A team of Agent Personas wrapped in an MCP server that has the ability to leverage at scale massive compute by wrapping various LLM providers to
If you already use Agile Team, the agile team mcp server is the piece that lets your assistant work with it directly. A team of Agent Personas wrapped in an MCP server that has the ability to leverage at scale massive compute by wrapping various LLM providers to perform activities as an Agile Team Persona.
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:
Installation — The Installation tool exposed by this serverConfiguration is passed through the environment: OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, DEEPSEEK_API_KEY, OLLAMA_HOST, DEFAULT_MODEL, DEFAULT_TEAM_MODELS. 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. Agile Team's toolset — Installation — is a fair guide to whether it matches your workflow. It is maintained by danielscholl; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Installation | The Installation tool exposed by this server. |
{
"mcpServers": {
"agile-team": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/danielscholl/agile-team-mcp-server@main",
"agile-team"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_KEY>",
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_KEY>",
"GEMINI_API_KEY": "<YOUR_GEMINI_KEY>",
"GROQ_API_KEY": "<YOUR_GROQ_KEY>",
"DEEPSEEK_API_KEY": "<YOUR_DEEPSEEK_KEY>",
"OLLAMA_HOST": "http://localhost:11434",
"DEFAULT_MODEL": "openai:gpt-4o-mini",
"DEFAULT_TEAM_MODELS": "[\"openai:gpt-4.1\",\"anthropic:claude-3-7-sonnet\",\"gemini:gemini-2.5-pro\"]",
"DEFAULT_DECISION_MAKER_MODEL": "openai:gpt-4o-mini"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| 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 |
| GROQ_API_KEY | Credential the server authenticates with. | Yes |
| DEEPSEEK_API_KEY | Credential the server authenticates with. | Yes |
| OLLAMA_HOST | Endpoint or connection string the server talks to. | Optional |
| DEFAULT_MODEL | Configuration value read at startup. | Optional |
| DEFAULT_TEAM_MODELS | Configuration value read at startup. | 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.