"MCP servers for curated context in Cursor IDE to plan, debug, and iterate on features" matching MCP servers:

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

Enables AI assistants to manage Plan to Eat recipes, meal plans, and shopping lists through natural language, with full CRUD operations.

Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.

A Model Context Protocol server for Cursor that manages and executes task plans with SQLite3-based CRUD operations, status tracking, and workflow tools.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

MCP server providing filesystem allowlist and pack-aware Qdrant RAG search. Enables reading files, listing directories, and performing filtered RAG searches with case and pack IDs.

A workshop repository teaching advanced Model Context Protocol features for building AI-connected apps with deeper integration capabilities.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.

MCP servers for quantitative trading: live trading signals, market data, NAV history, portfolio management with dual-track (AUTO/MANUAL) performance comparison. Supports both stdio and Streamable HTTP transport.

Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.

A template for creating custom tools for Cursor IDE using Model Context Protocol that allows users to deploy their own MCP server to Heroku and connect it to Cursor IDE.

A template for creating and connecting custom tools to Cursor IDE using Model Context Protocol with support for cheerful server responses.

A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.

A template for creating custom tools for Cursor IDE using Model Context Protocol (MCP), allowing developers to extend Cursor's functionality with their own server-based tools.

Provides MCP tools and hooks for agent coordination within Cursor workspaces, enabling claim-based scope management, compliance auditing, and production readiness checks.

An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP server that provides semantic vector search, graph-based knowledge storage, and real-time analytics.

An MCP server that uses Google Gemini AI to analyze requirements, create project plans, review code quality, and provide execution analysis feedback for software development projects.