Performs in-depth research on topics using local LLMs via Ollama, accessible as MCP tools.
Sponsored
The Ollama Deep Researcher is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics using local LLMs via Ollama. Given a topic, it generates web search queries, gathers and summarizes search results, identifies knowledge gaps, iteratively improves the summary through multiple research cycles, and provides a final markdown summary with all sources used. Research results are stored as MCP resources for persistent access and easy reuse.
Key Features
01Integration with Ollama for local LLM usage
02Comprehensive tracing and monitoring with LangSmith
03Iterative research process with multiple cycles
04Supports Tavily and Perplexity APIs for web search
05Research results stored as MCP resources for persistent access
Use Cases
01Automated in-depth research for AI assistants
02Knowledge gap analysis and iterative information gathering
03Generating comprehensive summaries of research topics with cited sources
