Ovecc vs PLCs.ai
A side-by-side look at the Ovecc 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 Ovecc for developer tools work as a local process; 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 Ovecc when
- You need dedicated capabilities in the Developer Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Choose PLCs.ai when
- You need dedicated capabilities in the Developer Tools domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Quality signal | 45/100 · Fair | 40/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
Tools & capabilities
Ovecc tools
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.
Ovecc
{
"mcpServers": {
"ovecc": {
"command": "npx",
"args": [
"-y",
"ovecc"
]
}
}
}
PLCs.ai
{
"mcpServers": {
"plcs-ai": {
"url": "https://mcp.plcs.ai/mcp"
}
}
}
Frequently asked questions
Ovecc is categorized under Developer Tools and uses a local stdio subprocess. PLCs.ai belongs to Developer Tools and uses a remote HTTP/SSE transport. Pick Ovecc 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.
Ovecc is listed as free. Auth: no auth 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 ovecc and plcs-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Ovecc has a quality signal of 45/100 (Fair) with 3 views, 2 installs and 3 GitHub stars. PLCs.ai has 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.