# ickyMCP

> Use this tool when you need to perform semantic searches across large collections of legal and business documents, such as PDF, Word, Excel, and PowerPoint files. It solves problems related to information retrieval and document analysis, providing relevant results based on local embeddings without incurring API costs. Ideal for use cases where precise and efficient document search is crucial, such as research, compliance, and due diligence.

Canonical page: https://skillsregistry.net/skills/dl1683-ickymcp  
JSON: https://api.skillsregistry.net/v1/skills/dl1683-ickymcp

## Description

RAG-powered document search server that enables semantic search across large collections of legal and business documents (PDF, Word, Excel, PowerPoint) using local embeddings with no API costs.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/blx2xkd0dy)
- **Repository:** <https://github.com/dl1683/ickyMCP>

## 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": "dl1683-ickymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dl1683-ickymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dl1683-ickymcp/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