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WCC Pinecone Integration

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WCC Pinecone Integration

WCC Pinecone Integration

tri_angle/wcc-pinecone-integration
Try for free

No credit card required

Crawl any website and store its content in your Pinecone vector database. Enhance the accuracy and reliability of your own AI Assistant with facts fetched from external sources or connect this integration to our Pinecone GPT Chatbot assistant available in Apify Store.

Developer
Maintained by Apify

Actor Metrics

  • 21 Monthly users

  • 4.6 / 5 (5)

  • 5 bookmarks

  • 15% runs succeeded

  • 1.6 days response time

  • Created in May 2024

  • Modified a month ago

You can access the WCC Pinecone Integration programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=tri_angle/wcc-pinecone-integration"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using 🌲 WCC Pinecone Integration via Model Context Protocol (MCP) server

MCP server lets you use 🌲 WCC Pinecone Integration within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the 🌲 WCC Pinecone Integration Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "url": "https://docs.apify.com/",
8      "crawlerType": "playwright:adaptive",
9      "includeUrlGlobs": [],
10      "excludeUrlGlobs": [],
11      "initialCookies": [],
12      "proxyConfiguration": {
13            "useApifyProxy": true
14      },
15      "removeElementsCssSelector": "nav, footer, script, style, noscript, svg,\\n[role=\\"alert\\"],\\n[role=\\"banner\\"],\\n[role=\\"dialog\\"],\\n[role=\\"alertdialog\\"],\\n[role=\\"region\\"][aria-label*=\\"skip\\" i],\\n[aria-modal=\\"true\\"]",
16      "clickElementsCssSelector": "[aria-expanded=\\"false\\"]"
17},
18    "name": "tri_angle/wcc-pinecone-integration"
19  }
20}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for 🌲 WCC Pinecone Integration

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "tri_angle/wcc-pinecone-integration"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.