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Add open mcp marketplace api support #136

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23 changes: 23 additions & 0 deletions README.md
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Expand Up @@ -124,6 +124,29 @@ The evals package loads an mcp client that then runs the index.ts file, so there
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts
```

## Resources

<details>
<summary><b>Open MCP Marketplace API Support</b></summary>

![MCP Marketplace User Review Rating Badge](http://www.deepnlp.org/api/marketplace/svg?executeautomation/mcp-playwright)|[Reviews](http://www.deepnlp.org/store/ai-agent/mcp-server/pub-executeautomation/mcp-playwright)|[GitHub](https://github.com/AI-Agent-Hub/mcp-marketplace)|[Doc](http://www.deepnlp.org/doc/mcp_marketplace)|[MCP Marketplace](http://www.deepnlp.org/store/ai-agent/mcp-server)

Allow AI/Agent/LLM to find this MCP Server via common python/typescript API, search and explore relevant servers and tools

***Example: Search Server and Tools***
```python
import anthropic
import mcp_marketplace as mcpm

result_q = mcpm.search(query="mcp playwright", mode="list", page_id=0, count_per_page=100, config_name="deepnlp") # search server by category choose various endpoint
result_id = mcpm.search(id="executeautomation/mcp-playwright", mode="list", page_id=0, count_per_page=100, config_name="deepnlp") # search server by id choose various endpoint
tools = mcpm.list_tools(id="executeautomation/mcp-playwright", config_name="deepnlp_tool")
# Call Claude to Choose Tools Function Calls
# client = anthropic.Anthropic()
# response = client.messages.create(model="claude-opus-4-20250514", max_tokens=1024, tools=tools, messages=[])
```


## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright&type=Date)](https://star-history.com/#executeautomation/mcp-playwright&Date)