4,000+ servers built on vurb.ts
Vinkius
Claude CodeCLI
LocalAI MCP Server

Bring Self Hosted
to Claude Code

Learn how to connect LocalAI to Claude Code and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Anthropic MessagesApply ModelChat CompletionsCreate EmbeddingsDetect ObjectsFace AnalyzeFace IdentifyFace RegisterFace VerifyGenerate ImageGet Auth StatusGet Auth UsageGet System InfoGet VersionList ModelsOpen ResponsesRerank DocumentsText To SpeechTranscribe Audio

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
LocalAI

What is the LocalAI MCP Server?

Connect your LocalAI instance to any AI agent and leverage powerful multimodal capabilities directly from your own infrastructure.

What you can do

  • Text Generation — Use chat_completions or anthropic_messages to generate text using local models with full OpenAI or Anthropic compatibility.
  • Image Synthesis — Create visual content from text prompts using the generate_image tool, supporting custom sizes and negative prompts.
  • Audio Processing — Convert speech to text with transcribe_audio or generate natural-sounding speech from text using text_to_speech.
  • Advanced Search & RAG — Generate vector embeddings with create_embeddings and improve search relevance using the rerank_documents tool.
  • Computer Vision — Analyze images and identify elements using the detect_objects tool.
  • System Management — Monitor your instance with list_models, get_system, and getVersion to ensure optimal performance.

How it works

  1. Subscribe to this server
  2. Provide your LocalAI Base URL (e.g., http://localhost:8080) and optional API Key
  3. Start interacting with your local models through Claude, Cursor, or any MCP client

Who is this for?

  • Privacy-Conscious Developers — Run powerful AI workflows without sending sensitive data to third-party cloud providers.
  • AI Researchers — Easily test and swap different local models for chat, vision, and audio tasks.
  • DevOps Engineers — Integrate local AI capabilities into internal tools and automated pipelines.

Built-in capabilities (19)

anthropic_messages

Generate messages (Anthropic compatible)

apply_model

Install a model from the gallery

chat_completions

Generate chat completions (OpenAI compatible)

create_embeddings

Create text embeddings

detect_objects

Detect objects in an image

face_analyze

Analyze face demographics

face_identify

Identify faces (1:N)

face_register

Enroll a face into the store

face_verify

Verify faces (1:1)

generate_image

Supports negative prompts using | separator. Generate images from text prompts

get_auth_status

Check authentication state and providers

get_auth_usage

View personal token usage

get_system_info

View system and backend info

get_version

Get LocalAI version

list_models

List available models

open_responses

Generate open responses

rerank_documents

Rerank documents based on a query

text_to_speech

Convert text to audio (TTS)

transcribe_audio

Pass the file data or path as required by your LocalAI setup. Transcribe audio to text

Why Claude Code?

Claude Code registers LocalAI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 19 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where LocalAI data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using LocalAI tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

LocalAI in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

LocalAI and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect LocalAI to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for LocalAI in Claude Code

The LocalAI 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. All 19 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

LocalAI
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

The Vinkius Advantage

How Vinkius secures LocalAI for Claude Code

Every tool call from Claude Code to the LocalAI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How can I see which AI models are currently installed on my LocalAI server?

You can use the list_models tool. It will return a complete list of all available models on your instance, including their IDs and capabilities.

02

Does this server support generating images locally?

Yes! By using the generate_image tool, you can provide a prompt and optional size to generate images directly on your hardware using supported models like Stable Diffusion.

03

Can I use this to transcribe audio files into text?

Absolutely. The transcribe_audio tool allows you to send audio data or file paths to your LocalAI instance for high-quality transcription using models like Whisper.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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