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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Meilisearch MCP Server

Meilisearch maintains an official Model Context Protocol server in meilisearch/meilisearch-mcp, documented at meilisearch.com/blog/introducing-mcp-server. The Python stdio server connects MCP clients to any running Meilisearch instance via `MEILI_HTTP_ADDR` and optional `MEILI_MASTER_KEY`, with `update-connection-settings` to switch hosts mid-session. Tools cover index management, document ingestion, search (filters, sorting, facets, semantic/hybrid), settings, API keys, tasks, and health checks per the README. Install paths include `uvx meilisearch-mcp`, pip, source, and Docker (`getmeili/meilisearch-mcp`). Meilisearch notes the server is development-oriented and that native Meilisearch MCP transport support is coming.

Vertex AI Platform MCP Server

Google Cloud documents remote Agent Platform (Vertex AI) Model Context Protocol servers at docs.cloud.google.com/gemini-enterprise-agent-platform/reference/mcp and docs.cloud.google.com/mcp/supported-products. The managed HTTP endpoints include `https://aiplatform.googleapis.com/mcp` plus toolset-specific paths such as `/mcp/generate`, `/mcp/predict`, `/mcp/notebook`, `/mcp/endpoints`, `/mcp/models`, `/mcp/tuning`, `/mcp/evaluation`, and `/mcp/prompts`. Documented toolsets cover generative AI, prediction, Colab Enterprise notebooks, endpoint management, model registry, finetuning, quality evaluation, and prompt management. Authentication uses OAuth 2.0 with IAM per Google Cloud MCP overview; API keys are not accepted on remote Google Cloud MCP servers.

BigQuery MCP Server

Google Cloud documents a remote BigQuery Model Context Protocol server at docs.cloud.google.com/bigquery/docs/use-bigquery-mcp, enabled when the BigQuery API is enabled. Connect MCP clients to the managed HTTP endpoint `https://bigquery.googleapis.com/mcp` with OAuth 2.0 and IAM (API keys are not accepted). Documented IAM roles include MCP Tool User (`roles/mcp.toolUser`), BigQuery Job User (`roles/bigquery.jobUser`), and BigQuery Data Viewer (`roles/bigquery.dataViewer`). Tools include `execute_sql` and `execute_sql_readonly` per the use guide; `execute_sql_readonly` allows only read-only operations while `execute_sql` is the sole non-read-only tool. Limitations documented: query processing capped at three minutes by default, results limited to 3,000 rows, and Google Drive external tables unsupported for those SQL tools.

Graphiti MCP Server

Zep documents an experimental Graphiti Model Context Protocol server at help.getzep.com/graphiti/getting-started/mcp-server, with AI client integration also referenced at `https://help.getzep.com/_mcp/server` per Zep docs. The open-source implementation lives in getzep/graphiti/mcp_server with HTTP transport at `/mcp/` (default localhost:8000) or stdio mode. Tools include `add_episode`, `search_facts`, `search_nodes`, `get_episodes`, `delete_episode`, `clear_graph`, and `get_status` per the Graphiti MCP README; newer README entries also list `add_memory`, `add_triplet`, `search_memory_facts`, `summarize_saga`, `build_communities`, and `get_episode_entities`. Graphiti is Zep's open-source temporal knowledge graph framework for Context Graphs with real-time incremental updates and hybrid retrieval.

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.

Claude Code Skills

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Anthropic–Alibaba distillation attack due diligence

Turns CNBC reporting on June 24, 2026 about Anthropic's Senate Banking Committee letter into a security, legal, and policy checklist. The workflow separates verified facts—Anthropic accused Alibaba of brazenly and illicitly attempting to extract AI capabilities; the June 10 letter to Sens. Tim Scott and Elizabeth Warren called it the largest known distillation attack on Anthropic to date; operators affiliated with Alibaba and its AI lab carried out 28.8 million exchanges using roughly 25,000 fraudulent accounts between April 22 and June 5; distillation trains a smaller model on outputs of a stronger one; Anthropic wrote Alibaba ignored Trump Administration warnings after a White House OSTP memorandum on industrial-scale distillation; February blog cited DeepSeek, Moonshot, and MiniMax campaigns; recent weeks complicated by export-control directive on Fable 5 and Mythos 5—from internal response decisions. CNBC notes Alibaba did not immediately respond and Bloomberg was first to report the letter.

Five Eyes frontier AI cyber warning due diligence

Structures CNN reporting on June 23, 2026 about a rare Five Eyes joint statement into a security, legal, and executive-readiness checklist. The workflow separates verified alliance facts—that the US, UK, Canada, Australia, and New Zealand intelligence grouping warned frontier AI models capable of major cyberattacks overwhelming government and business defenses are months not years away; the statement on Monday said frontier AI models are anticipated to exceed current industry expectations, fundamentally transforming offensive and defensive cyber capabilities with a timeline of months; leaders were urged to act now by investing in cyber defenses, upgrading old systems, patching faulty software, and limiting access to critical systems; organizations integrating AI into security operations can detect vulnerabilities earlier, improve software quality, monitor unusual behaviour, and respond faster—from internal control decisions. It references CNN context that the warning follows the Trump administration ordering Anthropic to suspend foreign-national use of its most advanced models and notes there is currently no transparent, consistent US AI regulation framework.

SAP–Google agentic commerce architecture due diligence

Turns AI News reporting on June 19, 2026 about SAP and Google Cloud deploying agentic commerce architecture into a data, retail-ops, and procurement checklist. The workflow separates verified partnership facts—SAP research cited that 78% of businesses consider AI essential for retaining customers in 2026 while fewer than two in five share customer data across CX (37%) or CRM (39%) platforms; SAP Commerce Cloud adopting Universal Commerce Protocol; SAP Business Data Cloud Connect for Google BigQuery with bidirectional zero-copy linking; SAP Engagement Cloud multi-agent framework; Google Gemini including Nano Banana 2 for localized messaging and Google Rich Communication Services; Shopping Assistant with live inventory checks—from internal rollout decisions your org must still make. It references AI News that the architecture lets agents execute full retail sequences via UCP, merchants retain customer relationships in third-party channels, and marketing teams set business goals rather than manual campaign execution.

ChatGPT Enterprise spend controls due diligence

Turns Reuters-via-Yahoo Tech reporting on OpenAI's June 18, 2026 ChatGPT Enterprise analytics and spend-control launch into a finance, IT, and procurement checklist. The workflow separates verified product facts—global admin console visibility for ChatGPT and Codex credits, per-user/product/model breakdowns, usage trends, top users, workspace default credit limits, group limits with individual overrides, employee self-service usage views and credit requests, availability starting Thursday—from internal policy decisions your org must still make. It references Yahoo Tech (Reuters) that growing enterprise adoption by power users has drawn attention to escalating AI consumption costs and that OpenAI framed the release as helping manage costs and track credit usage.

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.

AI News

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