Cam10001110101_mcp-server-ollama-deep-researcher
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Ollama Deep Researcher is an MCP server offering in-depth research capabilities. It uses local LLMs to conduct iterative research processes, synthesizing web search results to assess knowledge gaps and provide comprehensive summaries. The server is designed for integration within the MCP ecosystem, facilitating communication with AI assistants.
Ollama Deep Researcher MCP Server
This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher, designed to provide deep research capabilities using local LLMs via Ollama. It integrates into the MCP ecosystem, offering AI assistants in-depth research capabilities through multiple research iterations supported by APIs like Tavily and Perplexity.
Core Functionality
- Utilizes MCP tools for research via local LLMs hosted by Ollama.
- Performs iterative research updates, generates web queries, and synthesizes findings.
Prerequisites
- Node.js and Python 3.10+
- Tavily, Perplexity, and LangSmith API keys
Installation
- Standard and Docker installation options available.
Features
- Tracing and monitoring via LangSmith
- Integration with MCP client configurations
- Persistent access to results as MCP resources