smry Product is a remote MCP server that gives an AI agent 28 tools, among them bulk_update_library_items, create_monitor, create_news_query. It answers at https://api.smry.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Read public sources and manage a smry library, feeds, notes, highlights, files, and page monitors.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
bulk_update_library_items | Atomically move, tag, mark read, update progress, or correct classification for up to 100 library items. Inputs: ids, status, starred, tags, read_progress, mark_read |
create_monitor | Create a scheduled web-change monitor whose detected changes arrive as an ordinary followed source — query, watch, and mutate it like any feed. Naming a collection that does not exist creates it. Active monitor limits are Free 3, Patron 10, Inputs: name, target, collection, change_detection, schedule, tags |
create_news_query | Creates a Collection-compatible news query. Google News RSS is the current adapter and is intentionally hidden behind this durable product type. Example: {"query":"open source databases","collection":"Research"} Inputs: query, locale, collection |
discover_feed_inputs | Find public feeds by topic or find a site's published feeds. This is the compact Developer API discovery adapter; use search_feeds for language, ranking, and source-type controls. Discovery does not subscribe; pass result feedUrl values to Inputs: query, mode |
follow_feeds | Follow up to 20 feed or site URLs in one call. Site URLs are resolved to their published feed. Naming a collection that does not exist creates it. Returns a per-URL outcome — partial success is normal and legible, never all-or-nothing. Exam Inputs: urls, collection |
get_article | Fetch clean, source-grounded text for a public article or YouTube URL, budgeted to a token limit and addressable by paragraph anchor. Returns an outline of headings (empty when the source has none), the requested window, and a next_cursor w Inputs: url, max_tokens, cursor |
get_feed_changes | One stream, two checkpoint owners. Stateful callers pass cursor:"latest", then store each next_cursor themselves; that first call only establishes the checkpoint and returns no events, so poll again with the returned next_cursor. Stateless Inputs: cursor, consumer_id, limit, where, fields, attention_limit |
get_library_asset | Return an authenticated MCP resource link for an item's original file. Set include_data=true to show images or audio inline, or embed another file up to 8 MiB. Larger originals remain readable through the streaming Developer API byte-range Inputs: id, include_data |
get_library_changes | Read the append-only library change stream, including deletions. For a race-free first sync, call once with cursor=latest, list the library, then continue from the returned nextCursor. Inputs: cursor, limit |
get_library_object | Read one object returned by list_library_objects. Item text and note/highlight bodies are bounded; item asset metadata includes the MCP resource URI for original bytes. Inputs: ref, content_max_characters |
get_saved_article | Read one library item by id. Stored article text is token-budgeted and supports a paragraph cursor so long documents never flood the agent context. Inputs: id, include_content, max_tokens, cursor |
list_library | Search this account's articles, websites, books, emails, PDFs, social posts, videos, podcast episodes, and documents. For a normal text search, pass only query and limit. "Triage my inbox" is {"status":"inbox","limit":10}; "saved this week" Inputs: cursor, limit, query, tag, status, starred |
list_library_objects | Search and paginate across the account's saved items, standalone notes, and highlights through one corpus. Uses the same Postgres matching as the app and REST API; approximate=true identifies spelling recovery. Returns stable refs for get_l Inputs: query, types, cursor, limit |
manage_collections | list: Returns the same owner-scoped Collections shown in /feeds, including canonical filter state and revision. Required fields: none. Example: {"action":"list"} create: Creates the same named Collection used by the production /feeds UI. Re Inputs: action, name, source_ids, id |
manage_feed_consumers | create: Save a where predicate and let smry retain one processing checkpoint. New consumers start at the current high-water mark, so they receive future discoveries rather than replaying history. For history, create the Consumer first, quer Inputs: action, name, where, id, cursor |
manage_feed_filter | preview: Classifies a bounded recent sample and returns both binary decisions, uncertainty counts, reasons, and degradation status. Save with applyFeedFilter using this preview token and Collection revision. Required fields: collection, fil Inputs: action, collection, filter, previewToken, expectedRevision |
