Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
io.github.wesseltl/data-cleaner-agentv0.1.3. Ratings and installs below are from this marketplace.
Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.
agentic-csv-cleaner @ 0.1.3Source: https://github.com/wesseltl/data-cleaner-agent
Registry entry: io.github.wesseltl/data-cleaner-agent
Copy one of these into your project. Installing also returns the manifest and these snippets.
targets:
- https://api.opensmartroute.ai/api/v1/registry/mcp-io-github-wesseltl-data-cleaner-agent/manifest # or paste the manifest belowAn Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-io-github-wesseltl-data-cleaner-agent",
"kind": "tool",
"name": "data-cleaner-agent",
"description": "Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.",
"publisher": "wesseltl",
"version": "0.1.3",
"capabilities": {
"domains": [
"coding"
],
"tags": [
"mcp",
"mcp-server",
"pypi",
"mcp-registry"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"repository": "https://github.com/wesseltl/data-cleaner-agent",
"path": "server.json",
"ref": "0.1.3",
"url": "https://github.com/wesseltl/data-cleaner-agent",
"key": "io.github.wesseltl/data-cleaner-agent",
"registry": "https://registry.modelcontextprotocol.io"
}
}
}Fetch it by URL: GET /api/v1/registry/mcp-io-github-wesseltl-data-cleaner-agent/manifest?version=0.1.3
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