Cursor
Unclaimed verified 26 aug 2026AI coding agent
TL;DR
Cursor (by Anysphere) is an AI-native integrated development environment built as a fork of VS Code, designed to accelerate coding workflows through intelligent autocomplete, codebase indexing, and autonomous agent tasks. It is built for individual developers and engineering teams seeking deep codebase understanding and automated multi-file editing. Its primary differentiator is its ground-up AI integration featuring semantic repository indexing, flexible model switching (Claude, GPT, Gemini), and agentic Composer workflows rather than basic plugin completions.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Cursor has established itself as the leading AI-first IDE by moving beyond bolt-on completion plugins toward full autonomous agent integration. Built as a fork of Visual Studio Code, it provides instant familiarity and zero migration friction for developers, preserving extensions, themes, and keybindings while introducing AI capabilities directly into the editor harness. The tool's biggest strength is context-aware multi-file editing and code comprehension. Features like Composer and Agent mode can index entire codebases, orchestrate complex multi-file refactors, execute terminal commands, and draft pull requests. Its native integration with Anthropic's Model Context Protocol (MCP) further broadens its power by connecting agents to custom databases, issue trackers, and external tools. However, users face real trade-offs regarding usage limits and release stability. Heavy autonomous agent workflows and automated reviews can rapidly drain monthly token quotas, leading to unexpected credit top-ups. Furthermore, developers must remain vigilant against subtle regressions and hallucinated changes when approving broad multi-file diffs. Cursor is best suited for full-stack developers, engineering teams, and technical founders who want to accelerate prototyping, boilerplate generation, and debugging without losing fine-grained IDE control.
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Continue
Open-source AI coding agent for VS Code, JetBrains, and more.
Pros
- + Native VS Code fork ensures seamless migration with existing extensions, shortcuts, and themes
- + Powerful multi-file editing (Composer/Agent) and semantic whole-codebase indexing
- + Flexible frontier model selection, including Claude 3.5/3.7, GPT-4o, Gemini, and custom API keys
- + Native Model Context Protocol (MCP) support for connecting external tools, databases, and APIs
Cons
- - Heavy token and fast-credit consumption during intensive Agent and multi-file workflows
- - Risk of silent code deletions or regressions if developers accept multi-file diffs without careful review
- - Occasional UI glitches and breaking changes during frequent update cycles
Agent Readiness
79/100Cursor demonstrates exceptional agent readiness as both an agent execution harness and an automatable development platform. It features official Background Agent REST APIs and CLI tooling to launch, inspect, and manage cloud agents against GitHub and GitLab repositories. Additionally, native Model Context Protocol (MCP) server support allows agents to interact dynamically with external systems, local tools, and databases within sandboxed terminal and cloud environments.
Last checked Aug 23, 2026
MCP Integrations
8 servers5 toolsAn MCP Server for computer-use in Windows OS
**Danelfin MCP server.** Bring AI Scores for US stocks, US ETFs and European stocks into Claude Code, Cursor or any MCP client. Built on top of the [Danelfin AI Score](https://danelfin.com), a daily 1 to 10 rating for each ticker, plus four sub-scores: Technical, Fundamental, Sentiment and Low Risk. **Tools available:** - `get_stock_score`: AI Score for a US or European stock (e.g. AAPL, ASML) - `get_etf_score`: AI Score for a US ETF (e.g. SPY, QQQ) - `get_top_ranked`: top-ranked stocks or ETFs by AI Score in a market - `screen_by_score`: multi-factor screener by AI Score and sub-score thresholds - `get_score_history`: historical daily AI Scores for a stock (useful for backtests) **Markets:** US stocks (S&P 500 + Nasdaq), US ETFs, European stocks (major European exchanges). **Free tier available.** Connect via OAuth and your AI assistant handles authentication on every call.
5 tools
get_stock_scoreGet the Danelfin AI score for a single US stock or European equity. Returns the overall AI Score (1–10) plus Technical, Fundamental, Sentiment, and Low Risk sub-scores for the most recent available trading day. Use this when the user asks about the AI rating or conviction level of a specific ticker (e.g. AAPL, MSFT, NVDA, ASML, SAP).get_etf_scoreGet the Danelfin AI score for a US ETF. Returns the composite AI score and sub-scores for the fund. Use this when the user asks about an ETF's AI-based quality or ranking (e.g. SPY, QQQ, IWM, XLK, ARKK).get_top_rankedReturn the top-N stocks or ETFs ranked by Danelfin AI Score in a given market. Results are pre-sorted highest AI score first (server-side). Use when the user asks to rank or list the best ideas by AI conviction. Examples: "top S&P 500 stocks by AI score", "best European stock ideas this week", "rank US ETFs by Danelfin score", "highest conviction US names right now".screen_by_scoreMulti-factor screener: filter stocks or ETFs by multiple Danelfin score thresholds simultaneously. All filters are applied server-side. Use when the user wants to find stocks matching combined criteria. Examples: "stocks with AI score ≥ 8 AND low risk ≥ 7", "momentum plays with strong fundamentals in European stocks", "defensive US names with high sentiment score".get_score_historyGet historical daily Danelfin AI scores for a stock over a date range. Returns a time series of scores useful for backtesting strategies and analysing score persistence or trend. Use when the user asks about score evolution over time or wants to build a strategy based on Danelfin signal history.
MCP server for browsing, searching, exporting, and backing up your Cursor AI chat history
Bridge AI coding hosts to cursor-agent over the Agent Client Protocol.
Needs a self-provisionable API key
Manage Proxmox VE via Cursor: QEMU, LXC, storage, HA, firewall, access.
Drive the Cursor agent from Telegram, Discord, or GitHub — with images and voice notes.
Needs a self-provisionable API key
Persistent AI memory for Cursor. Save and search memories via Zdravo.
Create, test and play AI-native games through server-authoritative contracts.
Last checked Aug 14, 2026
[ features ]
Geostrategic Position
Information on which part of the world this product / vendor belongs to, i.e. the country of their headquarters primarily, but also their hosting options etc.
Find which geostrategic world region the headquarter is located in. Relevant for compliance questions (e.g., CLOUD Act) or risk of cut-off in case of conflicts. For example, some EU companies are worried about the US and would definitely not host their customer with Chinese or Russian companies.
The hosting provider that is used to host this product, if any.
The available hosting locations, if you can choose
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
Security, Privacy & Support
Features ensuring data protection, quality assurance, and user assistance.
Compliance standards for data security.
Automatic deletion of user photos after processing.
Availability of real-time customer support.
Offers free remakes for unsatisfactory results.
Pricing & Free Tier
Free tier limits and overall pricing structure.
Maximum Monthly Active Users allowed on the free tier.
Key usage metrics that incur costs.
Autonomy & Workflow
Level of autonomous execution and human oversight mechanisms across the SDLC
Can complete multi-step engineering tasks with minimal human intervention
Provides explicit approval gates, oversight dashboards, and workflow governance
Supports running multiple agents simultaneously for concurrent tasks
Automatically learns and retains knowledge from existing codebases over time
SDLC Coverage
Which stages of the software delivery lifecycle the product can handle
Supports ingesting requirements from Jira, Figma, or natural language and generating plans
Generates or edits production code across multiple files
Creates tests, runs test suites, and performs visual or regression QA
Handles deployments, incident triage, runtime monitoring, and observability
Performs pull request reviews and generates documentation
Integrations & Ecosystem
Connections to developer tools, IDEs, and collaboration platforms
Supported code editors and development environments
Native integration with GitHub, GitLab, or other version control systems
Connections to issue tracking and project management tools
Integrations with communication and alerting platforms
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Reviews
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