Hippycampus

by cromwellian

10 stars

323 downloads

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GitHub

About

Converts OpenAPI specifications into LangChain tools, enabling AI assistants to interact with existing REST APIs without custom implementation

Details

Author: cromwellian
Repository: cromwellian/hippycampus
GitHub stars: 10
Downloads: 323
License: MIT License
Categories: Developer Tools, Community, Other, Productivity, Design, AI, Frontend, Security, Infrastructure

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Hippycampus

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

curl -LsSf https://astral.sh/uv/install.sh | sh

uv venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activate

uv pip install -e .

uv pip install langflow
```

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "hippycampus": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "cmd"
}

A LangChain-based CLI and MCP server that supports dynamic loading of OpenAPI specifications and integration with Langflow.

- Python 3.12.9
- UV package manager
- Google AI Studio API key
- Langflow (for visual workflow creation)

# Install UV if you haven't already curl -LsSf https://astral.sh/uv/install.sh | sh # Create and activate virtual environment uv venv source .venv/bin/activate # On Windows use: .venv\Scripts\activate # Install hippycampus and its dependencies uv pip install -e . # Install langflow uv pip install langflow

- VisitGoogle AI Studio
- Click "Create API Key" in the top right
- Copy the generated key and set it as an environment variable:

export GOOGLE_API_KEY='your-api-key-here'

uv run hippycampus-server --transport sse --port 8000

Ensure the MCP server is running before starting Langflow.
- Set the components path environment variable:

# Get your current working directory pwd # Use the output to set the components path export LANGFLOW_COMPONENTS_PATH="/output/from/pwd/langflow/components"

- Start the Langflow server (add --dev for development mode):
- Open your browser and navigate tohttp://localhost:7860
-

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

- OpenApi Service: Usehttps://raw.githubusercontent.com/APIs-guru/unofficial_openapi_specs/master/xkcd.com/1.0.0/openapi.yamlfor testing
- MCP Server: Usehttp://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.

- Authentication errors: Check ifGOOGLE_API_KEYis set correctly
- Missing components in Langflow: VerifyLANGFLOW_COMPONENTS_PATHpoints 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.

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:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

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