Build your AI stack
Tools, MCP servers, and skills that work together — from editor to production.
AI Coding Tools
View all →ChatGPT
ChatGPT is a large language model-based chatbot developed by OpenAI, launched in November 2022. It uses the GPT-4 architecture to generate human-like text responses across conversation formats. The model supports multi-modal inputs including text, images, and voice interactions. A free tier is available with GPT-3.5, while ChatGPT Plus provides access to GPT-4 with faster response times and plugin capabilities. It serves as a versatile tool for writing, analysis, coding assistance, and creative tasks.
Gemini
Gemini is Google's family of multimodal AI models designed to compete with OpenAI's GPT series. Formerly known as Bard, it rebranded to Gemini in 2024 and directly integrates with Google services. The Ultra 1.0 model achieved state-of-the-art performance on multiple benchmarks. Gemini is available through the Google AI app, web interface, and integrates with Gmail, Docs, and other Google Workspace applications.
Claude
Claude is Anthropic's AI assistant based on the Constitutional AI and RLHF-aligned methodology. Launched in 2023, Claude emphasizes helpful, harmless, and honest interactions. It supports extremely long context windows of up to 200K tokens, making it effective for analyzing lengthy documents. Claude 3.5 Sonnet represents the mid-tier model with strong coding and reasoning capabilities. The iOS app and web interface provide easy access across devices.
DeepSeek
DeepSeek is a Chinese AI company that gained prominence in 2025 with its DeepSeek-V3 model, achieving performance comparable to leading US models at significantly lower training costs. The company released DeepSeek-R1 in January 2025, an open-source reasoning model that competes with OpenAI's o1. DeepSeek's models are available through their web interface, API, and have been integrated into various applications. Their open-source approach has democratized access to frontier-level AI capabilities.
Cursor
Cursor is an AI-first code editor built on VS Code, launched in 2023 by Anysphere. It integrates AI capabilities directly into the coding workflow with features like code completion, natural language commands, and pair programming. Cursor 0.5 introduced Agent capabilities that can autonomously modify codebases. The editor supports Python, JavaScript, TypeScript, Go, Rust, and other major languages. It offers a free tier with 1000 code completions and paid plans for extended usage.
GitHub Copilot
GitHub Copilot is Microsoft's AI coding assistant integrated directly into IDEs like VS Code, JetBrains, and Vim. Powered by OpenAI's GPT-4 and specialized code models, it provides real-time code suggestions, entire function implementations, and documentation generation. Copilot Chat enables conversational debugging and code explanation. Launched in 2021 as a technical preview, it became generally available in 2022. Business plans offer team management, policy controls, and SAML SSO integration.
Windsurf
Windsurf is an AI-powered code editor by Codeium, launched in 2024. Its signature feature is Cascade, a chat interface that maintains project context across editing sessions. Windsurf distinguishes itself with SUPERCLINE, a context engine that tracks cursor position and project state for highly relevant suggestions. The editor is built on the same foundation as Codeium's enterprise tooling, emphasizing speed and privacy. A free tier exists alongside Pro and Enterprise plans.
Midjourney
Midjourney is an independent AI image generation lab that operates primarily through a Discord bot. Launched in 2022, it produces highly artistic and stylized images from text prompts. Users interact via Discord commands, with generation happening on Midjourney's servers. Version 6 (V6) released in late 2024 offers improved coherence, text rendering in images, and photorealism capabilities. The platform has developed a distinctive aesthetic that has influenced digital art and design communities.
MCP Servers
More →Turso MCP Server
Turso documents a built-in Model Context Protocol server in the Turso CLI (`tursodb`) at docs.turso.tech/cli/mcp-server, started with `tursodb /path/to/database.db --mcp` over stdio JSON-RPC. Tools include `open_database`, `current_database`, `list_tables`, `describe_table`, `execute_query` (SELECT-only), `insert_data`, `update_data`, `delete_data`, and `schema_change` (CREATE/ALTER/DROP) per the Mintlify MCP reference. Turso's launch blog at turso.tech/blog/introducing-the-turso-database-mcp-server shows Claude Desktop and Claude Code configuration via `claude mcp add` with the same `--mcp` flag—no separate npm package required for local embedded databases.
Upstash MCP Server
Upstash documents an official Model Context Protocol server at upstash.com/docs/agent-resources/mcp implemented in the `upstash/mcp-server` repository and npm package `@upstash/mcp-server`. Started with `npx -y @upstash/mcp-server@latest --email YOUR_EMAIL --api-key YOUR_API_KEY`, it exposes tools for serverless Redis, QStash, Workflow runs, and Upstash Box so agents can manage and debug account resources from Cursor, Claude Code, VS Code, Codex, and other MCP clients. Read-only API keys automatically disable mutating tools per docs; optional `--transport http`, `--disable-telemetry`, and Upstash Box API key flags are documented for advanced setups.
Convex MCP Server
Convex documents a Model Context Protocol server shipped in the Convex CLI at docs.convex.dev/ai/convex-mcp-server, started locally with `npx -y convex@latest mcp start` over stdio after linking a project via `npx convex dev`. Tools include `status` (deployment selector), `tables` (declared and inferred schemas), `data` (paginated documents), `runOneoffQuery` (sandboxed read-only JS), `functionSpec`, `run` (invoke deployed functions), `logs`, `insights` (72-hour OCC and resource-limit health), and `envList`/`envGet`/`envSet`/`envRemove`. Flags such as `--prod`, `--preview-name`, `--deployment-name`, and `--disable-tools` restrict scope; production writes require `--dangerously-enable-production-deployments` per changelog defaults.
PostHog MCP Server
PostHog documents a free hosted Model Context Protocol endpoint at `https://mcp.posthog.com/mcp` per posthog.com/docs/model-context-protocol that lets MCP clients query analytics, manage feature flags, investigate errors, run HogQL, triage support workflows, and configure CDP destinations from natural-language prompts. The PostHog Wizard installs the server into Cursor, Claude Code, Claude Desktop, Codex, VS Code, Windsurf, and Zed via `npx @posthog/wizard@latest mcp add`. Authentication routes to the correct US or EU data region; manual setups can pass a personal API key with the MCP Server preset through `mcp-remote` and an `Authorization` Bearer header. Source lives in the PostHog monorepo at `services/mcp` (the standalone PostHog/mcp repository redirects there).
Weights & Biases MCP Server
Weights & Biases documents a hosted Model Context Protocol server at `https://mcp.withwandb.com/mcp` (recommended) and an open-source `wandb/wandb-mcp-server` package for local stdio or HTTP per docs.wandb.ai/platform/mcp-server. Authenticated clients pass a W&B API key in the `Authorization: Bearer` header. Documented tools include `query_wandb_tool` and `get_run_history_tool` for experiment metrics, `query_weave_traces_tool` and `count_weave_traces_tool` for LLM traces, `create_wandb_report_tool` for markdown reports, `search_wandb_docs_tool` for docs.wandb.ai, and `query_wandb_entity_projects` for project listings. Dedicated/on-prem deployments can set `WANDB_BASE_URL` with the local server per README.
Elastic Agent Builder MCP Server
Elastic documents the recommended Agent Builder Model Context Protocol endpoint at `{KIBANA_URL}/api/agent_builder/mcp` (or `{KIBANA_URL}/s/{SPACE_NAME}/api/agent_builder/mcp` for custom Kibana spaces) per elastic.co/docs/explore-analyze/ai-features/agent-builder/mcp-server. The MCP server exposes built-in and custom Agent Builder tools to Claude Desktop, Cursor, VS Code, and other MCP clients via `npx mcp-remote` with an `Authorization: ApiKey` header. API keys must include the Kibana application privilege `feature_agentBuilder.read` or clients receive HTTP 403. Elastic notes the legacy `elastic/mcp-server-elasticsearch` project is deprecated in favor of this endpoint on Elastic 9.2+ and Elasticsearch Serverless; docs recommend least-privilege index scopes and API key expiration.
Claude Code Skills
More →Mythos-class frontier model access due diligence
Structures verification of Mythos-class model launch headlines into a security and procurement checklist. The workflow separates publicly available Claude Fable 5 safeguards from restricted Claude Mythos 5 trusted-access tiers, pricing, data-retention policy changes, and marketing rhetoric about capability. It references BBC reporting on June 10, 2026 that Anthropic released Claude Fable 5—a public version of Claude Mythos previewed privately in April—quoting Anthropic: "Fable's capabilities exceed those of any model we've ever made generally available" and "releasing a model this capable comes with risks"; BBC said roughly 150 preview groups gain Claude Mythos 5 with fewer cybersecurity/biology limits for approved uses, preview users reported finding more than 10,000 critical security flaws, Anthropic intends a broader trusted access program, co-founder Jack Clark told BBC Newsnight the industry has "a gas pedal, but it doesn't have a brake pedal", and private valuation neared $1tn amid expected IPO—without treating media hype as signed enterprise contracts.
