83 posts tagged with "MCP"

Snowflake doesn't have an official MCP server. For a platform where most users interact through SQL, that's a meaningful gap — every question an analyst has starts with "what tables do we have?" and ends with a query, and that's exactly the workflow MCP is built for.

MCPBundles provides a purpose-built Snowflake toolset that connects your AI agent directly to your Snowflake account through the SQL REST API. Your AI can explore databases, navigate schemas, inspect table structures, execute arbitrary SQL, manage warehouses, and review query history — all authenticated with a Programmatic Access Token.

Supabase ships an official MCP server that gives your AI access to the full Supabase platform — Postgres databases, authentication, storage, edge functions, and project management. It's one of the more complete official MCP implementations, covering both development workflows and production operations.

This guide covers what the Supabase MCP server offers, how to set it up, and how to access it through MCPBundles alongside your other tools.

Linear has one of the best official MCP servers in the ecosystem. Built in partnership with Cloudflare and Anthropic, it runs as a remote hosted server at mcp.linear.app/mcp with OAuth 2.1 authentication and 25+ tools for managing your entire project workflow.

This guide covers what the Linear MCP server can do, how to set it up across different AI clients, and how to access it through MCPBundles for a hosted experience alongside your other tools.

There's no official PostgreSQL MCP server from the PostgreSQL Foundation — and there probably won't be, since PostgreSQL is an open-source project without a commercial entity pushing integrations. The community implementations that exist are mostly thin wrappers around psql — run a query, get results.

MCPBundles provides 20+ purpose-built tools that go far beyond raw SQL. Your AI explores schemas, profiles columns, analyzes index health, detects data quality issues, finds duplicates, explains query plans, and exports data — all without you writing a single SQL statement. And if you do want raw SQL, that's there too.

Discord doesn't have an official MCP server. The community implementations that exist are mostly basic bot wrappers — a few tools for sending messages and reading channels. None of them cover the full range of what you'd actually want your AI to do in a Discord server.

MCPBundles provides 13 structured tools built on the official Discord API v10 with proper OAuth2 bot authorization. Your AI reads messages, posts replies, manages threads, reacts to messages, pins important content, and looks up member profiles — all through authenticated API calls with proper permission scoping.

Figma is where product teams live — design files, component libraries, design tokens, comments, dev resources, webhook events, activity logs. But AI agents can't see inside Figma unless you give them structured access to the right surface at the right granularity.

MCP (Model Context Protocol) solves this by letting agents call Figma as a set of typed tools. Instead of pasting screenshots into ChatGPT or describing your component hierarchy by hand, the AI reads your files, inspects components, mutates variables in transactional batches, posts comments, attaches dev resources, and debugs webhook delivery — programmatically.

The MCPBundles Figma bundle exposes Figma's REST API as 30 MCP tools built around how design teams actually work. This post walks through what's there.

Most performance-marketing work in Google Ads is repetitive cognitive labour. Pull a search-term report, find the queries that wasted spend last week, write the negative-keyword list. Look at device performance, find that mobile CPC is up 40% with the same conversion rate, draft a bid adjustment. Spin up a campaign for next week's promo: budget, ad group, 15 keywords, an RSA with 11 headlines and 4 descriptions, all in PAUSED so nothing goes live by accident.

Each of those is a 20-minute task in the Google Ads UI and a 30-second task as a chat message — if your AI agent can actually call the Google Ads API. This guide is the use-case version of "AI + Google Ads": what you ask, what the agent does, what comes back. The protocol underneath is MCP (Model Context Protocol), the bundle is /skills/google-ads on MCPBundles, but the framing here is workflow-first.

Every LinkedIn MCP server on GitHub is either a scraper that violates LinkedIn's Terms of Service or a thin wrapper around unofficial endpoints that can break at any time. Some use Patchright (a Playwright fork) to automate the browser. Others reverse-engineer private APIs. LinkedIn actively blocks these — and your account is at risk if you use them.

MCPBundles is the only LinkedIn MCP server built entirely on LinkedIn's official REST API with proper OAuth 2.0 scopes. Your AI manages company pages, publishes posts with images and carousels, engages with comments and reactions, runs ad campaigns, and tracks analytics — all through authenticated API calls that LinkedIn explicitly supports.

Browser automation is one of the most powerful capabilities you can give an AI agent. Navigate to any page, read its content, fill forms, click buttons, take screenshots, inspect network traffic, run JavaScript — all programmatically through natural language.

Playwright is the industry standard for browser automation: fast, reliable, cross-browser, built for modern web apps. There are two ways to connect it to AI agents via MCP: Microsoft's official Playwright MCP server and MCPBundles' browser bundles with local and cloud deployment options.

QuickBooks Online is where millions of businesses manage invoicing, bills, payments, and financial reporting. AI agents that can read and write QuickBooks data can automate invoice creation, pull financial reports, track overdue payments, and reconcile changes — all through natural language.

MCP (Model Context Protocol) gives AI agents structured access to the QuickBooks API. There are two ways to connect: Intuit's official MCP server and MCPBundles' 34-tool accounting bundle. This guide covers both.