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AskTheApi Team Builder MCP Server

@AskTheApi

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

AskTheApi

关于 AskTheApi Team Builder MCP Server

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

AskTheApi Team Builder MCP Server 配置

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代码仓库

AskTheApi Team Builder MCP Server 工具

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概览

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 works seamlessly 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 and run it with streaming. Optionally expose agent teams via an MCP server using MCPService.

Key features of AskTheApi Team Builder

  • Effortless agent network creation from OpenAPI specifications
  • Team‑based collaboration with automatic coordination by a planning agent
  • Real‑time streaming of agent interactions
  • Built‑in HTTP client for external API calls
  • Type safety with Pydantic models
  • Clean, intuitive API with minimal boilerplate

Use cases of AskTheApi Team Builder

  • Orchestrating multi‑agent workflows that call multiple external APIs
  • Building customer‑facing AI assistants that query diverse data sources
  • Prototyping agent teams for complex reasoning and data retrieval tasks
  • Exposing agent collaborations as MCP endpoints for integration

常见问题

1

How does AskTheApi Team Builder relate to AutoGen?

It is built on top of Microsoft’s AutoGen and provides a higher‑level interface for managing agent teams with less boilerplate.

2

What runtime dependencies are required?

Python 3.8+ (per PyPI compatibility badge) and a model like GPT‑4 (configured via `model` parameter). AutoGen and Pydantic are used internally.

3

How can I expose agent teams as an MCP server?

Use the `MCPService` class with `MCPConfig` (e.g., `transport="sse"`, port 8000) and call `start_from_spec()` with an OpenAPI URL and optional headers.

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