Fireworks AI MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Fireworks AI as an MCP tool provider through the 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="fireworks_ai_agent",
instruction=(
"You help users interact with Fireworks AI "
"using 6 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 Fireworks AI MCP Server
Connect your Fireworks AI account to any AI agent and take full control of your generative AI inference and high-speed LLM workflows through natural conversation.
Google ADK natively supports Fireworks AI as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Agentic Chat Orchestration — Commands the backend orchestrating absolute explicit strings sending chat messages seamlessly against ultra-fast LLMs hosted on Fireworks AI
- Semantic Embedding Synthesis — Acquire multi-dimensional vector representations for absolute arrays of input strings to perform semantic search and RAG limitlessly
- High-Speed Text Completion — Generate basic textual completions for instructions or prompt continuations utilizing state-of-the-art open-source and proprietary models
- Visual Content Generation — Create high-fidelity images efficiently from text prompts by commanding synchronous inference against Fireworks-hosted image models
- Speech-to-Text Transcription — Transcribe audio files by passing public URLs to be processed by elite speech models, extracting structural textual strings flawlessly
- Model Discovery — Enumerate the list of high-speed models available to retrieve specific model IDs and versions for precise active inference boundaries natively
- Inference Auditing — Monitor model names and capabilities to ensure your AI agents are utilizing the most efficient architectural instances securely
The Fireworks AI MCP Server exposes 6 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 Fireworks AI to Google ADK via MCP
Follow these steps to integrate the Fireworks AI 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 6 tools from Fireworks AI via MCP
Why Use Google ADK with the Fireworks AI MCP Server
Google ADK provides unique advantages when paired with Fireworks AI 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 Fireworks AI
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 Fireworks AI tools with BigQuery, Vertex AI, and Cloud Functions
Fireworks AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Fireworks AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Fireworks AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Fireworks AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Fireworks AI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Fireworks AI
Fireworks AI MCP Tools for Google ADK (6)
These 6 tools become available when you connect Fireworks AI to Google ADK via MCP:
chat
Chat completion using Fireworks AI
completion
Text completion using Fireworks AI
embed
Generate embeddings using Fireworks AI
image
Generate an image using Fireworks AI
list_models
List Fireworks AI models
transcribe
Transcribe audio via Fireworks AI
Example Prompts for Fireworks AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Fireworks AI immediately.
"Chat with 'llama-v3-70b': 'Explain quantum entanglement simply.'"
"Generate embeddings for these sentences: ['AI is great', 'MCP is powerful']"
"Generate an image of a cybernetic forest at night"
Troubleshooting Fireworks AI MCP Server with Google ADK
Common issues when connecting Fireworks AI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFireworks AI + Google ADK FAQ
Common questions about integrating Fireworks AI 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 Fireworks AI 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 Fireworks AI to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.