# Wikexa

> Wikexa — nlapi-wikexa. Use this tool when you need to access a vast repository of structured knowledge to enhance your AI agent's understanding and decision-making capabilities. Wikexa provides searchable JSON data from Wikipedia, Wikidata, and Wiktionary, offering 1.9M entries without requiring authentication. Ideal for use cases where accurate and reliable information is crucial, such as data enrichment, entity recognition, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/nlapi-wikexa  
JSON: https://api.skillsregistry.net/v1/skills/nlapi-wikexa

## Description

Structured knowledge for AI agents — Wikipedia, Wikidata, Wiktionary and growing as clean JSON. 1.9M searchable. Free, no auth.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e3bs2qo044)
- **Repository:** <https://github.com/nlapi/wikexa>

## 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": "nlapi-wikexa"
    }
  }
}
```

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