_file, read_snippet, project_map, and handoff, along with rules that steer the agent to use them and reduce excessive context usage.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/stnjvbz1pw for deploy options, or install from https://github.com/aclermont318-sys/cursor-eff (see README for MCP config).
2
GitHub
Install from https://github.com/aclermont318-sys/cursor-eff and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.