# Knowledge Fabric

> Knowledge Fabric — sagarv48-knowledge-fabric. Use this tool when you need to efficiently retrieve and structure evidence from large sources of information to support AI-driven decision-making and research. The Knowledge Fabric platform ingests source material, builds indexes, and performs hybrid retrieval to return structured evidence packages. Ideal for use cases requiring accurate and relevant information extraction, such as research, data analysis, and AI model training.

Canonical page: https://skillsregistry.net/skills/sagarv48-knowledge-fabric  
JSON: https://api.skillsregistry.net/v1/skills/sagarv48-knowledge-fabric

## Description

An MCP-native evidence retrieval platform that ingests source material, builds lexical and vector indexes, performs hybrid retrieval, and returns structured evidence packages for AI assistants.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zulzgt99yq)
- **Repository:** <https://github.com/sagarv48/knowledge-fabric>

## 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": "sagarv48-knowledge-fabric"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sagarv48-knowledge-fabric` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sagarv48-knowledge-fabric/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