mutate_feeds | Preview changes to matching sources, entries, or collections. Default dry_run:true returns would_affect, sample, and commit_token without changing them. Commit by sending the same op and commit_token; retries replay the recorded result. Exp Inputs: op, where, set, dry_run, commit_token |
open_web_pages | Open up to four public pages and return clean Markdown evidence. Use a focused context to extract only what is relevant, or omit it to read the page directly. Inputs: pages |
query_feeds | Read followed feeds. "What's new?" is {"since":"1d"} (or "7d"): newest published first, one line per entry with format:"compact". Every other argument is optional; add where.collection (name or id), where.source.include/exclude (title or id Inputs: since, select, where, limit, cursor, per_source_limit |
remove_library_item | Remove one item from this account's library. Web sources are unaffected. For an uploaded file, its original, extracted text, and synced local copies are permanently deleted; highlights and notes are kept. Inputs: id |
save_article | Securely extract a public URL and idempotently add it to the account's library. Returns alreadySaved=true for a duplicate and reports hard paywalls instead of claiming success. Inputs: url, status, starred, tags |
save_content | Save supplied source text without fetching a public URL. Use external_id for retry-safe creates; content_kind can correct automatic classification. Inputs: url, title, content, author, published_at, status |
search_article | Read a public article or YouTube URL and return only the passages relevant to your query, each anchored to its paragraph and labelled with the section it sits under. Use this instead of get_article whenever you have a specific question abou Inputs: url, query, max_tokens, max_passages, cursor |
search_feeds | Use the same discovery catalog and ranking as smry's Discover feeds page. Browse suggested sources with no query; search websites, RSS, Atom, podcasts, Reddit, and YouTube by topic; create a focused Google News source; or discover every fee Inputs: query, mode, language, sort, limit |
search_saved_item | Return only the stored passages relevant to a question about one library item. Use after list_library instead of reading a long book, PDF, email, transcript, or document from the beginning. Inputs: id, query, max_tokens, max_passages, cursor |
search_web | Discover current public sources with up to four focused searches. Search snippets are discovery aids; open the strongest pages before citing substantive claims. Inputs: queries, max_results |
set_feed_feedback | Less like this hides an included entry. Feedback remains separate agent context and never silently revises the Collection filter. Example: {"entryId":42,"value":"less_like_this"} Inputs: entryId, value |
update_library_item | Move, tag, mark read, update progress, or correct the classification of one library item. Inputs: id, status, starred, tags, read_progress, mark_read |
Every block below points at https://api.smry.ai/mcp. Pick your client and copy.
claude mcp add --transport http smry-product https://api.smry.ai/mcp
{
"mcpServers": {
"smry-product": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.smry.ai/mcp"]
}
}
}{
"mcpServers": {
"smry-product": {
"url": "https://api.smry.ai/mcp"
}
}
}{
"servers": {
"smry-product": {
"type": "http",
"url": "https://api.smry.ai/mcp"
}
}
}{
"context_servers": {
"smry-product": {
"url": "https://api.smry.ai/mcp"
}
}
}{
"mcpServers": {
"smry-product": {
"serverUrl": "https://api.smry.ai/mcp"
}
}
}{
"mcpServers": {
"smry-product": {
"url": "https://api.smry.ai/mcp"
}
}
}name: smry Product
version: 0.0.1
schema: v1
mcpServers:
- name: smry Product
type: streamable-http
url: https://api.smry.ai/mcp{
"mcpServers": {
"smry-product": {
"httpUrl": "https://api.smry.ai/mcp"
}
}
}{
"mcpServers": {
"smry-product": {
"type": "http",
"url": "https://api.smry.ai/mcp"
}
}
}{
"mcpServers": {
"smry-product": {
"url": "https://api.smry.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.smry.ai%2Fmcp&type=streamable_http&id=smry-product&name=smry%20Product
It answered our last check on 17 October 2026 in 299 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by smry.ai and served from api.smry.ai, the vendor's own domain: https://api.smry.ai/mcp.
28, as returned by the server's own tools/list on 8 September 2026: bulk_update_library_items, create_monitor, create_news_query, discover_feed_inputs, follow_feeds, get_article, get_feed_changes, get_library_asset, and 20 more.
It answered our last check on 17 October 2026 in 299 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.smry.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.smry.r. Endpoint host: api.smry.ai. ARD identifier: urn:air:ai.smry.r:mcp:smry-product.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.