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MCP verified MIT Self-run

Sample Deep Research Mcp

mcp-openai-sample-deep-research-mcp · by openai

Example MCP server compatible with Deep Research

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Install

$ agentstack add mcp-openai-sample-deep-research-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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○ stale · 1y ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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