Otter Bridge

by typangaa

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About

OtterBridge is a lightweight, flexible server for connecting applications to various Large Language Model providers. Following the principles of simplicity and composability outlined in Anthropic's guide to building effective agents, OtterBridge provides a clean interface to LLMs

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- Provider-Agnostic: Designed to work with multiple LLM providers (currently Ollama, with ChatGPT and Claude coming soon)
- Simple, Composable Design: Following best practices for LLM agent architecture
- Lightweight Server: Built with FastMCP for reliable, efficient server implementation
- Model Management: Easy access to model information and capabilities

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 Otter Bridge

Command (node, npx, python, etc.)

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": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

From the repository

Before installing OtterBridge, you need to have:

1. Ollama installed and running on the default port
2. uv installed for Python package management

OtterBridge exposes the following tools via the Model Context Protocol (MCP):

- chat: Send messages to LLMs and get AI-generated responses
- list_models: Retrieve information about available language models

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "otter bridge": {
            "otterbridge": {
                "command": "uv",
                "args": [
                    "run",
                    "server.py"
                ]
            }
        }
    }
}

McpServers

{
    "otterbridge": {
        "command": "uv",
        "args": [
            "run",
            "server.py"
        ]
    }
}

OtterBridge is a lightweight, mcp server for connecting applications to various Large Language Model providers.

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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