MCP server
MCP Junction Official
ai.mcpjunction/directory
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Search a nightly-refreshed directory of MCP servers by keyword, category or topic.
Working at last checkVerified publisher: mcpjunction.aiAbout 714 tokens per request once connected5 tools
https://mcpjunction.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- mcpjunction.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 714 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http directory https://mcpjunction.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.directory] url = "https://mcpjunction.ai/mcp"
Gemini CLI
{"mcpServers":{"directory":{"httpUrl":"https://mcpjunction.ai/mcp"}}}
Cursor
{"mcpServers":{"directory":{"url":"https://mcpjunction.ai/mcp"}}}
VS Code
{"servers":{"directory":{"type":"http","url":"https://mcpjunction.ai/mcp"}}}
Antigravity
agy mcp add directory https://mcpjunction.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"directory","server_url":"https://mcpjunction.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"directory","server_url":"https://mcpjunction.ai/mcp"}
Tools
get_dataset_info~58 tokens
Dataset metadata: entry counts, generation timestamp, source, and licensing terms for bulk or training use.get_server~150 tokens
Get the full directory entry for one MCP server by id ('owner--repo', e.g. 'microsoft--playwright-mcp'). Includes install hint, license, stars, category, and editorial fields. Any install_hint is a best-effort guess from the repository language, not a verified command: relay the install_hint_caveatlist_categories~48 tokens
List all directory categories with slugs, names, and active-server counts.list_topics~109 tokens
List the curated GitHub topics that have a directory page, with active-server counts. Topics are assigned by repository owners and imported verbatim, so the full dataset carries thousands of them; this returns only the curated subset. search_servers accepts any topic string, curated or not.search_servers~349 tokens
Search the MCP server directory by keyword and/or filters. Keyword matches name, description, and GitHub topics. Returns active servers sorted by relevance then stars. Supply at least one of query, category, or topic — with no query, filters alone enumerate a whole category or topic by stars. Data r
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