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MCP servers tagged ollama-api
14 live MCP servers tagged "ollama-api", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with ollama-api.
Explorer
A local-first, multi-agent query interface built with LangChain, Chainlit, and Ollama, featuring dynamic Model Context Protocol (MCP) tool integration and Langfuse observability.
Go LLM
Large Language Model API interface
Rag With Chromadb
🗂️ Build a versatile MCP server with RAG capabilities, supporting multiple document formats using LangChain and ChromaDB for efficient data retrieval.
Odysseus AI Workspace Setup
Odysseus Self-hosted AI workspace production setup, troubleshooting, optimization, and maintenance support
Translator AI
🌐 Multi-provider AI translation tool for JSON i18n files. Features: Google Gemini & Ollama support, incremental caching, multi-file deduplication, MCP server, batch processing, an…
Gitops Lab
GitOps Playground (K8S, Terraform, Argo CD, Helm, Github Workflows etc.)
LocalAIEngineeringWithOllamaCompanionToolkit
Companion Toolkit for "Local AI Engineering with Ollama"
Rag Chroma Streamlit
A production-ready Retrieval-Augmented Generation (RAG) application built with Streamlit, LangChain, and ChromaDB. Features Model Context Protocol (MCP) integration for seamless t…
Reactive Agents
A custom reactive AI Agent framework that allows for creating flexible reactive agents to carry out tasks using MCP and Custom tools.
Adk Go Ollama
Ollama model provider and utilities for adk-go
AI Wpoos
NV Digital Open Operator System (NV oOS) is an Object-Oriented AI framework for WordPress connecting your data with OpenAI, Gemini, Anthropic, DeepSeek, Hugging Face, Cloudflare,…
GoAgent
A modular Go SDK for building intelligent, LLM-powered agents and tools — fast
Solesonic LLM API
AI-powered document chat API built with Spring Boot, Ollama, and PostgreSQL vector store
Vscode Local LLM
Run local AI models in VS Code with automatic model detection, server start, and built-in MCP endpoint—no cloud or manual setup required.