Which integrations are available for this server?

Integrates with arXiv to enable searching and retrieving metadata of academic papers. Integrates with dblp to enable searching and retrieving metadata of computer science publications. Integrates with dev.to to enable searching and retrieving articles from the developer community. Integrates with Discogs to enable searching and retrieving metadata of music releases. Integrates with Fandom to enable searching and retrieving fan wiki articles. Integrates with IMDb to enable searching and retrieving metadata of movies and TV shows. Integrates with Lemmy to enable searching and retrieving posts from the federated social platform. Integrates with Libraries.io to enable searching and retrieving metadata of open source packages. Integrates with Lobsters to enable searching and retrieving stories from the tech community. Integrates with Mastodon to enable searching and retrieving posts from the federated social network. Integrates with MusicBrainz to enable searching and retrieving metadata of music recordings. Integrates with npm to enable searching and retrieving metadata of JavaScript packages. Integrates with PyPI to enable searching and retrieving metadata of Python packages. Integrates with Reddit to enable searching and retrieving posts and discussions. Integrates with Semantic Scholar to enable searching and retrieving metadata of academic papers. Integrates with Wikidata to enable searching and retrieving structured knowledge. Integrates with Wikipedia to enable searching and retrieving encyclopedia articles. Integrates with YouTube to enable searching and retrieving metadata of videos.

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@jail search for latest papers on transformer models" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

JAIL Search — MCP Server

Status: backend offline.

Search a billion+ documents — papers, books, code, legal cases, forums, Wikipedia, and more.

jail.li

Installation

Connect to the hosted MCP server:

https://api.jail.li/mcp

Get API key for higher limits — append ?jailApiKey= to the URL.

claude mcp add --transport http jail https://api.jail.li/mcp

With API key:

claude mcp add --transport http jail "https://api.jail.li/mcp?jailApiKey=sk_live_..."

codex mcp add jail --url https://api.jail.li/mcp

With API key: codex mcp add jail --url "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "jail": {
      "url": "https://api.jail.li/mcp"
    }
  }
}

With API key: "url": "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Add to .vscode/mcp.json:

{
  "servers": {
    "jail": {
      "type": "http",
      "url": "https://api.jail.li/mcp"
    }
  }
}

With API key: "url": "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "jail": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.jail.li/mcp"]
    }
  }
}

With API key: "args": ["-y", "mcp-remote", "https://api.jail.li/mcp?jailApiKey=sk_live_..."]

Add to your opencode.json:

{
  "mcp": {
    "jail": {
      "type": "remote",
      "url": "https://api.jail.li/mcp",
      "enabled": true
    }
  }
}

With API key: "url": "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Edit ~/.copilot/mcp-config.json:

{
  "mcpServers": {
    "jail": {
      "type": "http",
      "url": "https://api.jail.li/mcp"
    }
  }
}

With API key: "url": "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "jail": {
      "serverUrl": "https://api.jail.li/mcp"
    }
  }
}

With API key: "serverUrl": "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Add to ~/.hermes/config.yaml:

mcp_servers:
  jail:
    url: "https://api.jail.li/mcp"

With API key: url: "https://api.jail.li/mcp?jailApiKey=sk_live_..."

Or install the skill: hermes skill install jail-search

Via npm Package

{
  "mcpServers": {
    "jail": {
      "command": "npx",
      "args": ["-y", "jail-mcp@latest"]
    }
  }
}

Or with Python: "command": "uvx", "args": ["jail-mcp"]

For API key with stdio: "env": { "JAIL_API_KEY": "sk_live_..." }

Related MCP server: Alexandria MCP

Tools

Tool	What it does
`search`	Search across all content types. Filter by type, paginate with cursor.
`detail`	Get full metadata for a document by ID.

