Pica MCP Server

Pica MCP Server is a Model Context Protocol (MCP) gateway that plugs the Pica platform into AI assistants. By exposing a uniform set of tools, it removes the need for developers to write custom connectors for each third‑party service. Instead of managing OAuth flows, API keys, and rate limits manually, a single Pica account can power all of an assistant’s actions. This dramatically lowers the barrier to integrating complex workflows—such as pulling data from Gmail, posting messages to Slack, or orchestrating multi‑step automations—into conversational AI.

The server’s core value lies in its platform‑agnostic tool set. Commands like , , and give an assistant full visibility into every connection Pica has established, the capabilities of each service, and the ability to invoke those actions with rich parameter support. Because Pica already handles authentication and connection management, the MCP server can safely expose these capabilities without leaking secrets; all credentials are stored in environment variables (, ) and never appear in generated code.

Key capabilities extend beyond simple API calls. The server offers smart intent detection, allowing an assistant to interpret natural language requests like “read my last Gmail email” or “send a message to the Slack channel #general” and translate them into precise API actions. It also supports code generation for integration scaffolding—e.g., “build a form to send emails using Gmail”—so developers can prototype workflows quickly. The MCP interface handles all HTTP methods, payload formats (JSON, form data), and header customization, giving assistants the flexibility to interact with any RESTful endpoint.

Real‑world scenarios include automating customer support workflows (retrieving ticket data from Zendesk, updating statuses in Salesforce), orchestrating marketing campaigns (posting to social media platforms via Pica connections), and building custom dashboards that pull data from multiple SaaS services—all through a single, secure MCP server. Because the server authenticates every request via Pica’s secure proxy, developers can avoid managing individual platform API keys and rely on a single source of truth for credentials.

Integrating Pica MCP into an AI workflow is straightforward: the server can run locally, in Docker, or on Vercel, and it is natively supported by Claude Desktop, Cursor, and other MCP‑compliant clients. Once configured, an assistant can query the server’s tool catalog, discover available actions, and execute them on demand, enabling seamless, multi‑service automation without bespoke code for each platform.