A companion repository to my video about MCP server for the robot: - **MCP Server** for LLM-based AI agents (Claude Desktop, Cursor, Windsurf, etc.)
Connect Robot MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A companion repository to my video about MCP server for the robot: - MCP Server for LLM-based AI agents (Claude Desktop, Cursor, Windsurf, etc.) to control the robot - Direct keyboard control for manual operation - CLI AI Agent. The robot mcp mcp server is what makes that connection.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Configuration — Create a .env file in the project root with your API keys:Parameters — The Parameters tool exposed by this serverConfiguration is passed through the environment: ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Robot MCP's toolset — Configuration, Parameters — is a fair guide to whether it matches your workflow. It is maintained by IliaLarchenko; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Configuration | Create a .env file in the project root with your API keys: |
| Parameters | The Parameters tool exposed by this server. |
Add to your MCP configuration:
```json
{
"mcpServers": {
"SO-ARM100 robot controller": {
"url": "http://127.0.0.1:3001/sse"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.