A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.

MCP Client which serves as bridge between mcp servers and local LLMs running on Ollama, Created for MCP Servers Developed by Me, However other MCP Servers may run as well

MCP client for local ollama models

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

A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools

Intelligent context management for AI coding assistants. Indexes your codebase with tree-sitter, builds a semantic knowledge graph, and serves 12 tools over MCP. Hybrid RAG combines keyword search, vector embeddings, and graph traversal for precise retrieval. Works with Claude Desktop, Cursor, and any MCP client. Fully local with Ollama.

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.

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

Hands-on .NET 8 workshop for building Model Context Protocol (MCP) servers and clients. Learn to create AI tools that connect language models to external services like Azure DevOps, with examples for OpenAI, Ollama, and VS Code integration.

Ollama MCP Client & Agent - A client and agent framework for integrating MCP servers with Ollama-based LLMs

Simple MCP server and client in Node.js using Ollama for local LLM-based filesystem operations.

TypeScript MCP client using Ollama for local, private LLM-powered interactions with Model Context Protocol servers.

The SQLite of AI Memory — free, open-source, zero-dependency Python library for persistent LLM memory. Works with Claude, GPT, Gemini, Ollama, Cursor, and any MCP client.

An end-to-end example demonstrating how to use Model Context Protocol (MCP) over STDIO in .NET to expose server-side tools and consume them from a client, then feed tool results into a local Ollama-hosted LLM for reasoning and response generation.

Fast Local Agents with Tools (mcp-client edition) is a lightweight package for connecting local (self-hosted) LLMs to tooling+data and for prototyping agentic flows. The philosophy behind this codebase is streamlined invocation of standard inferencing APIs (ollama, vllm via OpenAI interface compatibility) without relying on other agent frameworks!

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Mcp client for ollama in typescript

MCP Project for ai agents, ollama models, mcp server-client, LLMs

https://github.com/jonigl/mcp-client-for-ollama/issues/66

This is the client for the [local-mcp-server-ollama repo]

trying to build mcp servers for different tasks and using mcp client server architecture and running them through local ollama model

A minimal Model Context Protocol (MCP) server and client for file system operations using Ollama(LLM).

An MCP client-server unit conversion system integrated with Ollama Llama 3.1 for interactive CLI-based conversions.

MCP client with AI chat interface supporting Ollama, OpenAI, and Claude. Enables tool execution for browser automation and workflow automation.

🕒 Demonstrate how to build an MCP server and client in .NET for tool exposure, integrating results into an Ollama LLM for enhanced responses.

Poop MCP Client is a Spring Boot application that serves as a client for the Model Control Plane (MCP). It provides a RESTful API for AI inference and knowledge base management, leveraging Spring AI and Ollama for language model integration.

🕒 Explore how to build a .NET MCP server and client to interact with server-side tools and leverage Ollama for dynamic response generation.

Ollamec: A developer toolkit for building MCP-compliant clients using Ollama as the default LLM backend, with extensibility for other LLM providers, tool orchestration, and memory management.

MCP RAG server — local embeddings, your docs never leave your machine. Private knowledge base + web search for Claude, Cursor, and Ollama. Drop your docs, connect your AI client, done.

A Model Context Protocol (MCP) implementation for local code generation using FastMCP and Ollama. Designed for low-memory environments, this project demonstrates a standardized client-server interface for interacting with large language models via a persistent stdio transport layer.