# Omniscience

> Use this tool when you need to efficiently navigate large codebases and quickly locate specific code symbols. Omniscience solves problems of code discovery and understanding by providing semantic search and call-graph queries, allowing for precise access to relevant code elements. It takes in search queries and codebase inputs, outputting targeted code symbols and their relationships, ideal for use cases involving complex software development and maintenance.

Canonical page: https://skillsregistry.net/skills/freakyletsfail-mcp-omniscience  
JSON: https://api.skillsregistry.net/v1/skills/freakyletsfail-mcp-omniscience

## Description

Enables LLMs to efficiently navigate large codebases by providing surgical access to specific code symbols via semantic search and call-graph queries.

## 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/vbwpx4e2vq)
- **Repository:** <https://github.com/FreakyLetsFail/mcp-omniscience>

## 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": "freakyletsfail-mcp-omniscience"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/freakyletsfail-mcp-omniscience` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/freakyletsfail-mcp-omniscience/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