About Client Ollama
Client Ollama is an MCP server in the AI category: sever e client mcp with ollama.
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git clone https://github.com/Intelligent-Systems-Lab/mcp_client_ollamaThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
MCP Host
A Python implementation of a Model Context Protocol (MCP) host that connects to Ollama LLM backends and MCP servers.
Features
- Multiple Server Support: Connect to any number of MCP-compatible servers
- Multiple Transport Types: Supports both stdio and SSE transports
- Ollama Integration: Seamless connection to local Ollama models
- Tool Execution: Enable LLMs to use tools from connected servers
- Simple CLI: Easy-to-use command-line interface
- JSON Configuration: Simple config file for server and LLM setup
Requirements
- Ollama running locally or on a remote server
Run the MCP Host
python mcp_host.py
Run the weather server(SSE)
python weather.py
Configuration
The MCP Host uses a JSON configuration file to define:
- MCP Servers: The servers that provide tools and resources
- LLM Provider: Configuration for the Ollama backend
Server Configuration
Each server needs:
- type: The transport mechanism (
stdioorsse) - For stdio servers:
- command: The command to run
- args: Command-line arguments (optional)
- env: Environment variables (optional)
- For SSE servers:
- url: The SSE endpoint URL
LLM Provider Configuration
- type: The provider type (currently only
ollamais supported) - model: The model name to use (e.g.,
llama3,mistral, etc.) - url: The Ollama API URL (default:
http://localhost:11434) - parameters: Additional parameters for Ollama (temperature, top_p, etc.)
Command-Line Options
usage: mcp_host.py [-h] [--config CONFIG] [--model MODEL]
[--message-window MESSAGE_WINDOW]
[--provider {ollama}] [--ollama-url OLLAMA_URL]
[--ollama-model OLLAMA_MODEL] [--debug] [--save-config]
MCP Host for LLM tool interactions
options:
-h, --help show this help message and exit
--config CONFIG Path to config file (default: config.json in current directory)
--model MODEL, -m MODEL
Override model specified in config
--message-window MESSAGE_WINDOW
Number of messages to keep in context
Provider Selection:
--provider {ollama} Select LLM provider
Ollama Options:
--ollama-url OLLAMA_URL
URL for Ollama API (e.g., http://localhost:11434)
--ollama-model OLLAMA_MODEL
Ollama model to use (e.g., llama3, mistral, etc.)
Other options:
--debug Enable debug logging
--save-config Save provider options to config file
Usage Examples
Basic Usage
python mcp_host.py
Debug Mode
python mcp_host.py --debug
Special Commands
During a chat session, you can use the following special commands:
tools: List all available tools from connected serversservers: List all connected MCP serversexitorquit: End the session
How It Works
- When you start MCP Host, it connects to all configured MCP servers
- Each server provides a list of available tools
- When you enter a query, it's sent to the Ollama LLM
- If the LLM decides to use tools, MCP Host executes those tool calls
- The results are sent back to the LLM
- The LLM provides a final response incorporating the tool results
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.