aicastle-school-openai-api-agent-project11
Fetch the latest available stock quotes by ticker symbol across international markets. Check price…
Send to Your Agent
Copy this prompt and paste it into Claude, Cursor, or any MCP client to install instantly.
Install the aicastle-school-openai-api-agent-project11 MCP server for me.
Server: aicastle-school-openai-api-agent-project11
Description: Fetch the latest available stock quotes by ticker symbol across international markets. Check price…
Install command:
Environment variables needed:
- Authorization: Bearer token for Smithery authentication
GitHub: https://github.com/aicastle-school/openai-api-agent-project
Please install this MCP server and confirm when ready.Paste into any AI agent with MCP support — works with Claude Desktop, Cursor, Cline, and more.
Quick Install
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
- Open Claude Desktop app
- Go to Settings → Developer → Edit Config
- Paste the config below into the file
- Restart Claude Desktop
Add this to your ~/Library/Application Support/Claude/claude_desktop_config.json
Installation Methods
Tools (1)
execute Execute server operations
Environment Variables
Authorization OptionalBearer token for Smithery authentication
your-value-here| Name | Description | Required | Example |
|---|---|---|---|
| Authorization | Bearer token for Smithery authentication | Optional | your-value-here |
Compatibility
About
Fetch the latest available stock quotes by ticker symbol across international markets. Check price…
Overview
Fetch the latest available stock quotes by ticker symbol across international markets. Check price…
Repository
Find the source code at https://github.com/aicastle-school/openai-api-agent-project.
Tools
- execute: Execute server operations
Environment Variables
Authorization: Bearer token for Smithery authentication
Related Resources
aicastle-school-openai-api-agent-project
MCP ServerFetch current stock prices and key data for symbols across global markets. Look up companies like…
o1 Problem Solver
PromptUse OpenAI o1's reasoning capabilities for complex problem-solving in math, science, logic, and strategic planning.
DALL-E 3 Prompt Architect
SkillCreate precise, detailed prompts for DALL-E 3 for consistent, high-quality image generation.
Agent
GlossaryAn AI agent is a system that uses a language model to perceive its environment, make decisions, and take actions to reach a goal. Unlike a simple chatbot that only responds to prompts, an agent can loop: observe state, plan next steps, call tools, review results, and adapt until the task is done. Agents are built from several components. A planner breaks a goal into subtasks. A memory module stores conversation history and working context. A tool interface lets the agent call APIs, run code, query databases, or interact with other systems. A feedback loop checks whether each step moved the agent closer to the goal. Simple agents might answer a question by searching the web. Complex agents can write and test code, file pull requests, or coordinate with other agents. The more autonomy an agent has, the more important safety guardrails become, such as human approval for destructive actions and clear logging for every decision.
cc25a-openai-api-agent-project123123123
MCP ServerLook up the latest stock prices by ticker symbol across global markets. Get current price and esse…
Compare LLM Pricing
This server works with Claude, GPT-4o, and other models. Compare API costs side-by-side to find the cheapest option for your workflow.