Skip to main content

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 code
  • records.json: Cupcake order data (must be present in the same directory)

Project details


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

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2.tar.gz.

File metadata

  • Download URL: iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2.tar.gz
  • Upload date:
  • Size: 3.3 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

Hashes for iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2.tar.gz
Algorithm Hash digest
SHA256 a18dbb7d05c212ebe00557b5331cb080096f50bdf04ff90b78fdabd9d7d16c26
MD5 2da04f4a0b3bb8ef4310a10b8f41148f
BLAKE2b-256 430100cfdbef6503495b9d932d5eec7de24357725553c44ec7ecce5b1f4b2390

See more details on using hashes here.

File details

Details for the file iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 4.1 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

Hashes for iflow_mcp_kwhinnery_openai_sample_deep_research_mcp-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 182c10ce2a823165f49148516c9dac39ebda0b67208cddfa7dec98975ed27743
MD5 a78b93c9c0d38e02597690efada901a3
BLAKE2b-256 60ac2a64d3bf6e4ed2cc2f76b7d3b75fa23ef2c38051b242bfa545708795562e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page