Wikipedia MCP Server 📚
Surgical, token-efficient Wikipedia knowledge retrieval MCP server for AI agents with deterministic summary, search, and full-article projection.
🌐 Live Documentation & Web Portal: https://wikipedia.builditwithai.xyz
⚡ Quickstart
# 1-Line Universal Installer (Auto-configures Claude Desktop, Cursor, Claude Code, Antigravity, VS Code, Zed, Windsurf)
curl -fsSL "https://wikipedia.builditwithai.xyz/install" | bash
# Or run directly via your preferred runtime:
uvx mcp-server-wikipedia
npx -y mcp-server-wikipedia
🤖 Client Setup
A. Claude Code (CLI)
claude mcp add wikipedia -- uvx mcp-server-wikipedia
B. Cursor & Google Antigravity (mcp.json)
{
"mcpServers": {
"wikipedia": {
"command": "uvx",
"args": ["mcp-server-wikipedia"]
}
}
}
C. Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"wikipedia": {
"command": "uvx",
"args": ["mcp-server-wikipedia"]
}
}
}
D. VS Code (Cline / Roo Code / Continue)
{
"mcpServers": {
"wikipedia": {
"command": "npx",
"args": ["-y", "mcp-server-wikipedia"]
}
}
}
🛠️ Tools & Capabilities
| Tool Name | Parameters | Description | Return Type |
|---|---|---|---|
get_summary |
title (string), lang (optional) |
Fetches concise, factual lead summary of any Wikipedia page. | string |
get_article |
title (string), lang (optional) |
Fetches complete article body formatted in clean, structured Markdown. | string |
search |
query (string), limit (int), lang (optional) |
Searches Wikipedia articles with autocomplete and relevance ranking. | JSON |
get_section |
title (string), section_title (string), lang (optional) |
Retrieves a specific section by header name, saving context window space. | string |
get_links |
title (string), lang (optional) |
Extracts outgoing cross-reference links from an article. | JSON |
get_categories |
title (string), lang (optional) |
Lists taxonomic categories and classifications for a page. | JSON |
skill_read |
skill_name (string) |
Dynamically loads research playbooks from GitHub. | Markdown |
skills_list |
(none) | Lists all available Wikipedia research skills. | JSON |
🔒 Telemetry & Privacy
This package collects anonymous, non-PII diagnostic telemetry (command executions, latency, error codes) to improve tool reliability. No article search terms, personal data, source code, or environment variables are ever collected or stored.
You can opt out anytime by setting either of the following environment variables:
export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1
📄 License
MIT License. See LICENSE for details.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mcp_server_wikipedia-0.5.2.tar.gz.
File metadata
- Download URL: mcp_server_wikipedia-0.5.2.tar.gz
- Upload date:
- Size: 29.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c02b3c1bc87fa5636834edd49668105a12b9689d12fd3cef068b6f40c1bd364
|
|
| MD5 |
b1b56b90ef92b6ffa400937624c4258d
|
|
| BLAKE2b-256 |
b63317c979c19ea7c6c80ee16e7b63b69ae45fa70b51f5fcd16f1bce99356c50
|
Provenance
The following attestation bundles were made for mcp_server_wikipedia-0.5.2.tar.gz:
Publisher:
publish.yml on surendranb/wikipedia-mcp-server
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mcp_server_wikipedia-0.5.2.tar.gz -
Subject digest:
5c02b3c1bc87fa5636834edd49668105a12b9689d12fd3cef068b6f40c1bd364 - Sigstore transparency entry: 2500347539
- Sigstore integration time:
-
Permalink:
surendranb/wikipedia-mcp-server@c79f233076dda0219b2d3cde129ff055dfb3d14d -
Branch / Tag:
refs/heads/main - Owner: https://github.com/surendranb
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@c79f233076dda0219b2d3cde129ff055dfb3d14d -
Trigger Event:
workflow_dispatch
-
Statement type:
File details
Details for the file mcp_server_wikipedia-0.5.2-py3-none-any.whl.
File metadata
- Download URL: mcp_server_wikipedia-0.5.2-py3-none-any.whl
- Upload date:
- Size: 22.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db5f29b9b669e0753ff118551a07d53057130d99cbb00de41b937d35f9e1ae68
|
|
| MD5 |
02986185a3cbe60ec1f64432b1a733e3
|
|
| BLAKE2b-256 |
50982e9a611980f9ebf1a35dccde4a00f93f46c9b636570da8866cbc55e71946
|
Provenance
The following attestation bundles were made for mcp_server_wikipedia-0.5.2-py3-none-any.whl:
Publisher:
publish.yml on surendranb/wikipedia-mcp-server
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
mcp_server_wikipedia-0.5.2-py3-none-any.whl -
Subject digest:
db5f29b9b669e0753ff118551a07d53057130d99cbb00de41b937d35f9e1ae68 - Sigstore transparency entry: 2500347547
- Sigstore integration time:
-
Permalink:
surendranb/wikipedia-mcp-server@c79f233076dda0219b2d3cde129ff055dfb3d14d -
Branch / Tag:
refs/heads/main - Owner: https://github.com/surendranb
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@c79f233076dda0219b2d3cde129ff055dfb3d14d -
Trigger Event:
workflow_dispatch
-
Statement type: