inference shell
Inference Shell is a unified AI infrastructure platform that provides access to 100+ AI models across image, video, audio, text, search, and 3D modalities through a single API call. The platform also functions as both an MCP server and client, enabling developers to connect AI agents to services like Linear, Notion, and Slack with centralized authentication and one-command setup via the Belt CLI.
- Artificial Intelligence
- Developer Tools
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Developers and teams building AI-powered applications face significant integration overhead: accessing different AI models (image, video, audio, text, search, 3D) requires managing multiple proprietary APIs, authentication schemes, and billing systems. Additionally, connecting AI agents to external services like Linear, Notion, or Slack requires per-developer MCP server configuration, creating credential sprawl and duplicated setup effort across teams.
Solution
Inference Shell provides a unified AI infrastructure platform that exposes hundreds of AI models through a single API call, eliminating the need to manage multiple provider integrations. The platform also acts as both an MCP server (exposing all its tools to any MCP-compatible client like Claude Code or Cursor) and a client (connecting to external MCP servers such as Linear, Notion, and Slack), centralizing authentication and configuration. Developers can build durable agents with human-in-the-loop workflows, compose apps into custom flows, and deploy everything using the Belt CLI. The platform supports bring-your-own-keys (BYOK) so users can leverage their existing cloud credits, and offers versioned, secure "skills" that work across runtimes.
Target Audience
Primary users are software developers, AI engineers, and product teams building AI applications who need unified access to multiple models and streamlined agent-to-service integrations.
Features
- Single API access to 100+ AI models across image, video, audio, text, search, and 3D modalities
- MCP server and client functionality, enabling bidirectional tool discovery and execution with any MCP-compatible client or server
- Durable agent execution with human-in-the-loop approval, tools, and automations
- Belt CLI for managing skills, apps, MCP connections, and deployments from the terminal
- Composable "flows" that chain multiple apps into new, reusable tools
- Built-in "skills" registry with versioning and security, designed to work across runtimes
- Shared memory and automations via "Commons" for persistent agent context
- AI-native React components for chat, generative UI, and tool approvals
- Bring Your Own Keys (BYOK) support, allowing users to apply their own cloud credits
- Per-app pricing displayed upfront with pay-as-you-go options