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Fireworks AI MCP Server for VS Code Copilot 6 tools — connect in under 2 minutes

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "fireworks-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Fireworks AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

GitHub Copilot Agent mode brings Fireworks AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Fireworks AI MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Fireworks AI

Ask Copilot: "Using Fireworks AI, help me..."6 tools available

Why Use VS Code Copilot with the Fireworks AI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Fireworks AI through the Model Context Protocol.

01

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Fireworks AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Fireworks AI MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Fireworks AI MCP Tools for VS Code Copilot (6)

These 6 tools become available when you connect Fireworks AI to VS Code Copilot via MCP:

01

chat

Chat completion using Fireworks AI

02

completion

Text completion using Fireworks AI

03

embed

Generate embeddings using Fireworks AI

04

image

Generate an image using Fireworks AI

05

list_models

List Fireworks AI models

06

transcribe

Transcribe audio via Fireworks AI

Example Prompts for Fireworks AI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Fireworks AI immediately.

01

"Chat with 'llama-v3-70b': 'Explain quantum entanglement simply.'"

02

"Generate embeddings for these sentences: ['AI is great', 'MCP is powerful']"

03

"Generate an image of a cybernetic forest at night"

Troubleshooting Fireworks AI MCP Server with VS Code Copilot

Common issues when connecting Fireworks AI to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Fireworks AI + VS Code Copilot FAQ

Common questions about integrating Fireworks AI MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Connect Fireworks AI to VS Code Copilot

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.