About PaidSync.ai
PaidSync.ai is an MCP server for managing advertising platforms through AI. This repository is archived and out of date; the project points to its canonical repository for current information.
Key features
- 01Archived repository
- 02Canonical repository identified
- 03Current setup guide linked
Use cases
- 01Locate the maintained repository
- 02Find current connection instructions
MCP support
The README identifies this as an MCP server but says the repository is archived. It directs users to the canonical repository and setup guide for current MCP details.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.paidsync.ai/sseclaude mcp add --transport sse traffiycom-ui-paidsync https://mcp.paidsync.ai/sse{"mcpServers":{"traffiycom-ui-paidsync":{"type":"sse","url":"https://mcp.paidsync.ai/sse"}}}Open in Cursor{"servers":{"traffiycom-ui-paidsync":{"type":"sse","url":"https://mcp.paidsync.ai/sse"}}}Open in VS Code{"mcpServers":{"traffiycom-ui-paidsync":{"type":"sse","url":"https://mcp.paidsync.ai/sse"}}}{"mcpServers":{"traffiycom-ui-paidsync":{"serverUrl":"https://mcp.paidsync.ai/sse"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.paidsync.ai/sseAuth requiredTools
Details
From the project READMEPaidSync.ai MCP Server
This repository has moved. The canonical home is github.com/PaidSync/paidsync-mcp.
Everything that was here is archived and out of date. That includes any tool counts, platform lists, pricing and endpoint URLs previously published in this README. Do not use this repository as a source for any of them.
- Product: paidsync.ai
- Current registry record:
io.github.PaidSync/paidsyncin the MCP Registry - Setup guides: paidsync.ai/connect
If you maintain a directory or catalogue that indexes this repository, please point it at the canonical repository above instead.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.