MCP Server: Ollama Deep Researcher
Overview
What is MCP Server: Ollama Deep Researcher?
MCP Server: Ollama Deep Researcher is a Model Context Protocol (MCP) server that adapts the LangChain Ollama Deep Researcher, enabling AI assistants to conduct in-depth research on various topics using local language models (LLMs) via Ollama.
How to use MCP Server?
To use the MCP Server, install the necessary prerequisites (Node.js, Python, and required API keys), clone the repository, and run the server either through standard installation or Docker. Configure your MCP client to connect to the server and start research by providing a topic.
Key features of MCP Server?
- Iterative research process that generates web search queries and summarizes results.
- Integration with multiple search APIs (Tavily and Perplexity).
- Comprehensive tracing and monitoring of research operations through LangSmith.
- Persistent access to research results stored as MCP resources.
Use cases of MCP Server?
- Conducting academic research on complex topics.
- Gathering and summarizing information for business intelligence.
- Enhancing AI assistant capabilities in providing detailed answers.
FAQ from MCP Server?
- Can the MCP Server handle all research topics?
Yes! It can research a wide range of topics using local LLMs.
- Is there a cost associated with using the MCP Server?
The server is open-source and free to use, but API keys may have associated costs.
- What are the system requirements for running the MCP Server?
You need Node.js, Python 3.10 or higher, and a machine with at least 8GB of RAM.
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