Your AI development stack, curated

The best AI coding tools, MCP workflows, and Claude Code skills — organized for developers. From editor setup to production integrations.

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Tools, MCP servers, and skills that work together — from editor to production.

AI Coding Tools
8+ tools indexed
Editor extensions, code completion, pair programming tools. Cursor, Windsurf, Copilot, and more.
MCP Servers
6+ MCP servers indexed
Connect your AI to GitHub, databases, browsers, search, and production infrastructure.
Claude Code Skills
6+ skills indexed
Reusable workflow modules for debugging, refactoring, code review, and planning.

MCP Servers

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LanceDB MCP Server

LanceDB maintains a reference Model Context Protocol server in the lancedb/lancedb-mcp-server repository (linked from lancedb/lancedb issue #2341), implemented with FastMCP and LanceDB embeddings. Tools include `ingest_docs` (embed and store documents), `query_table` (semantic retrieval with configurable top_k and query_type), and `table_details` (schema and row counts) per the README. Configuration uses `uv run lancedb_mcp.py` with environment variables `LANCEDB_URI` (default `~/lancedb`), `TABLE_NAME`, `EMBEDDING_FUNCTION` (default sentence-transformers), and `MODEL_NAME` (default all-MiniLM-L6-v2). The repo describes itself as a basic serverless MCP reference for building more complex LanceDB agent apps—not a full production managed endpoint.

MotherDuck MCP Server

MotherDuck documents a remote Model Context Protocol server at motherduck.com/docs/sql-reference/mcp hosted at `https://api.motherduck.com/mcp` with OAuth (or Bearer token) and read-write SQL access to MotherDuck cloud databases. Tools include `list_databases`, `list_tables`, `list_columns`, `search_catalog`, `query`, `query_rw`, `ask_docs_question`, Dive tools (`list_dives`, `read_dive`, `view_dive`, `save_dive`, etc.), and Flight scheduling tools (`list_flights`, `create_flight`, `run_flight`, etc.) per MotherDuck MCP docs. For local DuckDB files or custom configs, MotherDuck points to the open-source `mcp-server-motherduck` package (`uvx mcp-server-motherduck --db-path md:`) on github.com/motherduckdb/mcp-server-motherduck.

Mem0 MCP Server

Mem0 documents an official cloud-hosted Model Context Protocol server at docs.mem0.ai/platform/mem0-mcp, exposed over Streamable HTTP at `https://mcp.mem0.ai/mcp` with no local install required. Setup uses `npx mcp-add --name mem0-mcp --type http --url https://mcp.mem0.ai/mcp` for Claude, Claude Code, Cursor, Windsurf, VS Code, and OpenCode per Mem0 docs. Tools include `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`, `list_events`, and `get_event_status`. Authentication uses a Mem0 Platform API key (`MEM0_API_KEY`); the legacy mem0ai/mem0-mcp GitHub repo is archived in favor of this hosted server.

Weaviate MCP Server

Weaviate documents a built-in Model Context Protocol server in the main `weaviate/weaviate` binary from v1.37.1 onward at docs.weaviate.io/weaviate/mcp/mcp-server, exposed as a Streamable HTTP endpoint at `/v1/mcp` on the same port as the REST API (default 8080). Enable with `MCP_SERVER_ENABLED=true`; optional `MCP_SERVER_WRITE_ACCESS_ENABLED=true` registers `weaviate-objects-upsert`. Tools include `weaviate-collections-get-config`, `weaviate-tenants-list`, `weaviate-query-hybrid`, and `weaviate-objects-upsert` (write-gated). Authentication uses existing API keys/Bearer tokens with RBAC permissions `read_mcp`, `create_mcp`, and `update_mcp` per Weaviate 1.37 release notes. The standalone weaviate/mcp-server-weaviate repository is deprecated in favor of this built-in server.

