citesearch
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
citesearch
citesearch is a small client for Edgepedia, a standalone encyclopedia corpus of (per its own release notes) some 486,000 articles, each with its own id and credit line. It can search the corpus by subject, read an article or topic in full, list the articles related to one you already have, trace the chain of in-text links between two articles, and pin down which article an ambiguous name refers to when you give it a little surrounding context. One binary serves a command-line interface and a stdio MCP server.
There is no account and no API key. Under the hood, both faces
forward each request to the hosted Edgepedia endpoint at
https://www.edgechat.ai/mcp and print the text it returns.
Articles carry a credit line; where the upstream text includes it,
it is shown as returned — please keep it attached wherever you
reuse the article text.
Install
npx @reneturcios/citesearch search koalaOr run the container image:
docker run -i ghcr.io/cloudcorprecords/citesearchThe container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
Related MCP server: wikimedia
CLI
citesearch search Mount Fuji
citesearch fetch ep9kcz7eym
citesearch fetch ep9kcz7eym --no-citations
citesearch related ep9kcz7eym
citesearch connect epStart epTarget
citesearch resolve Jaguar --context "British car maker"
citesearch --versionResults print as plain text — a search returns matching articles
with their ids, titles, links and summaries; a fetch returns one
article as Markdown with its link, date, topic, license and credit
line; a resolve answer names the article meant, its confidence and
the alternatives. Exit codes: 0 on success, 1 when the upstream
request fails, 2 for usage errors. Arguments are validated before
any request is made.
Notes on fetch: with citations on (the default) an article's
sources appear as inline links; --no-citations asks for [n]
markers instead, which reads about a quarter shorter. The upstream
documentation also mentions fetching several ids at once, a single
section, a token budget, or only matching passages — but it does
not publish parameter names for those controls, so this client
does not invent any: fetch takes exactly one id and the citations
switch.
MCP server
One bin serves both faces. The mcp subcommand starts a stdio MCP
server:
npx -y @reneturcios/citesearch mcpMCP client configuration:
{
"mcpServers": {
"citesearch": {
"command": "npx",
"args": ["-y", "@reneturcios/citesearch", "mcp"]
}
}
}Tools
All five tools are read-only and key-free.
Tool | Input | What it returns |
|
| Matching articles: id, title, link and summary (or the article opening when there is no summary). Other names and misspellings work, and topic phrases return the topic. |
|
| One article as Markdown, with its link, date, topic, license and credit line. A topic's id lists its articles. |
|
| Articles related to it: its topic-mates, a few from each neighbouring topic, and its geography neighbours. |
|
| The shortest chain of in-text links from one article to the other (at most 6 hops), with the sentence that makes each hop. |
|
| Which article the name means, with a confidence and the alternatives. For example, "Jaguar" beside "British car maker" is the car company; beside "big cat" it is the animal. |
Development
npm install
npm run build # tsc -> dist/
npm test # node test runner over test/*.test.ts, no network (fake fetch only)
npm run dev # run the CLI from source via tsxLicense
MIT — see LICENSE. (This license covers this client; Edgepedia
article text is under its own license and carries its own credit
line.)
This server cannot be deployed
Maintenance
Related MCP Connectors
Search and read Edgepedia, a free and growing encyclopedia with citations. No key.
Search and read Wikipedia articles and sections, list cited references, nearby pages, and languages.
Read, search and edit Smartipedia, an open AI-native encyclopedia. No API key, no signup.
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
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