smry MCP MCP server

The smry MCP server enables agents to read public sources such as articles, PDFs, and YouTube videos, converting them into clean text with stable paragraph citations. It also provides authenticated access to manage a user's private library, including notes, highlights, feeds, files, and page monitors, supporting tasks like summarization, fact extraction, and content monitoring.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by smry

MCP endpoint (Streamable HTTP)

https://api.smry.ai/mcp

Vendor documentation

What you can do with it

Read and summarize public articles or PDFs
Extract facts and quotes with stable paragraph citations
Manage private library, notes, and highlights
Monitor specific web pages for changes

Tools advertised by the last live check:

get_article
search_article
search_web
open_web_pages
search_feeds
list_library_objects
get_library_object
get_library_asset
list_library
get_library_changes
get_saved_article
search_saved_item
save_content
save_article
update_library_item
bulk_update_library_items
remove_library_item
manage_collections
query_feeds
manage_feed_filter
discover_feed_inputs
follow_feeds
create_news_query
set_feed_feedback
get_feed_changes
mutate_feeds
create_monitor
manage_feed_consumers

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http smry-mcp https://api.smry.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add smry-mcp --url https://api.smry.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable smry-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "smry-mcp": {
      "url": "https://api.smry.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "smry-mcp": {
      "type": "streamableHttp",
      "url": "https://api.smry.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start smry-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "smry-mcp": {
      "type": "http",
      "url": "https://api.smry.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http smry-mcp https://api.smry.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "smry-mcp": {
      "url": "https://api.smry.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "smry-mcp": {
      "serverUrl": "https://api.smry.ai/mcp"
    }
  }
}

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