LLM presets and MCP for Svelte 5 and SvelteKit. Visit the site at [svelte-llm.stanislav.garden](https://svelte-llm.stanislav.garden).
If you want an AI assistant working directly with Llmctx, the llmctx mcp server is the bridge. LLM presets and MCP for Svelte 5 and SvelteKit. Visit the site at svelte-llm.stanislav.garden.
LLM presets and MCP for Svelte 5 and SvelteKit. Visit the site at svelte-llm.stanislav.garden.
Once connected, the assistant can call these 2 tools directly:
Run — The Run tool exposed by this serverMisc — OG image from https://dynamic-og-image-generator.vercel.app/The server is distributed via npm as @modelcontextprotocol/inspector, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply one environment variable: GITHUB_TOKEN. Keep credentials in your client's env block or a secrets manager rather than committing them.
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Llmctx sits in that group, and the shape of its toolset — Run, Misc — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Run | The Run tool exposed by this server. |
| Misc | OG image from https://dynamic-og-image-generator.vercel.app/ |
{
"mcpServers": {
"llmctx": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"],
"env": {
"GITHUB_TOKEN": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | 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.