Pipedream vs PLCs.ai — MCP Server Comparison | AllMCPs
Pipedream vs PLCs.ai
A side-by-side look at the Pipedream and PLCs.ai MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Pipedream for developer tools work over a hosted endpoint; choose PLCs.ai for developer tools over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Pipedream when
You need dedicated capabilities in the Developer Tools domain.
No tool names declared yet. Check the project README from the listing page.
PLCs.ai tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Pipedream is categorized under Developer Tools and uses a remote HTTP/SSE transport. PLCs.ai belongs to Developer Tools and uses a remote HTTP/SSE transport. Pick Pipedream for developer tools work and PLCs.ai for developer tools.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Pipedream is listed as freemium — a free tier with paid plans. Auth: api key required. PLCs.ai has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add pipedreamhq-pipedream and plcs-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Pipedream has a quality signal of 52/100 (Good) with 5 views, 0 installs and 11,720 GitHub stars. PLCs.ai has 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.