A high-level library for building and managing teams of AutoGen agents
Most team communication work still happens through a UI a human drives. Asktheapi MCP server moves it into the conversation instead. A high-level library for building and managing teams of AutoGen agents.
A high-level Python library for building and managing networks of autonomous agents that collaborate to solve complex tasks. It's designed to work seamlessly with APIs defined using the OpenAPI standard. The library provides a clean, type-safe interface for creating, configuring, and running teams of agents, making it easy to orchestrate multi-agent workflows with minimal boilerplate.
asktheapi-team-builder on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of team communication 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. It is maintained by Alex Albala; 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.
{
"mcpServers": {
"asktheapi-team-builder": {
"command": "uvx",
"args": ["asktheapi-team-builder"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.