Celoxis MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Celoxis through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Celoxis, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Celoxis MCP Server
Connect your Celoxis enterprise platform to any AI agent and take full control of your Project Portfolio Management (PPM) workflow through natural conversation.
The Vercel AI SDK gives every Celoxis 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.
What you can do
- Project & Portfolio Mapping — List strategic portfolios and extract granular project structures including absolute timelines, completion statuses, and mapped budget blocks.
- WBS & Tasks — Retrieve explicit Work Breakdown Structure nodes, identifying active assignments, task health, and explicit phase deliverables.
- Resource Allocation — Evaluate working resources, parse user mappings, and expose global scheduling types and distinct system roles across your organization.
- Timesheets & Accounting — Accurately pull time entries logged by members to measure billable matrices and ledger associations tied directly to tasks natively.
- Issue & Risk Governance — Poll blocking issues preventing workflows and assess graded severity impacts modeled inside the Celoxis organizational risk matrix.
- Approvals Pipeline — Interrogate pending validations routing over timesheets, assessing gating rules and internal clearance statuses immediately.
The Celoxis MCP Server exposes 12 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 Celoxis to Vercel AI SDK via MCP
Follow these steps to integrate the Celoxis MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Celoxis and passes them to the LLM
Why Use Vercel AI SDK with the Celoxis MCP Server
Vercel AI SDK provides unique advantages when paired with Celoxis through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Celoxis integration everywhere
Built-in streaming UI primitives let you display Celoxis tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Celoxis + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Celoxis MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Celoxis in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Celoxis tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Celoxis capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Celoxis through natural language queries
Celoxis MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Celoxis to Vercel AI SDK via MCP:
get_project
Get an explicit Celoxis project and its complete intrinsic properties structure by ID
list_approvals
List explicit tracking objects identifying pending/cleared approvals over timesheets and expenses constraints
list_clients
List explicit top-level CRM organizational clients linked internally to distinct portfolios
list_expenses
List raw billable/non-billable expenses physically mapped onto task items inside the ecosystem
list_issues
List custom app items representing blocked issues explicit to complex workflows mapping problems
list_milestones
List raw milestones natively mapping absolute phase delivery tracking inside the WBS
list_portfolios
List strategic global tracking Portfolios mapping top-level aggregates over child projects natively
list_projects
List all top-level project portfolio items in Celoxis. Returns physical IDs, names, status, and timeline data
list_resources
List all explicit Celoxis working resources parsing the core user mappings handling allocations
list_risks
List explicit organizational risks bounded natively via the Celoxis custom application matrix
list_tasks
List comprehensive Work Breakdown Structure (WBS) tasks representing concrete deliverables within active projects
list_time_entries
List actual time entries logged explicitly against Celoxis tasks or projects for accounting
Example Prompts for Celoxis in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Celoxis immediately.
"List all active projects in our company portfolio and check their timeline status."
"Check the detailed logged time entries for the Marketing project and verify pending approvals."
"Extract the explicit risk logs and blocked issues reported across our client portfolio."
Troubleshooting Celoxis MCP Server with Vercel AI SDK
Common issues when connecting Celoxis to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCeloxis + Vercel AI SDK FAQ
Common questions about integrating Celoxis MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Celoxis with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Celoxis to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.