Bring Digital Signatures
to Vercel AI SDK
Learn how to connect DocuSeal to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the DocuSeal MCP Server?
Connect your DocuSeal account to any AI agent to streamline your electronic signature processes through natural language. This MCP server provides full control over document templates and signing lifecycles.
What you can do
- Template Management — List, create, and update document templates. You can even generate new templates directly from HTML content.
- Signature Requests — Create new submissions (signature requests) by linking templates to specific signers and choosing whether to send automated emails.
- Signer Tracking — Retrieve detailed information about submitters and monitor the progress of individual signature requests.
- Data Pre-filling — Update submitter information or pre-fill form fields programmatically before the document is sent for signing.
- Document Archiving — Manage the lifecycle of your documents by retrieving or deleting templates and submissions as needed.
How it works
- Subscribe to this server
- Enter your DocuSeal API Key
- Start managing contracts and signatures from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations & HR — Automate the generation of employment contracts and onboarding documents.
- Legal Teams — Quickly query the status of pending agreements and manage standard legal templates.
- Sales Teams — Send out sales orders and service agreements for signature without leaving your AI-powered workflow.
Built-in capabilities (12)
Create a new submission to request signatures
Can be created from HTML content. Create a new template from HTML
Cancel or delete a submission
Archive or delete a template
Retrieve details of a specific submission
Get download URLs for signed documents
Retrieve details about a specific signer
Retrieve a specific template by ID
List all submissions
List all document templates
Update signer information or pre-fill fields
Update an existing template
Why Vercel AI SDK?
The Vercel AI SDK gives every DocuSeal tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DocuSeal integration everywhere
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Built-in streaming UI primitives let you display DocuSeal tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DocuSeal in Vercel AI SDK
DocuSeal and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DocuSeal to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DocuSeal in Vercel AI SDK
The DocuSeal MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
DocuSeal for Vercel AI SDK
Every tool call from Vercel AI SDK to the DocuSeal MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create a document template using raw HTML code?
Yes! Use the create_template tool and provide your HTML content in the html parameter. DocuSeal will convert it into a reusable document template.
How do I send a document to multiple signers at once?
Use the create_submission tool. You can pass an array of signer objects (including email, name, and role) to the submitters parameter to initiate the signing process for everyone involved.
Is it possible to pre-fill form fields before the signer opens the document?
Absolutely. Use the update_submitter tool with the specific Submitter ID and provide a JSON object in the values parameter to map data to the form fields.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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