chat-ollama
ChatOllama is an open-source AI chatbot that brings cutting-edge language models to your fingertips while keeping your data private and secure.
ChatOllama is an open-source chatbot platform built with Nuxt 3 that integrates the Model Context Protocol (MCP) to extend AI capabilities through external tools and data sources. It supports multiple language models including Ollama, OpenAI, Anthropic, Google Gemini, and Groq, while offering features like knowledge bases with RAG, realtime voice chat, and AI agents with tool access. MCP servers are managed through a user-friendly interface in Settings, allowing developers to configure STDIO, SSE, and HTTP-based integrations. The platform prioritizes privacy and local deployment options while providing enterprise-ready features like PostgreSQL support and access control lists.
Key Features
Use Cases
- 01Local AI chatbot deployment with privacy-focused data storage using Ollama models
- 02Extending AI conversations with filesystem, Git, database, and web search MCP tools
- 03Building custom AI agents that access multiple data sources and APIs through MCP servers
- 04Creating searchable document repositories for enhanced context-aware conversations
- 05Voice-enabled AI assistant with realtime speech interaction capabilities
- 06Multi-tenant chatbot platform with role-based access control for MCP configuration
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chat-ollama — FAQ
What is ChatOllama and how does it use MCP?+
ChatOllama is an open-source chatbot platform that integrates the Model Context Protocol (MCP) to enable AI models to access external tools and data sources during conversations. MCP servers are configured through a Settings UI and their tools become automatically available to the AI for tasks like file operations, database queries, and web searches.
How do I install ChatOllama with Docker?+
Download the docker-compose.yaml file from the repository and run 'docker compose up' in the same directory. ChatOllama will be accessible at http://localhost:3000 with all dependencies (PostgreSQL, ChromaDB, Redis) automatically configured.
What are the prerequisites for running ChatOllama in development mode?+
You need Node.js 18+, pnpm, a local PostgreSQL database server, Ollama running on http://localhost:11434, and either ChromaDB or Milvus for vector storage. API keys for commercial models (OpenAI, Anthropic, Google) are optional but required for those specific integrations.
Which AI clients can use ChatOllama's MCP servers?+
ChatOllama is a standalone web application that acts as an MCP client itself, consuming MCP servers to extend its AI capabilities. It is not a server that other clients connect to; rather, it manages and uses MCP servers like mcp-server-filesystem, mcp-server-git, and mcp-server-brave-search internally.
Is ChatOllama free and open source?+
Yes, ChatOllama is released under the MIT License and is completely free and open source. You can self-host it using Docker or run it locally for development without any licensing costs.
How do I configure MCP servers in ChatOllama?+
Navigate to Settings → MCP and click 'Add Server' to configure MCP servers through the UI. You can choose STDIO (command-line tools), SSE, or Streamable HTTP transport types, then specify the command/URL, arguments, and environment variables. By default, all users can manage MCP servers unless ACL_ENABLED=true is set.
How do I install chat-ollama?+
Open the source repository on GitHub and follow its README. chat-ollama is a mcp server — MCP Agents Market links you directly to the official repo.
Is chat-ollama free?+
chat-ollama is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.