#ollama

Open registry of skills, tools, datasets, prompts, and playbooks for local LLMs. Search 155+ resources, get AI-powered recommendations, and install capabilities on demand for Ollama, LM Studio, and llama.cpp. Free, open, community-built.

Your Data. Your AI. Your Rules. Ontheia is a self-hosted, open-source AI agent platform. Run AI agents, automate workflows, and connect AI models to any tool — entirely on your own infrastructure, without sending data to external cloud services.

Check whether a task can run on a local model instead of cloud before every inference call. Saves money on every call that does not need cloud.

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous with local LLMs via Ollama. 97.8% recall accuracy on ICLR 2025 LongMemEval benchmark. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, Continue.dev, OpenClaw, Llama, and any MCP client. Open source, MIT licensed, written in Rust.

Route text, image, video, and audio tasks to 20+ AI providers — automatically picking the best model for the job based on your budget and active profile.

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

MCP server with 20 tools for web design analysis — layout extraction, motion detection, quality scoring, and semantic search via Playwright, pgvector, and Ollama.

MCP persistent memory service that gives AI assistants long-term memory across sessions and projects. Powered by Qdrant vector search + Ollama/Gemini embedding with hybrid retrieval (vector + BM25). Features include: semantic memory save/search/forget, content deduplication via SHA-256, automatic sensitive data redaction, dual-shell architecture (MCP stdio + HTTP REST), Web Admin Panel with analytics, multi-user auth & API key management, and audit logging.

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

A powerful, intelligent shell assistant powered by local AI models through Ollama. Shell AI brings advanced AI capabilities directly to your terminal, enabling natural language interaction with your file system, shell commands, and development workflow.

A background server that logs your desktop activity, calculates your Actions Per Minute (APM), and provides a clean, anonymized timeline of your work on demand. It's designed to be a data source for personal analytics or AI assistants.

Transform natural language into beautiful, interactive data visualizations. This server uniquely integrates powerful technologies like DuckDB, Ollama, and Plotly, streamlining complex data analysis workflows into a single, conversational experience within the Model Context Protocol (MCP) ecosystem. It addresses the fragmented workflow common in current MCP setups by providing seamless workflow orchestration, intelligent database switching, integrated statistical insights, and complete privacy-focused analytics through local Ollama processing.

Ollamac Pro is native macOS application for Ollama. It supports chat history, local RAG and support for remote and local MCPs.

Ollama AGI server - An MCP hub with built in registry and plug support.

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

A scriptable and powerful UI-Chat-Application for chatting with most Gen-AI LLMs

Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

pythonによる自分専用のMCPServerリポジトリです．

Shinkai is a two click install AI manager (Local and Remote) that allows you to create AI agents in 5 minutes or less using a simple UI. Agents and tools are exposed as an MCP Server.

The AI toolkit for the AI developer

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

A Python-based client for interacting with Model Context Protocol (MCP) servers using Ollama. Features include multi-server support, dynamic model switching, tool management, and a rich terminal interface.

Mirror of

Use fast-agent to use MCP tools with local LLM, API or Claude Desktop. WIP

Model Context Protocol (MCP) server integrated with an external inference service (e.g., Ollama/Gemma3) via middleware.

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.

The AI toolkit for the AI developer

LLM chat app for integration tests using llama-stack-client, llama, Ollama, MCP, Tools

Archive Agent is an open-source semantic file tracker with OCR + AI search.

A collection of articles and guides on AI, Generative AI, and Machine Learning, featuring practical examples in Python, TypeScript, and MCP server development.

🐳🧩 Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models!

读取飞书/Lark文档 mcp server

This repo is a bridge between any MCP server and local Ollama LLMs

a magical desktop app that puts the power of LLMs and MCP in the hands of everyone

Build AI Agent using Google ADK , MCP and Gemma 3 model

Local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool execution and dynamic agent behavior.

🍀 🤖 Spring Boot AI - Evaluation Testing

OAuth2 Authorization Server with Spring Boot 3 and Java 24

This project is a proof of concept for running a local-first multi-agent system using: 🤖 Local LLMs via Ollama 🧩 Simple function/tool-call detection using <tool_call>... 🔍 Brave Search API or optional Brave MCP plugin server 🧠 Two collaborating agents: Searcher and Synthesizer

🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.

This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).

A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.

🚀 Open source MCP Client: A Multi-provider AI Chatbot Solution

WhatsApp Messaging with MCP & Ollama This project integrates PraisonAI Agents with Ollama (llama3.2) and a Go-based WhatsApp bridge. It allows you to send WhatsApp messages using natural language through a local REST API, powered by an LLM and custom MCP tools.

Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

Adapter to expose MCPO, the MCP-to-OpenAPI proxy server, tools in Ollama-compatible format

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

A Chat Client for LLMs, written in Compose Multiplatform.

Created sample project for pydantic agent with local ollama model with mcp server integration.

an custom mcp server and custom mcp client project powered by ollama's llama 3.2

MCP server to update README.md using Ollama for conflict analysis.

This app demonstrates use of MCP server and client in a local model chat via Ollama that incorporates web search via Serper.

Mirror of

this repo has the mcp server with ollama

💬 MaxKB is an open-source AI assistant for enterprise. It seamlessly integrates RAG pipelines, supports robust workflows, and provides MCP tool-use capabilities.

council of models for decision

A web interface connecting local Ollama LLMs to Model Context Protocol (MCP) servers. Enables open-source models to use file operations, web search, and reasoning tools similar to commercial AI assistants - all running privately on your own hardware.

Things related to artificial intelligence built on top of Nasdanika capabilities

implementation for interacting between an MCP server and an Ollama model

KDE AI Interface and MCP Server Integration

KDE AI Interface and MCP Server Integration

Showcases how to integrate Spring AI's support for MCP (Model Context Protocol) within Spring Boot applications, covering both server-side and client-side implementations.

An MCP server that provides LLMs access to other LLMs

Witsy: desktop AI assistant / universal MCP client

the terminal client for Ollama

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

MCP servers for Protein Data Bank, ChemBL, and other life science data (WIP), with Ollama client for local testing.

Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

A TypeScript example showcasing the integration of Ollama with the Model Context Protocol (MCP), specifically the Filesystem MCP Server. This project provides an interactive command-line interface for an AI agent that can utilize filesystem tools.