mcp-server

OmniRoute: Streamline AI Coding

Get instant access to 290+ AI providers with OmniRoute, built for startup founders by 500+ contributors.
39,093 stars5,152 forksTypeScriptGuide quality 8/10Updated 8/4/2026100% free · open source
What it does

OmniRoute provides a unified API gateway to access over 290 AI providers and 500 models, allowing developers to integrate multiple AI services into their applications without worrying about individual APIs and quotas.

When to use it
  • When building an application that requires multiple AI services, such as language translation, text generation, and image recognition.
  • When wanting to prototype and test AI-powered features without incurring significant costs or setting up multiple API accounts.
  • When needing to ensure seamless fallbacks and quota management for AI services in production environments.
Ready-to-paste prompt
curl -X POST -H 'Content-Type: application/json' -d '{"prompt": "Generate a short story about a character who discovers a hidden world", "model": "Kimi"}' http://localhost:3000/api
Heads up: Before using OmniRoute, ensure you have the necessary API keys and credentials for the AI services you want to integrate, as some providers may require paid subscriptions or have usage limits.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/omniroute && curl -fsSL https://workflowstacks.com/api/skills/omniroute/claude-skill -o ~/.claude/skills/omniroute/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How OmniRoute: Streamline AI Coding works
Codeflow
Free to inspect

OmniRoute: Streamline AI Coding is a very large TypeScript project (~855k lines across 4957 code files, plus 5104 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~855k lines · 4957 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 95%JavaScript 5%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    bin/rollback.sh
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic3201 files
skills/Prompts, skills & agent definitions47 files
bin/Command-line entry points252 files
packages/Sub-packages / plugins7 files
docs/Documentation1485 files
examples/Examples you can copy15 files
open-sse/Folder1535 files
changelog.d/Folder317 files
READMEHas testsDocumentedCI checksDocker readyExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
diegosouzapw
Language
TypeScript
Category
mcp-server
Published
2/13/2026

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