Chroma MCP Server

Chroma documents an official Model Context Protocol server in the chroma-core/chroma-mcp repository and docs.trychroma.com/integrations/frameworks/anthropic-mcp, started with `uvx chroma-mcp` over stdio. Tools include `chroma_list_collections`, `chroma_create_collection`, `chroma_peek_collection`, `chroma_modify_collection`, `chroma_delete_collection`, `chroma_add_documents`, `chroma_query_documents`, `chroma_get_documents`, `chroma_update_documents`, and `chroma_delete_documents` per the README. Client types documented: ephemeral (default), persistent (`--client-type persistent --data-dir`), HTTP self-hosted, and Chroma Cloud (`--client-type cloud` with API keys). Embedding function options include default, Cohere, OpenAI, Jina, VoyageAI, and Roboflow per Chroma MCP docs.

PlanetScale MCP Server

PlanetScale documents a hosted Model Context Protocol server at planetscale.com/docs/connect/mcp, reachable at `https://mcp.pscale.dev/mcp/planetscale` with OAuth authentication for organizations, databases, branches, schemas, and Insights data. An insights-only endpoint at `https://mcp.pscale.dev/mcp/planetscale-insights-only` omits read/write query tools. Tools documented include organization/database/branch listing, schema inspection, `planetscale_get_insights`, documentation search, and—when scopes allow—`planetscale_execute_read_query` and `planetscale_execute_write_query` with replica routing, ephemeral credentials, and destructive-query safeguards per the January 2026 changelog. PlanetScale notes the older local CLI MCP path is deprecated in favor of the hosted HTTP server for Cursor, Claude Code, and other MCP clients.

Claude Code Skills

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Anthropic Mythos export-control directive due diligence

Structures verification of frontier-model export-control headlines into a legal, security, and product-access checklist. The workflow separates Commerce Department directives from Anthropic compliance statements, maps Mythos versus Fable access changes, and tracks licensing language without inferring undisclosed national-security details. It references CNN reporting on June 13, 2026 that Anthropic disabled customer access to its most capable systems after the US government ordered it to suspend all use by foreign nationals of Mythos 5 and Fable 5 over national security concerns about cybersecurity vulnerabilities; CNN said Anthropic complied by removing access for everyone because it could not filter users by nationality in real time; the government did not provide specific national-security details though Anthropic believed officials became aware of a Fable 5 jailbreak demonstrating relatively minor, previously known vulnerabilities other public models can also find; Anthropic disputed that a narrow jailbreak should recall a commercial model deployed to hundreds of millions and argued applying the standard industry-wide would halt frontier deployments; CNN cited Axios that Commerce would require licenses for export, re-export, or domestic transfer; the piece notes Mythos capabilities spooked government and Wall Street, Fable 5 shipped last week as a safer public version, a recent executive order asks companies to share advanced cyber-capable models with government up to 30 days before other partners, and earlier supply-chain-risk designation and lawsuit context with continued White House contact.

Frontier model token price-war due diligence

Structures verification of frontier-LLM pricing headlines into a finance and procurement checklist. The workflow separates reported price-cut discussions from confirmed public rate cards, maps token-billing impacts to gross-margin assumptions, and tracks IPO-timing context without treating leaks as finalized pricing. It references The Wall Street Journal reporting on June 11, 2026 that OpenAI is considering drastically lowering prices charged for tokens—the unit AI firms use to bill products—in anticipation of similar cuts the company expects at Anthropic, according to people familiar with the matter; WSJ notes discussions are still in flux; both companies' business models are under scrutiny ahead of hotly anticipated IPOs; OpenAI confidentially filed for an IPO earlier that week following Anthropic's filing, and CEO Sam Altman told employees in a recent Slack message the company plans to go public within the next year (as earlier reported by the Information). WSJ framed the move as OpenAI seeking to win customers from rival Anthropic amid an expected token-pricing competition.

EU AI Act Article 50 content labelling due diligence

Structures verification of EU generative-AI transparency headlines into a compliance readiness checklist for providers and deployers. The workflow separates voluntary Code of Practice signing from mandatory Article 50 obligations, maps provider versus deployer labelling duties, and tracks pending Commission guidelines. It references AI News reporting on June 16, 2026 that the European Commission released a final voluntary Code of Practice on 10 June ahead of Article 50 transparency rules applying from August 2, 2026; the Code is optional but the obligations are not; from August, deepfakes and AI-generated or AI-manipulated text on matters of public interest must carry labels, and interactive AI systems such as customer-service bots must disclose machine interaction; Executive Vice-President Henna Virkkunen is quoted that Europeans have a right to know whether content was made or altered by AI; providers should mark output in machine-readable format while deployers handle visible labelling when public-interest text goes out without human review; the Code uses open technical standards and a common EU icon; it was drawn up by six independent experts with input from more than 180 stakeholders and still awaits Commission and AI Board adequacy judgment plus separate guidelines for gaps AI News says remain unpublished with under two months before enforcement.

