# teradata-gcfr-mcp-server

> Use this tool when you need to access Teradata GCFR operational reporting data without SQL expertise, enabling natural-language queries about stream status, process history, and data lineage. It connects Claude to Teradata GCFR, providing insights into loads, transforms, errors, and SLA. Ideal for users seeking simplified operational reporting and data analysis.

Canonical page: https://skillsregistry.net/skills/pibbers-teradata-gcfr-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pibbers-teradata-gcfr-mcp-server

## Description

An MCP server that connects Claude to Teradata GCFR operational reporting, enabling natural-language queries about stream status, process history, loads, transforms, errors, SLA, and data lineage without writing SQL.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jmsn9nse35)
- **Repository:** <https://github.com/Pibbers/teradata-gcfr-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pibbers-teradata-gcfr-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pibbers-teradata-gcfr-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pibbers-teradata-gcfr-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt