Connect your AI stack to your buckets

1{
2  "mcpServers": {
3    "fil-one": {
4      "command": "npx",
5      "args": ["-y", "@fil-one/mcp-server"],
6      "env": {
7        "FIL_ACCESS_KEY": "your-access-key",
8        "FIL_SECRET_KEY": "your-secret-key"
9      }
10    }
11  }
12}

1{
2  "event": "object.created",
3  "bucket": "my-bucket",
4  "key": "uploads/report-q3.pdf",
5  "size": 204800,
6  "etag": "d8e8fca2dc0f896fd7cb4cb0031ba249",
7  "timestamp": "2025-05-26T14:32:00Z",
8  "metadata": {
9    "content-type": "application/pdf"
10  }
11}

1from langchain_community.document_loaders import S3FileLoader
2from langchain.text_splitter import RecursiveCharacterTextSplitter
3import os
4
5# Load documents directly from your Fil One bucket
6loader = S3FileLoader(
7    bucket="my-bucket",
8    key="docs/handbook.pdf",
9    endpoint_url="https://eu-west-1.s3.fil.one",
10    aws_access_key_id=os.environ["FIL_ACCESS_KEY"],
11    aws_secret_access_key=os.environ["FIL_SECRET_KEY"],
12)
13
14docs = loader.load()
15splitter = RecursiveCharacterTextSplitter(chunk_size=500)
16chunks = splitter.split_documents(docs)