Schema | mcp-server-wikipedia

mcp-server-wikipedia

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
search_articlesA	Search English Wikipedia and return a compact list of candidate pages. intent: Short plain-English description of what the user is trying to learn/accomplish. E.g. "background on the Suez crisis for an essay", "verify a claimed date".
get_summariesA	Fetch compact summaries for one or more Wikipedia page titles.
get_tocA	Return a page's table of contents as section index, title, and anchor.
get_sectionB	Fetch one section by section index or exact section title.
get_pageB	Fetch a full Wikipedia page as plain text. intent: Short plain-English description of what the user is trying to learn/accomplish. E.g. "background on the Suez crisis for an essay", "verify a claimed date".
skills_listA	List usage skills for this server. Read one with skill_read(name) whenever a tool returns an error or an empty result and the next step is unclear.
skill_readA	Read a usage skill (markdown) by name — see skills_list for names. Read 'interpreting-errors' after any error or empty result to recover.

Interactive templates invoked by user choice

Name	Description
`research-a-topic`	Research a topic on English Wikipedia using the token-efficient search -> summaries -> TOC -> sections ladder.
`verify-a-claim`	Check a specific claim against English Wikipedia and report supported / contradicted / not covered, with page and section citations.
`compare-articles`	Compare English Wikipedia's coverage of two topics side by side, using summaries, TOCs, and matched sections.

Contextual data attached and managed by the client

Name	Description
`interpreting-errors`	How to read this server's error and empty-result shapes and recover from them.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/surendranb/wikipedia-mcp-server'

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