Firefish MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Firefish through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Firefish Assistant",
instructions=(
"You help users interact with Firefish. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Firefish"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 12 tools from Firefish through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Firefish, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Firefish MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Firefish
Why Use OpenAI Agents SDK with the Firefish MCP Server
OpenAI Agents SDK provides unique advantages when paired with Firefish through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Firefish + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Firefish MCP Server delivers measurable value.
Automated workflows: build agents that query Firefish, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Firefish, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Firefish tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Firefish to resolve tickets, look up records, and update statuses without human intervention
Firefish MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Firefish to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Firefish to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Firefish + OpenAI Agents SDK FAQ
Common questions about integrating Firefish MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.