# deeplore

> Use this tool when you need to uncover hidden connections and context within your notes and transcripts, and integrate them into your projects. Deeplore solves the problem of information fragmentation by surfacing relevant context from structured data, making it an ideal solution for knowledge management and research use cases. It takes in notes and transcripts as input and outputs a unified knowledge base, accessible as an MCP tool, suitable for applications requiring in-depth information analysis and retrieval.

Canonical page: https://skillsregistry.net/skills/bholagabbar-deeplore  
JSON: https://api.skillsregistry.net/v1/skills/bholagabbar-deeplore

## Description

Self-hosted RAG-powered knowledge base that surfaces context from structured notes and transcripts, exposing each project as an MCP tool.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f41dqahhym)
- **Repository:** <https://github.com/bholagabbar/deeplore>

## 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": "bholagabbar-deeplore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bholagabbar-deeplore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bholagabbar-deeplore/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