--- title: Deploy any ML model, RAG or Agent as an MCP server description: LitServe now supports MCP (Model Context Protocol) integration through a dedicated endpoint, allowing any ML model, RAG system, or AI agent to be deployed as... canonical: https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Deploy any ML model, RAG or Agent as an MCP server | daily.dev og:description: LitServe now supports MCP (Model Context Protocol) integration through a dedicated endpoint, allowing any ML model, RAG system, or AI agent to be deployed as... og:url: https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927 og:image: https://api.daily.dev/og/posts/WSfjmX927.png og:image:alt: Deploy any ML model, RAG or Agent as an MCP server og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Deploy any ML model, RAG or Agent as an MCP server **[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 4 min read · 36 upvotes · 0 comments ## Summary LitServe now supports MCP (Model Context Protocol) integration through a dedicated endpoint, allowing any ML model, RAG system, or AI agent to be deployed as an MCP server. This eliminates the need for custom integration code for each application. The implementation involves defining input schemas, setup methods, and inference logic in a simple Python class structure. The article also covers a 4-part MCP crash course and demonstrates deploying a Qwen 3 Agentic RAG system using CrewAI, Firecrawl, and LitServe. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#machine-learning](https://daily.dev/tags/machine-learning), [#mcp](https://daily.dev/tags/mcp), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Deploy any ML model, RAG or Agent as an MCP server","url":"https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927"},"datePublished":"2025-06-18T20:29:20.358Z","dateModified":"2025-07-28T02:18:11.850Z","description":"LitServe now supports MCP (Model Context Protocol) integration through a dedicated endpoint, allowing any ML model, RAG system, or AI agent to be deployed as...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d8325ececc949ce05ea2c91a40004fea?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d8325ececc949ce05ea2c91a40004fea?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"Daily Dose of Data Science | Avi Chawla | Substack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Daily Dose of Data Science | Avi Chawla | Substack","logo":"https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds","url":"https://daily.dev/sources/dailydoseofds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/deploy-any-ml-model-rag-or-agent-as-an-mcp-server-wsfjmx927","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":36},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,machine-learning,mcp,rag","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Daily Dose of Data Science | Avi Chawla | Substack","item":"https://daily.dev/sources/dailydoseofds"},{"@type":"ListItem","position":3,"name":"Deploy any ML model, RAG or Agent as an MCP server"}]} ```