# docuseal-mcp-server

> Use this tool when you need to automate document signing workflows and manage electronic signatures. It solves problems related to document template management, signature request creation, and submission tracking, providing inputs such as PDF uploads and submitter information, and outputs like signed documents and submission statuses. Ideal for use cases requiring secure and efficient document signing processes, it offers a robust interface for integrating with DocuSeal instances via API.

Canonical page: https://skillsregistry.net/skills/caffeinebounce-docuseal-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/caffeinebounce-docuseal-mcp-server

## Description

Enables interaction with DocuSeal instances to manage document templates, create signature requests, and track submission statuses. It provides tools for uploading PDFs, managing submitters, and downloading signed documents via the DocuSeal API.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ro5fy94kjz)
- **Repository:** <https://github.com/caffeinebounce/docuseal-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": "caffeinebounce-docuseal-mcp-server"
    }
  }
}
```

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