Self-hosted Baseten MCP alternatives
Baseten's servers run only as hosted endpoints: you reach the model-deployment and docs tools over the network, with no build you install and run yourself. If you need the server process and its credentials on your own machine, you need a different one.
Every option below installs locally and talks to your agent over stdio. The model inference still runs against each provider's own API, but the server process and the API keys it holds stay on infrastructure you control.
The 8 best self-hosted alternatives
This community Gemini server installs locally and runs the model: generate text, analyze images, count tokens, and create embeddings, all from a process you start on your own machine.
Set up Google Gemini →The Stability AI community server runs locally and generates, edits, upscales, outpaints, and restyles images with Stable Diffusion, with the process and your key kept on your side.
Set up Stability AI →Broad media coverage from a local process: the fal.ai community server handles images, video, music, and audio across 600-plus fast models, with tools like generate_image and inpaint_image.
Set up fal.ai →A single tool, generate_image on the FLUX.1 Schnell model, is the whole of this community Together AI server, and it runs locally. The lightweight image option kept on your own machine.
Set up Together AI →- DeepLOfficial
DeepL's official server runs locally and translates text and documents across 30-plus languages, with rephrasing and glossary tools. Language work from a process you control rather than a hosted platform.
Set up DeepL → - ElevenLabsOfficial
ElevenLabs' official server installs locally and does text-to-speech, voice cloning, speech-to-text, sound effects, and conversational agents. The local pick when the models you call are voice and sound.
Set up ElevenLabs → - Hugging FaceOfficial
Hugging Face's official server can run locally and searches models, datasets, Spaces, papers, and docs. The discovery counterpart to Baseten's reference side, with the process kept on your machine.
Set up Hugging Face → - PerplexityOfficial
Live web search, conversational answers, deep research, and reasoning run locally through the official Perplexity Sonar server. Adjacent to model serving: it answers questions rather than running your deployments.
Set up Perplexity →
How to choose
For local model inference, Gemini, Stability, fal.ai, Together, DeepL, and ElevenLabs all install on your machine and each covers a media type. Hugging Face handles discovery and Perplexity adds live web research, both running locally too. One caveat: self-hosting controls where the process and API keys live, but the inference still runs against each provider's own API.
FAQ
- Can the Baseten MCP server be self-hosted?
- No. Baseten offers only hosted servers for its model-deployment and docs tools, with no self-installable build. If running the server yourself is a hard requirement, you have to pick an alternative that ships a local stdio command, such as Gemini, fal.ai, or ElevenLabs.
- Does running the server locally keep my model calls private?
- It keeps the MCP server process and its API keys on your infrastructure, which is usually the point for credential control. The inference itself still runs against each provider's API, whether that is Gemini, Stability, or ElevenLabs. Self-hosting controls the server, not where the model runs.