smithery verified Safe content atomic container

openai-api-agent-project

Use this tool when you need to leverage the OpenAI API for tasks such as text generation, language translation, and content analysis, solving problems like automating content creation and improving language understanding. It integrates with Git for version control and collaboration, accepting input parameters like prompts and models, and outputting generated text and analysis results. Ideal for use cases requiring AI-driven language processing and generation, such as chatbots, content generation, and language translation projects.

Cognium trust score

73%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: ai-ml
Source: Smithery
Repository: github.com/dongorae/openai-api-agent-project
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve openai-api-agent-project from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"