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Bridge Agent
What is Bridge Agent
Bridge-Agent is an agentic framework designed to work with MCP-Bridge, enabling the execution of workflows through a structured approach.
Use cases
Use cases for Bridge-Agent include automating data retrieval from APIs, processing responses based on conditions, and summarizing or handling errors in a systematic manner.
How to use
To use Bridge-Agent, configure the framework by pointing it to MCP-Bridge and provide a JSON configuration file, such as ‘config.json’, which includes your OpenAI API key and model settings.
Key features
Key features of Bridge-Agent include a modular workflow structure, support for conditional logic, and the ability to handle various actions like fetching data and summarizing content.
Where to use
Bridge-Agent can be utilized in fields such as automation, data processing, and integration tasks where structured workflows are needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Bridge Agent
Bridge-Agent is an agentic framework designed to work with MCP-Bridge, enabling the execution of workflows through a structured approach.
Use cases
Use cases for Bridge-Agent include automating data retrieval from APIs, processing responses based on conditions, and summarizing or handling errors in a systematic manner.
How to use
To use Bridge-Agent, configure the framework by pointing it to MCP-Bridge and provide a JSON configuration file, such as ‘config.json’, which includes your OpenAI API key and model settings.
Key features
Key features of Bridge-Agent include a modular workflow structure, support for conditional logic, and the ability to handle various actions like fetching data and summarizing content.
Where to use
Bridge-Agent can be utilized in fields such as automation, data processing, and integration tasks where structured workflows are needed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Bridge-Agent
Bridge agent is an agentic framework based on MCP-Bridge.
Usage
You must point the framework at MCP-Bridge. Here is an example config.json:
{
"openai_api_key": "none",
"openai_base_url": "http://localhost:9090/v1",
"openai_model": "gpt-4o-mini"
}
workflow example
submit a json workflow to the /execute endpoint
{
"nodes": [
{
"id": "start_1",
"type": "StartNode",
"output": "node_fetch"
},
{
"id": "node_fetch",
"type": "GenericNode",
"input": "start_1",
"output": "node_check_response",
"action": "fetch example.com"
},
{
"id": "node_check_response",
"type": "ConditionalNode",
"input": "node_fetch",
"condition": "Did the call complete successfully",
"outputs": [
{
"value": "true",
"output": "node_summarize"
},
{
"value": "false",
"output": "node_error"
}
]
},
{
"id": "node_summarize",
"type": "GenericNode",
"input": "node_check_response",
"output": "end_success",
"action": "summarize_content",
"parameters": {
"content": "response.body"
}
},
{
"id": "node_error",
"type": "GenericNode",
"input": "node_check_response",
"output": "end_failure",
"action": "explain_error",
"parameters": {
"error_code": "response.error_code",
"error_message": "response.error_message"
}
},
{
"id": "end_success",
"type": "EndNode",
"input": "node_summarize"
},
{
"id": "end_failure",
"type": "EndNode",
"input": "node_error"
}
]
}
the result is
{
"output": "The content from example.com is about an \"Example Domain\" that is used for illustrative purposes in documents. It states that this domain can be used in literature without prior coordination or permission.",
"chat_history": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Please execute the following action: fetch example.com\n\nUse tools if available, and if not use your best judgement/common sense."
},
{
"role": "assistant",
"content": "I successfully fetched the content from [example.com](http://example.com). Here it is:\n\n# Example Domain\n\nThis domain is for use in illustrative examples in documents. You may use this domain in literature without prior coordination or asking for permission.\n\nMore information..."
},
{
"role": "user",
"content": "Please evaluate the following condition: Did the call complete successfully. The output should be one of the following options:\n- true\n- false\nDo not include any other text."
},
{
"role": "assistant",
"content": "true"
},
{
"role": "user",
"content": "Please execute the following action: summarize_content\n\nUse tools if available, and if not use your best judgement/common sense."
},
{
"role": "assistant",
"content": "The content from example.com is about an \"Example Domain\" that is used for illustrative purposes in documents. It states that this domain can be used in literature without prior coordination or permission."
}
]
}
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










