
1. Discovered MCP servers from config file: integration/mcp/../../integration/mcp/mcp_server_discovery.json:{
    "servers": [
        {
            "name": "API Logic Server: basic_demo",
            "base_url": "http://localhost:5656",
            "schema_url": "http://localhost:5656/.well-known/mcp.json"
        }
    ]
}


Learnings and Schema from discovery schema_url: http://localhost:5656/.well-known/mcp.json:
{
    "base_url": "http://localhost:5656/api",
    "description": "API Logic Project: basic_demo",
    "learning": "To issue one request per row from a prior step (fan-out), use the syntax:\n\n\"$<stepIndex>[*].<fieldName>\"\n\nFor example, if step 0 returns orders, and you want to send a POST per customer:\n\nBefore (incorrect):\n    \"customer_id\": \"{customer_id}\"\n\nAfter (correct):\n    \"customer_id\": \"$0[*].customer_id\"\n    \nOnly if 'email' is in the Natural language query, send email by issing a POST request to the SysEmail endpoint, setting the subject, message and customer_id in the body.   DO NOT include a POST unless the word \u2018email\u2019 appears in the user query.\n\nFormat response as mcp_responseFormat.\n\n<mcp_responseFormat>\nclass QueryParam(BaseModel):\n    name: str  # attribute name\n    op: str  # eq, lt, gt\n    val: str\n\nclass JsonValues(BaseMopdel):\n    name: str  # name of attribute\n    value: str # value of attribute\n\nclass Resource(BaseModel):\n    tool_type: str\n    base_url: str\n    path: str # specified use case or requirement name (use 'General' if missing)\n    method: str # GET, PATCH, POST or DELETE\n    body: json # data for P
    "resources":
[
    {
        "fields": [
            "id",
            "name",
            "balance",
            "credit_limit",
            "email",
            "email_opt_out"
        ],
        "filterable": [
... etc



2a. LLM request:

Natural language query:
 List the orders date_shipped is null and CreatedOn before 2023-07-14, and send a discount email (subject: 'Discount Offer') to the customer for each one.

Learnings_and_Schema:
{"http://localhost:5656/.well-known/mcp.json": {"base_url": "http://localhost:5656/api", "description": "API Logic Project: basic_demo", "learning": "To issue one request per row from a prior step (fan-out), use the syntax:\n\n\"$<stepIndex>[*].<fieldName>\"\n\nFor example, if step 0 returns orders, and you want to send a POST per customer:\n\nBefore (incorrect):\n    \"customer_id\": \"{customer_id}\"\n\nAfter (correct):\n    \"customer_id\": \"$0[*].customer_id\"\n    \nOnly if 'email' is in the Natural language query, send email by issing a POST request to the SysEmail endpoint, setting the subject, message and customer_id in the body.   DO NOT include a POST unless the word \u2018email\u2019 appears in the user query.\n\nFormat response as mcp_responseFormat.\n\n<mcp_responseFormat>\nclass QueryParam(BaseModel):\n    name: str  # attribute name\n    op: str  # eq, lt, gt\n    val: str\n\nclass JsonValues(BaseMopdel):\n    name: str  # name of attribute\n    value: str # value of attribute\n\nclass Resource(BaseModel):\n    tool_type: str\n    base_url: str\n    path: str # specified use case or requirement name (use 'General' if missing)\n    method: str # GET, PATCH, POST or
... etc from step 1

2b. generated tool context from LLM:
{
    "schema_version": "1.0",
    "resources": [
        {
            "tool_type": "json-api",
            "base_url": "http://localhost:5656/api",
            "path": "/Order",
            "method": "GET",
            "query_params": [
                {
                    "name": "date_shipped",
                    "op": "eq",
                    "val": "null"
                },
                {
                    "name": "CreatedOn",
                    "op": "lt",
                    "val": "2023-07-14"
                }
            ]
        },
        {
            "tool_type": "json-api",
            "base_url": "http://localhost:5656/api",
            "path": "/SysEmail",
            "method": "POST",
            "body": {
                "subject": "Discount Offer",
                "message": "Dear customer, we are offering a discount on your next purchase. Please check your account for more details.",
                "customer_id": "$0[*].customer_id"
            }
        }
    ]
}

3. MCP Client Executor – Starting Tool Context Execution



➡️  MCP execute_api_step[0]:
    Method: GET http://localhost:5656/api/Order
    Query:  filter=[{"name": "date_shipped", "op": "eq", "val": null}, {"name": "CreatedOn", "op": "lt", "val": "2023-07-14"}]
    Body:   {}

Warning: No Flask request context available. secure API calls may not work as expected.


➡️  MCP execute_api_step[1]:
    Method: POST http://localhost:5656/api/SysEmail
    Query:  filter=[]
    Body:   {'data': {'type': 'SysEmail', 'attributes': {'subject': 'Discount Offer', 'message': 'Dear customer, we are offering a discount on your next purchase. Please check your account for more details.', 'customer_id': 1}}}

Warning: No Flask request context available. secure API calls may not work as expected.


➡️  MCP execute_api_step[1]:
    Method: POST http://localhost:5656/api/SysEmail
    Query:  filter=[]
    Body:   {'data': {'type': 'SysEmail', 'attributes': {'subject': 'Discount Offer', 'message': 'Dear customer, we are offering a discount on your next purchase. Please check your account for more details.', 'customer_id': 3}}}

Warning: No Flask request context available. secure API calls may not work as expected.


➡️  MCP execute_api_step[1]:
    Method: POST http://localhost:5656/api/SysEmail
    Query:  filter=[]
    Body:   {'data': {'type': 'SysEmail', 'attributes': {'subject': 'Discount Offer', 'message': 'Dear customer, we are offering a discount on your next purchase. Please check your account for more details.', 'customer_id': 5}}}

Warning: No Flask request context available. secure API calls may not work as expected.


4. MCP Client Executor – Context Results:

Step 0 - Results (3 rows):
| CreatedOn  | amount_total | customer_id | date_shipped | notes            |
|------------|--------------|-------------|--------------|------------------|
| 2023-02-22 | 90.0         | 1           | None         | Second Order     |
| 2023-01-22 | 220.0        | 3           | None         | Pending Shipment |
| 2023-01-22 | 220.0        | 5           | None         | Silent Shipment  |

Step 1 - Results (1 rows):
| CreatedOn  | customer_id | message                                                                                                      | subject        |
|------------|-------------|--------------------------------------------------------------------------------------------------------------|----------------|
| 2025-07-02 | 1           | Dear customer, we are offering a discount on your next purchase. Please check your account for more details. | Discount Offer |

Step 2 - Results (1 rows):
| CreatedOn  | customer_id | message                                                                                                      | subject        |
|------------|-------------|--------------------------------------------------------------------------------------------------------------|----------------|
| 2025-07-02 | 3           | Dear customer, we are offering a discount on your next purchase. Please check your account for more details. | Discount Offer |

Step 3 - Results (1 rows):
| CreatedOn  | customer_id | message                                                                                                      | subject        |
|------------|-------------|--------------------------------------------------------------------------------------------------------------|----------------|
| 2025-07-02 | 5           | Dear customer, we are offering a discount on your next purchase. Please check your account for more details. | Discount Offer |

✅ MCP Client Executor – All Steps Executed - Review Results Above
.. 💡 Suggestion - Copy/Paste Response to a JsonFormatter

Test complete.
