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GitScrum Knowledge MCP Server for Vercel AI SDK 28 tools — connect in under 2 minutes

Built by Vinkius GDPR 28 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GitScrum Knowledge through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using GitScrum Knowledge, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
GitScrum Knowledge
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About GitScrum Knowledge MCP Server

What you can do

  • Agent memory via notes — create, update, share, and organize notes as persistent AI memory with full revision history and folder management
  • Wiki knowledge base — build and maintain project documentation with nested pages, markdown content, revision tracking, and restore capabilities
  • Team discussions — create channels, send messages, search conversations, and reply in threads for structured team communication
  • Global search — search across tasks, wiki pages, discussions, user stories, sprints, and notes in a single query
  • Knowledge versioning — track how information evolves over time with note and wiki revision histories

The Vercel AI SDK gives every GitScrum Knowledge tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 28 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The GitScrum Knowledge MCP Server exposes 28 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GitScrum Knowledge to Vercel AI SDK via MCP

Follow these steps to integrate the GitScrum Knowledge MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 28 tools from GitScrum Knowledge and passes them to the LLM

Why Use Vercel AI SDK with the GitScrum Knowledge MCP Server

Vercel AI SDK provides unique advantages when paired with GitScrum Knowledge through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GitScrum Knowledge integration everywhere

03

Built-in streaming UI primitives let you display GitScrum Knowledge tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

GitScrum Knowledge + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the GitScrum Knowledge MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query GitScrum Knowledge in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate GitScrum Knowledge tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed GitScrum Knowledge capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with GitScrum Knowledge through natural language queries

GitScrum Knowledge MCP Tools for Vercel AI SDK (28)

These 28 tools become available when you connect GitScrum Knowledge to Vercel AI SDK via MCP:

01

channel_messages

Get messages in a channel

02

create_channel

Create a discussion channel

03

create_note

Use this as persistent agent memory: store decisions, context, meeting notes, or ADRs. Content supports full markdown. Create a new note

04

create_note_folder

E.g., "Agent Memory", "Architecture Decisions", "Meeting Notes". Create a note folder

05

create_wiki_page

Supports nested pages via parent_uuid. Create a wiki page

06

delete_note

Delete a note permanently

07

delete_wiki_page

Delete a wiki page

08

get_channel

Get channel details

09

get_wiki_page

Get a wiki page with full content

10

global_search

Returns grouped results by resource type. Search across all workspace resources

11

list_channels

List discussion channels

12

list_discussions

List all discussions in a project

13

list_note_folders

Use folders to categorize agent memory by topic or project. List note folders

14

list_notes

Perfect for agent memory — store context, decisions, and key information across sessions. List all notes in the workspace

15

list_wiki_pages

Wiki pages support markdown and nested hierarchies. List wiki pages in a project

16

move_note_to_folder

Move a note into a folder

17

note_revisions

Useful for tracking how knowledge evolved over time. Get note revision history

18

rename_note_folder

Rename a note folder

19

reply_to_message

Reply to a message in a thread

20

restore_wiki_revision

Restore a wiki page to a previous revision

21

search_channel_messages

Search messages in a channel

22

search_wiki

Search wiki pages

23

send_message

Useful for agents to communicate findings or status updates. Send a message to a channel

24

thread_replies

Get thread replies for a message

25

toggle_note_share

Useful for publishing agent findings to the team. Toggle note sharing visibility

26

update_note

Use to append context or refine agent memory over time. Update an existing note

27

update_wiki_page

Update a wiki page

28

wiki_revisions

Get wiki page revision history

Example Prompts for GitScrum Knowledge in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GitScrum Knowledge immediately.

01

"Save a note with today's architecture decision about using event sourcing."

02

"Search everything in our workspace for 'payment gateway integration'."

03

"Post an update in the #engineering channel about today's deployment."

Troubleshooting GitScrum Knowledge MCP Server with Vercel AI SDK

Common issues when connecting GitScrum Knowledge to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

GitScrum Knowledge + Vercel AI SDK FAQ

Common questions about integrating GitScrum Knowledge MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

Connect GitScrum Knowledge to Vercel AI SDK

Get your token, paste the configuration, and start using 28 tools in under 2 minutes. No API key management needed.