Ollama Hive MCP Server
@Algiras
About Ollama Hive MCP Server
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ollama-hive-mcp-server": {
"command": "npx",
"args": [
"ollama-hive-mcp-server"
]
}
}
}Tools
No tools detected
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Overview
What is Ollama Hive MCP Server?
A TypeScript-based Model Context Protocol (MCP) server that integrates with Ollama models using LangChain. It provides tools and resources for querying local language models through a standardized MCP interface, with model-specific MCP server configurations.
How to use Ollama Hive MCP Server?
Run directly via npx: npx ollama-hive-mcp-server. Optionally set MCP_CONFIG_PATH and environment overrides. For persistent installation, clone the repository, install dependencies, build, and start with npm start. The server exposes tools like query_model, test_model, get_model_info, and list_models.
Key features of Ollama Hive MCP Server
- Model management: configure multiple Ollama models with per-model endpoints and settings.
- Model-specific MCP servers: each model can have its own set of MCP tools.
- Session management: conversation sessions for context continuity across queries.
- Environment variable support: override endpoints and configuration via environment variables.
- Stdio transport: standard input/output communication for seamless integration.
- Pre-loading: all models loaded at startup for quick responses.
Use cases of Ollama Hive MCP Server
- Query local Ollama language models from any MCP client (e.g., Claude Desktop, Cursor IDE).
- Build multi-turn conversations with session-based context retention.
- Provide specialized tool sets per model (e.g., filesystem for code model, web search for research model).
- Test and debug model connectivity and MCP server configurations.
FAQ from Ollama Hive MCP Server
What runtime does it require?
Node.js 18+ and an Ollama instance running locally (default http://localhost:11434).
How are model endpoints resolved?
Priority: 1) OLLAMA_ENDPOINT environment variable, 2) model-specific endpoint config, 3) global globalEndpoint config, 4) default http://localhost:11434.
How do I use sessions for context continuity?
Create a session with the create_session tool, then pass the returned sessionId to subsequent query_model calls. Alternatively, set createSession: true to auto-create a session.
Are MCP servers isolated per model?
Yes. Each model can define its own set of MCP servers; they are isolated from other models.
How is configuration validated?
All configuration is validated using Zod schemas; errors are returned in a standardized format.
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