# Cogni-Docs

> Use this tool when you need to efficiently search and query large documentation sets with customizable backend configurations. Cogni-Docs solves the problem of information retrieval by providing flexible chunking strategies and support for various database embeddings. It takes in documentation sets and query inputs, outputting relevant search results, making it ideal for use cases where AI assistants require accurate and context-specific information retrieval.

Canonical page: https://skillsregistry.net/skills/bsreeram08-cogni-docs  
JSON: https://api.skillsregistry.net/v1/skills/bsreeram08-cogni-docs

## Description

Enables AI assistants to search and query documentation with flexible backend configurations (ChromaDB, Xenova embeddings) and supports multiple chunking strategies via an MCP server.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wyzzamp7z6)
- **Repository:** <https://github.com/bsreeram08/Cogni-Docs>

## 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": "bsreeram08-cogni-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bsreeram08-cogni-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bsreeram08-cogni-docs/pull`

---
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