Frontier AI lab IPO filing claims due diligence
Structures verification of frontier-model lab IPO headlines into a finance and governance checklist. The workflow separates confidential S-1 filing facts from valuation rhetoric, tender-offer liquidity plans, and competitive IPO timing in the same news cycle. It references CNBC reporting on June 8–9, 2026 that OpenAI confidentially filed for an IPO with the SEC, publicly posted: "We recently submitted a confidential S-1… We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company"; CNBC said OpenAI is valued at more than $850 billion, has been gearing up to go public as soon as Q4 2026, is working with Goldman Sachs and Morgan Stanley, plans a tender offer letting employees sell at the latest $852 billion post-money valuation, cites ChatGPT supporting more than 900 million weekly active users, raised more than $180 billion in funding while still burning cash for compute, and filed a week after Anthropic's confidential IPO filing at a $965 billion valuation—without treating media valuations as your investment thesis.
Third-party GPU compute lease claims due diligence
Structures verification of hyperscaler and neocloud GPU lease headlines into a capacity-planning checklist. The workflow separates announced monthly fees and GPU counts from delivery SLAs, termination clauses, and bridge-vs-strategic capacity framing in the same article. It references CNBC reporting on June 5, 2026 that SpaceX will receive $920 million per month from Google from October 2026 through June 2029 for about 110,000 Nvidia GPUs plus CPUs and memory in SpaceX data centers, with capacity ramping through September at a reduced fee; Google may end the deal if committed GPUs are not delivered by September 30, 2026; either party may terminate with 90 days' notice after December 31, 2026; a Google Cloud spokesperson cited bridge capacity for surging Gemini Enterprise demand; the deal follows SpaceX's February xAI merger valued at $1.25 trillion and Anthropic's May Colossus 1 arrangement; CNBC noted SpaceX Q1 capex $10.1 billion ($7.7 billion to AI) and AI segment operating loss $2.5 billion on $818 million revenue—without treating SEC filing figures as your signed contract terms.
Corporate AI token spend claims due diligence
Turns headlines about corporate AI token budgets into a finance and procurement checklist. The workflow separates fundraising valuation narratives from operational metrics CFOs can verify: provider-level token bills, model-mix efficiency, team attribution, and whether frontier models are used for low-value tasks. It references CNBC reporting on June 4, 2026 that Ramp raised $750 million at a $44 billion valuation led by ICONIQ, GIC, and Ontario Teachers' Pension Plan (~38% step-up), crossed $1 billion in annualized revenue with positive free cash flow per CEO Eric Glyman, serves 70,000 businesses, and is growing partly because clients need to rein in AI spending; Glyman said tokens are a new third pillar of spend, most CFOs did not plan for steep growth, Ramp customers spending the most revenue share on AI grew revenue 12% versus flat for the lowest spenders, and Glyman called the era of tokenmaxxing nearing its end—without treating media quotes as internal budget approvals.
Custom AI semiconductor earnings claims due diligence
Structures verification of custom-AI chip vendor earnings headlines into a finance and supply-chain checklist. The workflow separates consolidated revenue and EPS beats from AI semiconductor sub-segment growth, full-year AI revenue guidance (raised vs reiterated), and infrastructure software shortfalls cited in the same report. It references CNBC reporting on June 3, 2026 that Broadcom's fiscal Q2 revenue was $22.19 billion versus $22.27 billion estimated (48% YoY), adjusted EPS $2.44 vs $2.40, AI semiconductor revenue $10.8 billion (more than doubled YoY), Q3 revenue guidance about $29.4 billion vs $28.53 billion expected, infrastructure software revenue $7.18 billion vs $7.32 billion expected, CEO Hock Tan reiterating AI semiconductor revenue in excess of $100 billion in fiscal 2027 without raising the 2026 forecast, naming six core custom-chip customers including Anthropic, Google, Meta, and OpenAI, and saying Broadcom would offer chips only rather than complete integrated AI systems—without treating media figures as procurement commitments.
Agentic AI orchestration efficiency claims due diligence
Turns CEO and vendor narratives about agentic AI efficiency into a procurement and strategy checklist. The workflow separates quoted efficiency metrics (for example token- or energy-per-user framing) from product launch facts, orchestration architecture claims, and third-party valuation context in the same article. It references CNBC reporting on June 3, 2026 that Perplexity CEO Aravind Srinivas told CNBC's Elaine Yu the long-term AI winner will maximize what he called the "most taken value per watt per user" by balancing accuracy, latency, cost, privacy, and intelligence; that Perplexity is emphasizing agentic orchestration with Perplexity Computer (announced February) and Personal Computer on Windows (announced the prior Tuesday, with Mac already available); that Srinivas said Personal Computer routes processing between device and cloud; that Perplexity was last reportedly valued at $20 billion versus Anthropic near $1 trillion and OpenAI just over $850 billion with Anthropic confidentially filing for a U.S. IPO that week; and that Srinivas cited tripled annualized revenue since the start of the year tied to integrated Anthropic model improvements—without treating media valuations or CEO efficiency slogans as internal benchmarks.