Content Types

Type	Sources
academic	OpenAlex, arXiv, Semantic Scholar, DBLP
books	Books, digital libraries, classical literature
wiki	Wikipedia — en, zh, de, fr, es, ru, ja, ko + 10 more
forums	Hacker News, StackExchange, Lobsters, LessWrong, 60+ more
legal	Harvard Case Law, CourtListener, EUR-Lex, UK Legislation
news	News articles and journalism
packages	npm, PyPI, Crates.io, Libraries.io
economics	World Bank, IMF, FRED, ECB, BLS, Tax Foundation
knowledge	Wikidata, structured knowledge
video	IMDb, YouTube
music	Discogs, MusicBrainz
health	Clinical trials, food safety
geo	World place names, geographic data
tech	Dev.to, product community forums
social	Reddit, Mastodon, Lemmy, fediverse
fandom	Fan wiki articles, community knowledge
crypto	DeFi protocols, token data, on-chain analytics
predictions	Prediction markets, forecasting
audio	Podcasts and audio content

License

MIT

Available Tools

2 tools

detailAInspect

Get full metadata for a document. Use IDs from search results.

Args: doc_id: Document ID from search results (e.g. "md5:abc123...", "hn:19415066", "doi:10.1038/...")

Inputs: doc_id (required).

searchAInspect

Search documents. Returns ranked results with title, author, year, description, url, id, score — not full content. Use URLs from results with fetch/browsing to read actual documents.

Use when: user asks to research, find papers/books/articles, look up facts, find discussions, legal cases, or any "search for..." request.

Strategy: use 2-4 keywords per query (English preferred). Pick the right type first. Try synonyms if few results. Search across multiple types to cross-reference. Use detail() for full metadata on promising results.

Args: query: Search query — use 2-4 keywords for best results. English preferred unless searching non-English content. Try different keywords and synonyms if first attempt returns few results. type: Content type (required). academic: OpenAlex/arXiv/Semantic Scholar/DBLP | wiki: Wikipedia 18 languages | books: books/digital libraries | legal: Case Law/CourtListener/EUR-Lex | forums: HN/StackExchange/Lobsters/LessWrong/60+ | economics: World Bank/IMF/FRED | packages: npm/PyPI/Crates.io | knowledge: Wikidata | news: news articles | music: Discogs/MusicBrainz | video: IMDb/YouTube | health: clinical trials | geo: world places | fandom: fan wikis | tech: Dev.to | audio: podcasts | social: Reddit/Mastodon/Lemmy | crypto: DeFi/tokens | predictions: prediction markets. limit: Results to return (1-50). Trial max 10, Pro max 50. cursor: Opaque pagination token. Use next_cursor from previous response.

Inputs: type (required), query (required), limit, cursor.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.4/5.0

Scored 2026-08-08 09:20 across 2 tools

Disambiguation5/5

The two tools serve distinct functions: search is for exploratory queries, while detail retrieves specific document metadata. There is no overlap in their use cases, making selection unambiguous.

Naming Consistency4/5

Both tool names are single lowercase verbs, which is consistent, though they do not follow a more descriptive verb_noun pattern. The style is uniform and each name clearly suggests its action.

Tool Count3/5

With only two tools, the server feels minimal, but the search tool is highly versatile and covers many content types. The count is borderline but reasonable for the server's focused purpose.

Completeness4/5

The search and detail tools cover the core workflow of discovering and examining documents. While full-text retrieval is delegated to other tools, metadata and search are well-covered, with only minor gaps like no direct enumeration of content types.

Maintenance

ActivityInactive

ResponsivenessNo recent community issues

Resources

Related MCP Connectors

paper-mcpB
io.github.MCPServings
Search arXiv/Semantic Scholar/OpenAlex + medical evidence (PubMed/Europe PMC) + LaTeX/PDF tools.
Research & Data Open Data
21
https://latex-tools.online/mcp
Liner Search & Research
com.liner
Real-time web and scholarly search with cited answers and multi-step deep research.
Search Research & Data RAG Systems
1
https://platform.liner.com/api/v1/mcp
Libgen MCPA
io.github.jmrplens
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
Education & Learning Tools Research & Data Search
4133
https://mcp.jmrp.io/libgen
nobleblocks-mcpA
com.nobleblocks
Search 340M+ academic papers — citation graphs, semantic similarity, and AI literature reviews.
Research & Data Search AI & Machine Learning
1121
https://mcp.nobleblocks.com/mcp

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JAIL Search — MCP Server

Installation

Via npm Package

Tools

Content Types

License

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

Academic MCP Server

Alexandria MCP

Kindly Web Search MCP Server

mcp-scholaris

Appeared in Searches