官方说明3 个来源MCP 服务3 天前
cromwellian/hippycampus
REST endpoint to MCP conversion
在 GitHub 查看 ↗直链 · 无中转页
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
- 评分构成
- 综合分 303 · 3 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-10-14；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记
Hippycampus
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A LangChain-based CLI and MCP server that supports dynamic loading of OpenAPI specifications and integration with Langflow.
Prerequisites
- Python 3.12.9
- UV package manager
- Google AI Studio API key
- Langflow (for visual workflow creation)
Installation
Configuration
Google AI Studio API Key
1. Visit Google AI Studio
2. Click "Create API Key" in the top right
3. Copy the generated key and set it as an environment variable:
Running the Applications
CLI Mode (no MCP server)
MCP Server Mode (SSE)
Langflow Server
Ensure the MCP server is running before starting Langflow.
1. Set the components path environment variable:
2. Start the Langflow server (add --dev for development mode):
3. Open your browser and navigate to http://localhost:7860
Using Custom Components in Langflow
1. In the Langflow UI, locate the custom components:
- OpenApi Service: For loading OpenAPI specifications
- Hippycampus MCP Server: For connecting to the MCP server over SSE
2. Configure the components:
- OpenApi Service: Use https://raw.githubusercontent.com/APIs-guru/unofficial_openapi_specs/master/xkcd.com/1.0.0/openapi.yaml for testing
- MCP Server: Use http://localhost:8000/sse
See the Screencast Demo for a visual guide.
Screencast Demo
**Note that the official XKCD swagger files contain an error and specify the comic_id field as a number instead of an
integer, there is a fixed version in the test folder.**
Troubleshooting
- Authentication errors: Check if GOOGLE_API_KEY is set correctly
- Missing components in Langflow: Verify LANGFLOW_COMPONENTS_PATH points to the correct directory
- Connection issues: Ensure the MCP server is running before connecting via Langflow
- If components don't appear in Langflow, try restarting the Langflow server
- Use the cli to debug openapi_builder/spec_parser and agent interaction issues before running in MCP/Langflow.
License
MIT License
Copyright (c) 2024 Ray Cromwell
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
Prerequisites
- Python 3.12.9
- UV package manager
- Google AI Studio API key
- Langflow (for visual workflow creation)
Installation
Configuration
Google AI Studio API Key
1. Visit Google AI Studio
2. Click "Create API Key" in the top right
3. Copy the generated key and set it as an environment variable:
Running the Applications
CLI Mode (no MCP server)
MCP Server Mode (SSE)
Langflow Server
Ensure the MCP server is running before starting Langflow.
1. Set the components path environment variable:
2. Start the Langflow server (add --dev for development mode):
3. Open your browser and navigate to http://localhost:7860
Using Custom Components in Langflow
1. In the Langflow UI, locate the custom components:
- OpenApi Service: For loading OpenAPI specifications
- Hippycampus MCP Server: For connecting to the MCP server over SSE
2. Configure the components:
- OpenApi Service: Use https://raw.githubusercontent.com/APIs-guru/unofficial_openapi_specs/master/xkcd.com/1.0.0/openapi.yaml for testing
- MCP Server: Use http://localhost:8000/sse
See the Screencast Demo for a visual guide.
Screencast Demo
**Note that the official XKCD swagger files contain an error and specify the comic_id field as a number instead of an
integer, there is a fixed version in the test folder.**
Troubleshooting
- Authentication errors: Check if GOOGLE_API_KEY is set correctly
- Missing components in Langflow: Verify LANGFLOW_COMPONENTS_PATH points to the correct directory
- Connection issues: Ensure the MCP server is running before connecting via Langflow
- If components don't appear in Langflow, try restarting the Langflow server
- Use the cli to debug openapi_builder/spec_parser and agent interaction issues before running in MCP/Langflow.
License
MIT License
Copyright (c) 2024 Ray Cromwell
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
- 来源
- awesome · https://github.com/cromwellian/hippycampus
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