Firefish MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Firefish as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="firefish_agent",
tools=tools,
system_message=(
"You help users with Firefish. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Firefish tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Firefish MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Firefish automatically
Why Use AutoGen with the Firefish MCP Server
AutoGen provides unique advantages when paired with Firefish through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Firefish tools to solve complex tasks
Role-based architecture lets you assign Firefish tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Firefish tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Firefish tool responses in an isolated environment
Firefish + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Firefish MCP Server delivers measurable value.
Collaborative analysis: one agent queries Firefish while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Firefish, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Firefish data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Firefish responses in a sandboxed execution environment
Firefish MCP Tools for AutoGen (12)
These 12 tools become available when you connect Firefish to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Firefish to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Firefish + AutoGen FAQ
Common questions about integrating Firefish MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.