Hello, yall.

Today we want to try to see who is able to create a nice demo of an mcp agent that is able to search accross thousands of MCP servers.

We provide you a csv of mcp servers which contain the following structure:

from dataclasses import dataclass
from datetime import datetime
from typing import Optional, List, Dict, Any

@dataclass
class MCPServer:
    """Dataclass representing an MCP Server from the public_servers_rows.csv dataset"""
    
    id: str
    name: str
    slug: str
    description: str
    namespace: str
    github_repo_url: str
    github_user_id: int
    github_stars: int
    github_readme_url: str
    github_icon_url: str
    spdx_license: Optional[str]
    categories: List[str]
    tools: List[Any]
    environment_variables_schema: Dict[str, Any]
    status: str
    is_featured: bool
    created_at: datetime
    updated_at: datetime
    submitted_by: Optional[str]
    approved_by: Optional[str]
    approved_at: Optional[datetime]
    search_vector: str
    usable: bool
    config: Dict[str, Any]

the challenge is to create an MCP agent that can search and dynamically connect to a server to perform some interesting task.

Set up

Join Discord chat

DISCORD JOIN LINK

We will use this to share links and/or information! You can use it to ask questions as well!

Clone the repo

git clone [email protected]:mcp-use/mcp-use-elastic-hack-a-night.git

2. Set up an Elastic Cloud Serverless project

1. Log in or create an account at (elastic)[https://www.elastic.co/]
2. Select the Elasticsearch use case
3. Select the Elastic Cloud Serverless deployment option
4. Create a new index called public_servers from file by clicking Upload File
5. Upload the csv public_server_rows.csv in the repo
6. In the import settings, select advanced, copy and replace the mapping for the fields created_at, updated_at and approved_at to ensure the date fields are the correct types to be searchable.

{
  "properties": {
    "approved_at": {
      "type": "date",
      "format": "yyyy-MM-dd HH:mm:ss.SSSX||yyyy-MM-dd HH:mm:ss.SSSSX||yyyy-MM-dd HH:mm:ss.SSSSSX||yyyy-MM-dd HH:mm:ss.SSSSSSX",
      "ignore_malformed": true
      },
    "categories": {
      "type": "keyword"
    },
    "config": {
      "type": "text"
    },
    "created_at": {
      "type": "date",
      "format": "yyyy-MM-dd HH:mm:ss.SSSX||yyyy-MM-dd HH:mm:ss.SSSSX||yyyy-MM-dd HH:mm:ss.SSSSSX||yyyy-MM-dd HH:mm:ss.SSSSSSX",
      "ignore_malformed": true
      },
    "description": {
      "type": "text"
    },
    "environment_variables_schema": {
      "type": "text"
    },
    "github_icon_url": {
      "type": "keyword"
    },
    "github_readme_url": {
      "type": "keyword"
    },
    "github_repo_url": {
      "type": "keyword"
    },
    "github_stars": {
      "type": "long"
    },
    "github_user_id": {
      "type": "long"
    },