Raycast

The Raycast MCP server connects Raycast — the macOS productivity launcher — to any AI agent through a single hosted MCP endpoint, so Claude, GPT, or Gemini can read clipboard history, trigger snippets, and fire quick actions without a human ever opening the launcher UI. For teams already living inside Raycast for command-palette workflows, app switching, and text expansion, this integration turns those local productivity habits into structured, queryable context that an AI agent can act on inside a chat window, a script, or an automated pipeline.

Practically, this means an agent can pull recent clipboard entries to summarize what a user copied while researching a task, search saved snippets to reuse a canned response or code block, or invoke a Raycast quick action to kick off a macOS-native workflow — all from a prompt instead of a keyboard shortcut. Because BusinessMCP.com hosts this as part of a unified MCP server, the Raycast connector sits alongside your other tools, databases, and revenue sources under one /api/mcp endpoint secured with a Bearer mcph_* key, so agents don't need separate credentials or bespoke integrations per macOS machine. That single endpoint is model-agnostic, meaning the same Raycast access works whether the requesting agent is Claude, GPT, or Gemini, and it's cookieless and GDPR-friendly by design, which matters for teams handling clipboard or snippet data that may contain sensitive text.

This server is a strong fit for engineering, support, and ops teams that use Raycast as their macOS launcher and want AI copilots to participate in the same shortcuts and text-expansion library the humans rely on. Instead of manually copying context into a chat window, an agent can query clipboard history directly; instead of retyping a frequently used snippet, it can search and insert one. Combined with the business-intelligence dashboard, usage of these quick actions and snippets can be tracked alongside your other connected tools, giving a manager visibility into which productivity workflows are actually being automated by AI versus humans.

Because Raycast is inherently a local, macOS-scoped tool, this MCP server is best paired with other productivity and knowledge integrations that give agents broader task and document context — task managers for follow-ups, a filesystem connector for local file access, or activity-tracking tools for a fuller picture of what's happening on the desktop. Hosting all of these through one MCP + BI layer means you connect Raycast once, and every downstream agent gains launcher-level context without custom glue code, repeated OAuth flows, or per-agent maintenance. For any team standardizing macOS productivity workflows around AI agents, this integration turns Raycast from a solo power-user tool into a shared, agent-accessible layer of your stack.

Setup follows the same pattern as every other BusinessMCP.com integration: authorize the Raycast connection once, and it becomes immediately available to any agent hitting your /api/mcp endpoint, with usage and activity visible in the same dashboard used for your other business tools — no separate infrastructure, no per-agent reconfiguration, and no vendor lock-in to a single model provider.