The easiest way to create MCP servers, AI agents, and chatbots with any LLM
If you already use MCP Agent Kit, the mcp agent kit mcp server is the piece that lets your assistant work with it directly. The easiest way to create MCP servers, AI agents, and chatbots with any LLM.
const agent = createAgent({ provider: "openai" }); const response = await agent.chat("Hello!"); console.log(response.content); ```
ts-node on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
AgentResponse — The AgentResponse tool exposed by this serverMiddleware — The Middleware tool exposed by this serverConfiguration is passed through the environment: OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, OLLAMA_HOST. 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.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP Agent Kit's toolset — AgentResponse, Middleware — is a fair guide to whether it matches your workflow. It is maintained by dominiquekossi; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| AgentResponse | The AgentResponse tool exposed by this server. |
| Middleware | The Middleware tool exposed by this server. |
{
"mcpServers": {
"agent-kit": {
"command": "npx",
"args": ["-y", "ts-node"],
"env": {
"OPENAI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"OLLAMA_HOST": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| OLLAMA_HOST | Endpoint or connection string the server talks to. | Optional |
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.