# mcp-server-ollama-deep-researcher

> Use this tool when you need to perform in-depth research on specific topics, leveraging local resources and the Model Context Protocol (MCP) ecosystem. It solves problems of information gathering and analysis, providing AI assistants with deep research capabilities. The tool takes in research topics as input and outputs comprehensive information, making it ideal for use cases requiring detailed and localized knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/cam10001110101-mcp-server-ollama-deep-researcher  
JSON: https://api.skillsregistry.net/v1/skills/cam10001110101-mcp-server-ollama-deep-researcher

## Description

This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the 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 (locally) via Ollama

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r25ssxqoci)
- **Repository:** <https://github.com/Cam10001110101/mcp-server-ollama-deep-researcher>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cam10001110101-mcp-server-ollama-deep-researcher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cam10001110101-mcp-server-ollama-deep-researcher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cam10001110101-mcp-server-ollama-deep-researcher/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt