Firefish MCP Server for Google ADK 12 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Firefish as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="firefish_agent",
instruction=(
"You help users interact with Firefish "
"using 12 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Firefish as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Firefish MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 12 tools from Firefish via MCP
Why Use Google ADK with the Firefish MCP Server
Google ADK provides unique advantages when paired with Firefish through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Firefish
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Firefish tools with BigQuery, Vertex AI, and Cloud Functions
Firefish + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Firefish MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Firefish and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Firefish tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Firefish regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Firefish
Firefish MCP Tools for Google ADK (12)
These 12 tools become available when you connect Firefish to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Firefish to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFirefish + Google ADK FAQ
Common questions about integrating Firefish MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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 Google ADK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.