"Improving Cursor Efficiency and Smart Features" matching MCP servers:

Enables MCP clients to invoke Cursor SDK's agent runtime, run coding agents, list models, and continue conversations.

Enables any MCP-compatible AI tool to read and leverage Cursor's context files (rules, agents, and skills) with their activation logic, allowing teams to maintain a single source of context across different AI coding assistants.

AI-powered video clipping server that analyzes subtitles and audio to detect highlight moments, then generates platform-adapted short clips from long videos.

MCP server exposing Cursor's HTTP APIs for managing Cloud Agents, Team/Org Admin, Analytics, Bugbot, AI Code Tracking, and Fleet with read-only and read-write modes.

Enables MCP clients to delegate bounded tasks to an explicitly selected Cursor model with durable, restart-safe run state, idempotent runs, and fail-closed security defaults.

Enables AI assistants to search codebases by meaning using local AI embeddings, manage indexing and caching, switch workspaces, check server status, and look up latest package versions across multiple ecosystems.

MCP bridge from OpenCode to Cursor agent CLI, enabling code review, debugging, and planning via Cursor cloud.

Enables AI assistants to search a codebase by meaning rather than exact keywords by indexing files with local AI embeddings, alongside package-version lookup and index management tools. It supports incremental, resource-throttled indexing across multiple workspaces and IDE integrations.

Enables AI assistants to perform intelligent semantic code search across a codebase using local AI embeddings, with tools for reindexing, cache management, workspace switching, package version lookup, and status checks.

Enables AI assistants to search code by meaning using local AI embeddings, and provides package version lookup, reindexing, cache management, workspace switching, and server status tools.

Enables AI coding assistants to find relevant code by meaning through local AI embeddings and an indexed codebase, so searches work even when terminology differs. It also supports package-version lookup, reindexing, cache management, workspace switching, and server status checks.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, with tools for indexing, cache and workspace management, status checks, and latest package-version lookup.

Enables AI assistants to search codebases by meaning using local AI embeddings, and also provides package version lookup, indexing, cache management, workspace switching, and server status tools.

Enables AI assistants to search codebases by meaning rather than keywords, using locally generated AI embeddings to surface relevant code even when terminology differs. It also provides package version lookups across 20+ ecosystems, plus tools for reindexing, cache clearing, workspace switching, and server status checks.

Enables AI assistants to perform semantic code search across a local codebase by meaning rather than exact keywords, using local AI embeddings with flexible dimensions. It also provides indexing, cache management, workspace switching, package version lookup, and server status tools.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, so they can find relevant code even when terminology differs, while also offering package version lookup, indexing, cache, workspace, and status tools.

MCP server enabling Cursor to delegate complex coding tasks to ChatGPT Web (GPT-5.6 Sol High) via Temporary Chats, supporting parallel batch reviews and up to five concurrent sessions.

Connects Claude Desktop to a Google Colab runtime via ngrok for remote Python execution, enabling GPU/CPU code execution with smart timeouts and file management.

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

Enables AI assistants to securely interact with FHIR R4 servers for clinical decision support workflows, including PlanDefinition execution, FHIR resource management, terminology services, and Questionnaire/StructureMap transformation via Matchbox.