# regulated-reporting-mcp

> regulated-reporting-mcp — dbett4-regulated-reporting-mcp. Use this tool when you need to automate and secure financial reporting, enabling you to search, read, and write to Workiva workbooks with controlled mutations and verification. It solves problems related to regulated financial reporting by providing a reliable and auditable interface. Ideal for use cases requiring policy-gated data management and immutable receipts, with flexible deployment options via compact or full tool catalogs, or credential-free mock mode.

Canonical page: https://skillsregistry.net/skills/dbett4-regulated-reporting-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dbett4-regulated-reporting-mcp

## Description

MCP server for regulated financial reporting on Workiva, enabling agents to search, read, and write to Workiva workbooks with policy-gated mutations, readback verification, and immutable receipts. Supports both a compact 3-tool facade and a full 117-tool catalog, plus a credential-free mock mode.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pl05d5uef8)
- **Repository:** <https://github.com/dbett4/regulated-reporting-mcp>

## 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": "dbett4-regulated-reporting-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dbett4-regulated-reporting-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dbett4-regulated-reporting-mcp/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