Bring Case Tracking
to Vercel AI SDK
Learn how to connect Evolio to Vercel AI SDK and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Evolio MCP Server?
Connect your Evolio account to any AI agent and manage your law firm operations through natural conversation.
What you can do
- Case Management — Create, update, list, and inspect cases with status, assigned attorneys, deadlines, and milestones
- Status Filtering — Filter cases by status (active, pending, closed, archived) to focus on what needs attention
- Task Tracking — Create tasks linked to cases, list all tasks with due dates and assignees, and inspect individual task details
- Client Profiles — Browse all clients with contact information and associated case counts, and inspect full client profiles
- Document Access — List all documents uploaded per client or per case for easy reference during consultations
How it works
1. Subscribe to this server
2. Enter your Evolio API Key from your administration settings
3. Start managing your cases from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Attorneys — check case status, review deadlines, and create tasks without switching to the Evolio dashboard
- Paralegals — access client documents and case files during research through conversational AI
- Law Firm Administrators — monitor caseloads, track pending tasks, and manage client profiles
Built-in capabilities (14)
Verify connectivity
Create a case
Create a task
Get case details
Get client details
Get task details
List case files
List cases
List cases by status
List client files
List clients
List all tasks
List tasks by case
Update a case
Why Vercel AI SDK?
The Vercel AI SDK gives every Evolio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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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 Evolio integration everywhere
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Built-in streaming UI primitives let you display Evolio 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
Evolio in Vercel AI SDK
Evolio and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Evolio 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 | 3,400+ 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 Evolio in Vercel AI SDK
The Evolio 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 14 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
Evolio for Vercel AI SDK
Every tool call from Vercel AI SDK to the Evolio 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 new cases and tasks directly through the AI agent?
Yes! The create_case action accepts a JSON payload with client, case type, and initial status. The create_task action creates tasks linked to specific cases with description, due date, and assignee. Use update_case to modify case status, notes, or attorney assignments as the case progresses.
Can I filter cases by their current status?
Yes. The list_cases_by_status tool accepts a status parameter — 'active', 'pending', 'closed', or 'archived'. This lets you quickly focus on active matters requiring attention, review pending cases awaiting decisions, or audit closed cases for reporting.
Can I access client documents and case files through the AI agent?
Yes. Use list_client_files with a Client ID to retrieve all documents uploaded for that client. Use list_case_files with a Case ID to see all documents associated with a specific case. Both tools return file names, upload dates, and file types for easy reference.
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
