A Deep Research style MCP server for searching and fetching cupcake orders
Project description
Cupcake MCP for Deep Research
This is a minimal example of a Deep Research style MCP server for searching and fetching cupcake orders.
Set up & run
Python setup:
python -m venv env
source env/bin/activate
pip install -r requirements.txt
Run the server:
python sample_mcp.py
The server will start on http://127.0.0.1:8000 using SSE transport.
Files
sample_mcp.py: Main server coderecords.json: Cupcake order data (must be present in the same directory)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.0.tar.gz.
File metadata
- Download URL: iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.0.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
566f05d5c0b449b0b78648430c4ee77a03990dc9500eb146b598ce6810fb8d13
|
|
| MD5 |
30ab307d7f9a58057c8fbca600853b4f
|
|
| BLAKE2b-256 |
664dcadf47e6c515c7940b01a7f958925cd6cc2006bbe646d2294b0ab2fc6fb3
|
File details
Details for the file iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.0-py3-none-any.whl.
File metadata
- Download URL: iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e122538439862fe6ac0d9b1e47fd4e3c5a12a086b831c82a44ea31c330f1b43
|
|
| MD5 |
9764e5508f64d82ab2d83733edca0bf5
|
|
| BLAKE2b-256 |
ae6c1922ca5ed7de11df6f6354868a155f53e0b48a681f452e49923aa3410f79
|
