Firefish 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 Firefish 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 Firefish, 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 Firefish MCP Server
Connect your Firefish account to any AI agent and automate your recruitment workflows through the Model Context Protocol (MCP). Firefish is a high-performance recruitment CRM that empowers agencies to reach more candidates and close more placements. Now, you can interact with your recruitment data directly through natural conversation.
The Vercel AI SDK gives every Firefish 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
- Candidate Management — List all candidates, fetch detailed profiles, and create new candidate records instantly.
- Job Tracking — Monitor active job vacancies and retrieve complete metadata for any job in your system.
- Company & Contact Insights — Access your database of client companies and contacts to stay informed before meetings or calls.
- Placement Monitoring — Keep track of successful job placements and recruitment progress across your team.
- Advertising Overview — List active job advertisements to see where your recruitment efforts are focused.
- Activity Actions — Retrieve a list of recent recruiter actions to maintain a clear audit trail of engagement.
- Seamless Integration — Securely connect your Firefish environment using your Client ID and Secret for an automated experience.
The Firefish 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 Firefish to Vercel AI SDK via MCP
Follow these steps to integrate the Firefish 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 Firefish and passes them to the LLM
Why Use Vercel AI SDK with the Firefish MCP Server
Vercel AI SDK provides unique advantages when paired with Firefish 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 Firefish integration everywhere
Built-in streaming UI primitives let you display Firefish 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
Firefish + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Firefish MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Firefish in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Firefish tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Firefish capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Firefish through natural language queries
Firefish MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Firefish to Vercel AI SDK via MCP:
create_candidate
Create a new candidate
get_candidate
Get candidate details
get_company
Get company details
get_contact
Get contact details
get_job
Get job details
list_actions
List actions
list_adverts
List job adverts
list_candidates
List candidates
list_companies
List companies
list_contacts
List contacts
list_jobs
List jobs
list_placements
List placements
Example Prompts for Firefish in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Firefish immediately.
"List all active job vacancies at Firefish."
"Search for a candidate named 'John Smith'."
"Show me the most recent recruiter actions."
Troubleshooting Firefish MCP Server with Vercel AI SDK
Common issues when connecting Firefish to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFirefish + Vercel AI SDK FAQ
Common questions about integrating Firefish 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 Firefish 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 Firefish to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.