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

Intelligent AI routing and integration platform for seamless provider switching

MCP server for YouGPU REST API that enables GPU catalog browsing, instance lifecycle management (create, stop, start, delete), and balance checking.

Enables secure execution of JavaScript and Python code in cloud-based E2B sandboxes with integrated file management capabilities, allowing Claude to run and test code safely in isolated environments.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables managing Databricks directly from Cursor IDE with 30 tools for notebooks, clusters, jobs, DBFS, SQL, and workspace operations.

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 interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Controls TAPO L530E smart light bulbs via MCP, supporting on/off, brightness, and color temperature, with local and remote AWS deployment.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

A PROXMOX implementation containing 152 tools covering QEMU VMs, LXC, unified guest power, storage admin, cluster/tasks, snapshots, backups (incl. scheduled jobs), migration, HA, firewall (incl. IPSet CIDRs), access control, replication, SDN (read), ACME (read), pools, and console tickets.

A remote MCP server that lets a coding agent turn a plain-language idea into a real, shareable product — creating the project and data model, serving live API endpoints, deploying custom endpoints and server-side functions, and reading request and function logs. It handles sign-up, OAuth-backed access, and OpenAPI spec generation so people can open, sign into, and use the app the agent builds.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.

Enables users to query and analyze cloud spending, EC2 cost breakdowns, service-level spend, and model usage logs through natural-language interactions. It also supports cross-account spend retrieval when configured.