AI chipmaker debt capital raise due diligence

Structures verification of AI-infrastructure debt headlines into a treasury and investor-relations checklist. The workflow separates SEC filing facts from unnamed source sizing, compares new issuance to existing debt stacks and prior raises, and maps proceeds language to refinancing versus buyback narratives. It references CNBC reporting on June 15, 2026 that Nvidia disclosed plans in an SEC filing for its first investment-grade corporate bond sale since 2021, with sources telling CNBC the chipmaker is aiming to raise at least $20 billion (possibly closer to $25 billion) in its first bond sale since the AI boom began; CNBC notes Nvidia shares rose 3.5% Monday and are up about 14% year-to-date; the piece situates Nvidia alongside Alphabet ($85 billion equity-related plans plus $55 billion+ debt since November), Super Micro ($7 billion equity-related financing), and Amazon (~$54 billion U.S./European debt plus ~$10 billion Canadian sale plans); CNBC cites Nvidia's ~$7.5 billion long-term and ~$1 billion short-term debt, its $5 billion 2021 raise with notes maturing as late as 2031, revenue growth from ~$27 billion in fiscal 2022 to $216 billion in fiscal 2026, ChatGPT's late-2022 catalyst for GPU demand, a spokesperson saying proceeds are for general corporate purposes including repayment/refinancing of existing debt, and May dividend/buyback moves ($0.25 dividend, $80 billion repurchase plan, ~50% of free cash flow return target, $49 billion quarterly free cash flow).

AI labor market JOLTS claims due diligence

Structures verification of AI-and-jobs labor headlines into a workforce planning checklist. The workflow separates one-month JOLTS spikes from hiring/quit trends, industry composition, and economist quotes about AI displacement narratives. It references CNN reporting on June 2, 2026 that US job openings rose to 7.62 million in April—the highest since mid-2024—from 6.89 million in March; hiring and layoffs both fell after March spikes; voluntary quits hit their lowest level in nearly six years; more than 90% of April's opening increase was in professional and business services; for the first time since June 2025 there were more openings than job seekers; American Staffing Association chief economist Noah Yosif told CNN April data could push back on the narrative that artificial intelligence will be the "great job-killer" while responsibilities shift as technologies permeate the labor market; CNN also notes monthly volatility, revision risk, Iran-war oil uncertainty, and Heather Long/Navy Federal and Bill Adams/Fifth Third caution against overweighting a single report—without treating one JOLTS print as proof AI is boosting junior hiring.

Regional AI assistant rollout due diligence

Structures verification of platform-assistant launch headlines into a product, legal, and compliance checklist. The workflow separates announced capabilities from regional availability gaps, third-party model dependencies, and regulator disputes cited in trade press. It references Yahoo Tech reporting around WWDC on June 8, 2026 that Apple will roll out a Siri AI beta later in 2026 based on Google's Gemini models with conversational, cross-app integration across iPhone, iPad, Mac, Watch, Vision Pro, CarPlay, and AirPods; Yahoo Tech notes Siri AI will not ship on iPhone, iPad, or Apple Watch in the European Union because of the Digital Markets Act, though macOS 27 and visionOS 27 users in the EU can access it, and EU watchOS 27 users will lack Siri AI because it requires a paired iPhone with Siri AI; Craig Federighi is quoted saying regulators' "refusal to engage constructively" leaves no timeline for iOS/iPadOS EU availability; Apple also says regulatory issues in China must be resolved first; supported devices include iPhone 17/16 series and iPhone 15 Pro models, iPad with M4+, and Macs with M3+ per the piece—without assuming global feature parity in roadmaps or contracts.

AI News

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