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AskTheApi Team Builder MCP Server

@AlexAlbala

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

AlexAlbala

AskTheApi Team Builder MCP Server について

Agent network builder for communicating with openapi apis. Based in autogen

#ai#mcp#agents#openapi-specification#agent-tools#agentic-ai#mcp-server

AskTheApi Team Builder MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

AskTheApi Team Builder MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is AskTheApi Team Builder?

A high-level Python library for building and managing networks of autonomous agents that collaborate to solve complex tasks. It integrates with APIs defined using the OpenAPI standard and provides a clean, type-safe interface for creating, configuring, and running teams of agents.

How to use AskTheApi Team Builder?

Install with pip install asktheapi-team-builder. Create agents from an OpenAPI spec using APISpecHandler, then build a team with TeamBuilder (e.g., model "gpt-4") and run it with streaming. Optionally expose agent teams as MCP endpoints via MCPService with SSE transport.

Key features of AskTheApi Team Builder

  • Effortless creation of agent networks from OpenAPI specs
  • Team-based collaboration with automatic coordination via a planning agent
  • Real-time streaming of agent interactions
  • Built-in HTTP client for calling external APIs
  • Type safety with Pydantic models
  • MCP (Model Control Protocol) support for exposing teams as endpoints

Use cases of AskTheApi Team Builder

  • Automating multi-step workflows that involve several external APIs
  • Building conversational agents that query multiple data sources
  • Orchestrating API calls to answer complex, composite user queries
  • Rapidly prototyping autonomous agent teams from existing OpenAPI specifications

よくある質問

1

What makes AskTheApi Team Builder different from using AutoGen directly?

The library provides a higher-level interface built on top of Microsoft's AutoGen, reducing boilerplate for creating and running agent teams from OpenAPI specs.

2

What are the runtime requirements?

Python 3.x (see badges for supported versions) and a supported LLM model (e.g., GPT-4) configured via `TeamBuilder`.

3

Where does my data live?

Data is handled by the user’s application. The library does not store or forward data—it processes OpenAPI specs and messages you provide.

4

What transports and authentication does the MCP service support?

The MCP service uses Server-Sent Events (SSE) transport and accepts custom HTTP headers for authentication (e.g., bearer tokens).

5

Are there any known limits?

The README does not mention any specific limits.

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