This MCP server facilitates the development of agents using the OpenAI API, allowing users to upload data for fine-tuning and utilize function calling features.
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$ curl -LsSf https://astral.sh/uv/install.sh | shhttps://docs.astral.sh/uv/$ uv sync --frozen && uv cache prune --cihttps://github.com/cc25a/openai-api-agent-project$ uv run main.pyPlease install the `cc25a-openai-api-agent-project123123123` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install uv** — Install the uv Python package manager Run: `curl -LsSf https://astral.sh/uv/install.sh | sh` (https://docs.astral.sh/uv/)
- **Clone repo and build** — Clone the repository and run uv sync Run: `uv sync --frozen && uv cache prune --ci` (https://github.com/cc25a/openai-api-agent-project)
- **Run the server** — Start the MCP server (defaults to port 8000) Run: `uv run main.py`
Canonical MCP server config (HTTP transport):
- url: `http://localhost:8000/mcp?password=<your-password>`
Note: Korean OpenAI API Agent course project. Hosts an MCP server at /mcp endpoint. Requires env vars OPENAI_API_KEY, PROMPT_ID, TITLE, and optional PASSWORD passed as ?password= query string.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.OPENAI_API_KEYrequiredAPI key for uploading data and using the Agent app.PROMPT_IDrequiredOpenAI prompt ID used in the Agent app.TITLErequiredTitle displayed at the top of the Agent app.PASSWORDrequiredPassword for accessing the Agent app.PORTPort number for running the server, defaults to 8000 if not specified.KEEPALIVE_URLURL for keeping the app alive during inactivity.Open-source SEC EDGAR toolkit — 11 tools, 7 prompts, every filing type. No API key required.
SEC filing intelligence — insider sentiment, material events, financial ratios, disclosure search.
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