# Wikexa Knowledge MCP server

Wikipedia, Wikidata and Wiktionary as clean JSON, not HTML. 1.9M searchable. Free, no auth.

## At a glance

Wikexa Knowledge is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 6 tools, including lookup, article and define. It scores D (33/100) on the MCP Skills Hub health score as of Oct 28, 2026.

## Install

### How to install Wikexa Knowledge in Claude Code

1. Add the server

```bash
claude mcp add --transport http knowledge https://wikexa.com/mcp
```

2. Verify it's connected

```bash
claude mcp list
```

3. Sharing it with your team?

   Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

4. Use it in a session

   Ask Claude to use the tools this server exposes (e.g. lookup, article, define). It discovers them automatically.

### How to install Wikexa Knowledge in Claude Desktop

1. Open your MCP config

   macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add this server

```json
{
  "mcpServers": {
    "knowledge": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://wikexa.com/mcp"
      ]
    }
  }
}
```

3. Why the wrapper?

   This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.

4. Restart Claude Desktop

   The tools appear under the 🔌 menu once the app reloads.

### How to install Wikexa Knowledge in Cursor

1. Create / edit .cursor/mcp.json in your project

```json
{
  "mcpServers": {
    "knowledge": {
      "url": "https://wikexa.com/mcp"
    }
  }
}
```

2. Enable it

   Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

### How to install Wikexa Knowledge in Codex CLI

1. Add to ~/.codex/config.toml

```toml
[mcp_servers.knowledge]
command = "npx"
args = ["-y", "mcp-remote", "https://wikexa.com/mcp"]
```

2. Why the wrapper?

   Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.

3. Run Codex

   Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

### How to install Wikexa Knowledge in Windsurf

1. Edit ~/.codeium/windsurf/mcp_config.json

```json
{
  "mcpServers": {
    "knowledge": {
      "serverUrl": "https://wikexa.com/mcp"
    }
  }
}
```

2. Reload

   Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

### How to install Wikexa Knowledge in Cline

1. Open Cline → MCP Servers → Configure

   Adds to cline_mcp_settings.json.

2. Add the server

```json
{
  "mcpServers": {
    "knowledge": {
      "type": "streamableHttp",
      "url": "https://wikexa.com/mcp"
    }
  }
}
```

### How to install Wikexa Knowledge in VS Code

1. Create .vscode/mcp.json

```json
{
  "servers": {
    "knowledge": {
      "type": "http",
      "url": "https://wikexa.com/mcp"
    }
  }
}
```

2. Start it

   VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

## Tools

- `lookup` — Facts about any named thing — person, company, place, species, event, concept. Returns structured fields (dates, identifiers, relationships) plus a ~200-token summary, drawn from 10.2M entity records. Prefer this over fetching an encyclopedia page: the HTML costs ~15,000 tokens to recover ~500 tokens of fact. Resolves aliases and Wikidata Q-ids, so "Apple", "Apple Inc" and "Q312" all reach the sam
- `article` — The full text of an article, for when lookup()'s summary is not enough — sections as a JSON array, infobox as key/value facts, no HTML or wikitext to parse. Pass `sections` to pull only the parts you need (e.g. ["Early life"]) and `max_chars` to cap the payload; both exist because a long article will otherwise flood your context.
- `define` — What a word means, in thousands of languages — 8.15M dictionary entries with senses, part of speech, etymology and pronunciation. Covers what a general model is weakest at: historical languages (Old English, Gothic, Ancient Greek, Middle French) and hundreds of regional and indigenous ones. A single spelling often has entries in many languages and you get all of them — `hund` returns Danish, Gothi
- `search` — Find the right title when you only have a partial name or a rough description. Returns ranked {title, wikidata_id, description, summary_snippet}; ranking blends text relevance with monthly pageviews and follows redirects, so abbreviations land on the real article — "usa" returns United States, "jfk" returns John F. Kennedy, "apple" returns Apple Inc. rather than a disambiguation page. Searches eve
- `recent` — What changed in the last hours or days — the escape hatch for facts newer than your training cutoff. Reach for this whenever the answer could have moved since you were trained: elections, appointments, acquisitions, releases, deaths, records. Returns titles with timestamps and edit comments; resolve any of them with lookup(). Pass `topic` to filter and `hours` to widen the window up to a week.
- `papers` — Academic paper metadata from 57M+ works — title, abstract, authors, citations, DOI and open access URL. Covers every field: CS, medicine, physics, economics, biology, and more. Search by keywords (e.g. "transformer attention"), by topic name (e.g. "machine learning"), or by OpenAlex topic ID. Returns papers sorted by citation count. Source: OpenAlex (CC0 metadata). Use this when the user needs sch

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Source: https://mcp-skills-hub.vercel.app/mcps/com-wikexa-knowledge · MCP Skills Hub · data as of 2026-10-28T12:31:05Z