# conduit

> conduit — naumanahmed3-conduit. Use this tool when you need to leverage a hybrid-retrieval engine for efficient data processing and retrieval, solving problems related to complex query handling and large dataset management. The Conduit tool exposes its capabilities through Streamable HTTP, accepting prompts and resources as inputs and providing tools and results as outputs. Ideal for use cases involving high-performance data retrieval and processing, such as git-based data versioning and collaboration.

Canonical page: https://skillsregistry.net/skills/naumanahmed3-conduit  
JSON: https://api.skillsregistry.net/v1/skills/naumanahmed3-conduit

## Description

An MCP (Model Context Protocol) server exposing a pgvector hybrid-retrieval engine as tools, resources and prompts over Streamable HTTP.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/naumanAhmed3/conduit)

## 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": "naumanahmed3-conduit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/naumanahmed3-conduit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/naumanahmed3-conduit/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