Koskamo

Dataset Filter & Transform MCP

A remote MCP server that allows agents to clean, filter, and reshape JSON data rows. It supports up to 500 rows per call and provides tools for listing capabilities and processing rows, enabling data transformation tasks directly within the agent workflow.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Dataset Filter & Transform MCP logo, by Nero LabsCommunity listingStreamable HTTPNo sign-inEndpoint checked 2026-11-06Published by Nero Labs
MCP endpoint (Streamable HTTP)
https://dataset-filter-transform.nerolabs.workers.dev/mcp
Vendor documentation

What its tools do

2 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

2 of 2 have a description · 0 of 2 declare behavior hints · 1 of 1 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Clean and filter JSON rows
  • Reshape JSON data structures
  • List available server capabilities
  • Process data rows in batches

Source and maintenance

Community listingRegistry 0.1.0
Maintenance checked

Protocol and capabilities

Server
nerolabs-dataset-filter-transform 0.1.0
MCP protocol negotiated in check
2025-06-18
Tools
2 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

Call list_capabilities to see every filter operator and transform operation, then process_rows to clean a list of JSON rows in a single call.

Tools

2 advertised

list_capabilities
Advertised by the server during the last successful anonymous check.

Returns every filter operator and transform operation this server supports, the order the pipeline runs in, and the maximum rows per call. Call this first if you are unsure what is available. Free, processes no data.

list_capabilities input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
process_rows
Advertised by the server during the last successful anonymous check.

Cleans a list of JSON rows in one call: transforms each row, filters out the rows you do not want, then optionally sorts, de-duplicates and limits them. Returns the kept rows plus a summary of exactly what was removed and why. Use it to reshape scraped or API data before passing it on: rename and drop fields, cast strings to numbers, compute new fields with arithmetic, extract with regex, then keep only the rows that match your rules. Transforms run before filters, so you can filter on a field you just created.

process_rows input schema
{
  "type": "object",
  "required": [
    "rows"
  ],
  "properties": {
    "rows": {
      "type": "array",
      "items": {
        "type": "object"
      },
      "description": "The rows to process. Each row is a JSON object. Keys may differ between rows."
    },
    "limit": {
      "type": "integer",
      "description": "Return at most this many rows."
    },
    "offset": {
      "type": "integer",
      "description": "Skip this many rows after filtering and sorting."
    },
    "sortBy": {
      "type": "array",
      "items": {
        "type": "object"
      },
      "description": "Sort the kept rows, for example [{\"field\":\"price\",\"direction\":\"desc\"}]."
    },
    "filters": {
      "type": "array",
      "items": {
        "type": "object"
      },
      "description": "Conditions a row must satisfy to be kept, for example {\"field\":\"country\",\"operator\":\"equals\",\"value\":\"UK\"} or {\"field\":\"price\",\"operator\":\"greaterThan\",\"value\":100}. Dot paths like \"address.city\" work. Call list_capabilities for all 25 operators."
    },
    "distinctBy": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Keep only the first row for each combination of these fields. Applied after sorting, so sorting first lets you keep the newest row per key."
    },
    "transforms": {
      "type": "array",
      "items": {
        "type": "object"
      },
      "description": "Transform steps applied to every row, in order. Each step is an object with an \"op\" key, for example {\"op\":\"cast\",\"field\":\"price\",\"to\":\"number\"} or {\"op\":\"compute\",\"field\":\"total\",\"expression\":\"price * qty\"} or {\"op\":\"rename\",\"from\":\"e_mail\",\"to\":\"email\"}. Call list_capabilities for all 26 operations."
    },
    "lenientNumbers": {
      "type": "boolean",
      "description": "On by default: values like \"$1,234.50\", \"49 USD\" and \"12%\" are read as numbers. Set false to require real numeric values."
    },
    "filterCombineMode": {
      "enum": [
        "AND",
        "OR"
      ],
      "type": "string",
      "description": "Whether a row must match every filter (AND, the default) or any one of them (OR)."
    },
    "caseSensitiveFilters": {
      "type": "boolean",
      "description": "Text comparisons are case-insensitive by default. Set true to make them exact."
    }
  },
  "additionalProperties": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

90-day uptime

A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.

Too few checks for a percentage yet (5 of 5 answered).

  1. 2026-11-06: 1 of 1 checks answered
  2. 2026-11-07: 2 of 2 checks answered
  3. 2026-11-09: 1 of 1 checks answered
  4. 2026-11-10: 1 of 1 checks answered

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
337 ms
95th percentile latency
337 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 337 ms · metadata changed · 2 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http dataset-filter-transform-mcp https://dataset-filter-transform.nerolabs.workers.dev/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add dataset-filter-transform-mcp --url https://dataset-filter-transform.nerolabs.workers.dev/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable dataset-filter-transform-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "dataset-filter-transform-mcp": {
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "dataset-filter-transform-mcp": {
      "type": "streamableHttp",
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start dataset-filter-transform-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "dataset-filter-transform-mcp": {
      "type": "http",
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http dataset-filter-transform-mcp https://dataset-filter-transform.nerolabs.workers.dev/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://dataset-filter-transform.nerolabs.workers.dev/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "dataset-filter-transform-mcp": {
      "serverUrl": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

Let your agent find its tools

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