#ollama

An MCP server that provides LLMs access to other LLMs

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.

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

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.

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.

Mirror of

KDE AI Interface and MCP Server Integration

KDE AI Interface and MCP Server Integration

读取飞书/Lark文档 mcp server

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

pythonによる自分専用のMCPServerリポジトリです．

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

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

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

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

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

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.

implementation for interacting between an MCP server and an Ollama model

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

this repo has the mcp server with ollama

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

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

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

Things related to artificial intelligence built on top of Nasdanika capabilities

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

🤖 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.

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

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.

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

A Chat Client for LLMs, written in Compose Multiplatform.

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.

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.

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

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

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

OAuth2 Authorization Server with Spring Boot 3 and Java 24

The AI toolkit for the AI developer

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.

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

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

Mirror of

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

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.

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

The AI toolkit for the AI developer

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.

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...).

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

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.

council of models for decision

🍀 🤖 Spring Boot AI - Evaluation Testing

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

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

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

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