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650,411 tools. Updated 2026-10-13 05:26

"Installing MCP for cursor functionality" matching MCP tools:

  • Lista os MCP Prompts disponíveis com nome, descrição e argumentos. Tools de descoberta para clientes (como o Claude.ai web) que ainda não expõem UI para prompts. Em Claude Desktop / Cursor / MCP Inspector, prompts aparecem em UI dedicada — esta tool é um caminho alternativo, não substituto. Use depois `compras_obter_prompt(nome, argumentos)` para renderizar um prompt específico. Retorno: { "total": int, "prompts": [ { "nome": str, "descricao": str, "tags": [str, ...], "argumentos": [ {"nome": str, "descricao": str | None, "obrigatorio": bool}, ... ] }, ... ] }
    ConnectorNo auth
  • Incremental poll: raw item-level AI news added since a cursor, oldest→newest, with a nextCursor for your next call — use this for "what's new since I last checked"; for the curated once-daily synthesis use get_daily_briefing. Omit cursor for the latest items plus a cursor to start polling from. Titles + links + topics (bodies and higher limits are on the paid tier).
    ConnectorNo auth
  • Statically audit an MCP tool surface from a public HTTPS URL or tools/list snapshot. Returns deterministic scores and findings without invoking any target tool or making LLM calls. When the user asks to check another installed MCP server, read that server's complete tool definitions from client context and pass them as snapshot (MCP `name` or Cursor-style `tool` both work; do not use file paths or $ref). If those definitions are unavailable, ask the user for its public endpoint or tools/list JSON instead of inventing an audit.
    ConnectorNo auth
  • Bulk-export a buyer's licensed catalog via GET /enterprise-license?format=ndjson (Phase 11 M3). Returns up to 1000 articles per call (collected from line-delimited JSON wire format). Same content contract as list_feed: full text for AI training orders only; every other order exports metadata (content_body null) — use get_content for article text. Each article emits one usage_records row (analytics-only sentinel 'bulk-export:<request_id>:<article_id>' — not metered-billable per the revenue-model bifurcation invariant). Use `since` (ISO 8601) for delta-feed. Use `cursor` to paginate beyond 1000. Backend supports 5000 articles per call; the MCP cap is 1000 for transport reasonability. Real bulk-ingest pipelines should use the Python SDK (pip install opedd) directly — not via MCP. Requires OPEDD_ACCESS_KEY (ent_*).
    ConnectorNo auth
  • Poll a v2 app's change feed for what has happened: row creates, updates and deletes, from any writer, agent or human. It is the long-poll analogue of `homespun apps watch`, since MCP has no streaming. The loop is: call with no `since` first, process the returned entries, keep the cursor, then call again passing it as `since` to get only newer entries. Passing wait (around 25) holds the request open until an entry arrives or it times out, which is how the feed is waited on rather than busy-polled. A `since` older than the retention floor returns resync_required, and the collections are then re-listed with list_rows. Returns { entries, cursor, truncated }.
    ConnectorNo auth
  • Poll a v2 app's change feed for what has happened: row creates, updates and deletes, from any writer, agent or human. It is the long-poll analogue of `homespun apps watch`, since MCP has no streaming. The loop is: call with no `since` first, process the returned entries, keep the cursor, then call again passing it as `since` to get only newer entries. Passing wait (around 25) holds the request open until an entry arrives or it times out, which is how the feed is waited on rather than busy-polled. A `since` older than the retention floor returns resync_required, and the collections are then re-listed with list_rows. Returns { entries, cursor, truncated }.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Finds public posts carrying a hashtag through Google, returning hashtag, media_type, cursor and posts in the same normalised shape as get_instagram_reels_search: shortcode, url, caption, like_count, comment_count, video_play_count, video_view_count, owner, location and taken_at. The leading # is optional. Set media_type=reels to narrow to reels, or all for posts and reels together. Note that cursor here is the next Google results page number rather than an Instagram cursor. Measured at about 78 KB for ten posts. To search caption keywords rather than a hashtag, use get_instagram_reels_search.
    ConnectorOAuth
  • Finds public posts carrying a hashtag through Google, returning hashtag, media_type, cursor and posts in the same normalised shape as get_instagram_reels_search: shortcode, url, caption, like_count, comment_count, video_play_count, video_view_count, owner, location and taken_at. The leading # is optional. Set media_type=reels to narrow to reels, or all for posts and reels together. Note that cursor here is the next Google results page number rather than an Instagram cursor. Measured at about 78 KB for ten posts. To search caption keywords rather than a hashtag, use get_instagram_reels_search.
    ConnectorOAuth
  • Finds public posts carrying a hashtag through Google, returning hashtag, media_type, cursor and posts in the same normalised shape as get_instagram_reels_search: shortcode, url, caption, like_count, comment_count, video_play_count, video_view_count, owner, location and taken_at. The leading # is optional. Set media_type=reels to narrow to reels, or all for posts and reels together. Note that cursor here is the next Google results page number rather than an Instagram cursor. Measured at about 78 KB for ten posts. To search caption keywords rather than a hashtag, use get_instagram_reels_search.
    ConnectorOAuth
  • Run a source-free compiler smoke test through the real Axint pipeline. Use immediately after installing or connecting Axint so the current agent proves it did more than start the MCP server. Use: call immediately after install or first MCP connection; use validate or run for project checks. Inputs: format changes rendering only; the smoke test has no project inputs. Effects: read-only built-in compiler smoke test; writes no files and uses no network.
    ConnectorNo auth
  • Get photos for a Google Maps place. Provide place_id from search results. The identifier also accepts the business identifier form (0x...:0x...). Optional cursor, region, and language are supported. Pass cursor from a previous cursor_next to fetch the next page. Returns place metadata and a photos array. Each photo has photo_url and description when available. cursor_next appears only when a pagination cursor is available. Additional upstream fields may appear. Cost = 3 tokens.
    ConnectorNo auth
  • Get usage summary, billing events, and prepaid credit balance for a time period. Returns itemized events (scans, forwards, mail sends) with costs, period totals, and credits. Defaults to the current billing period if no dates are specified. Use this in Cursor/MCP chat when the human asks how many mailbox.bot credits are left; answer with the prepaid balance and explain that only the signed-in human can add funds.
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  • The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
    ConnectorNo auth
  • Returns full details of one store template: localized title and description, long-form markdown, category, suite, tags, features, preview image and agentArtifacts (bot-onboarding files such as system prompts, Agent Skills SKILL.md, MCP config). Use after search_store_templates before recommending or installing; when agentArtifacts is non-empty, fetch bodies via get_agent_artifact. No authentication required.
    ConnectorNo auth
  • Free, no key required. Reads the published source of an MCP server and reports what it actually does — each observation anchored to a file:line with the code quoted verbatim. **Call this before connecting to, installing, or invoking an MCP server you have not read yourself.** Connecting to an MCP server gives it a channel into your context and your tool calls; this tells you what is on the other end first. Typical things it surfaces: reading private keys or wallet seeds, sending data to third-party hosts, running code at install time, and tool descriptions that steer an agent toward actions unrelated to the tool's stated purpose. Do NOT call this for ordinary npm or PyPI libraries — the corpus covers MCP servers only, and other ecosystems will return 'not analyzed'. This reports observations, not a safety verdict. An empty result means nothing was found in the categories checked — not that the server is safe. Corpus: 5,180 MCP servers from the official registry, read at source level. Coverage index (free, no key, findings not included): GET https://sri-test.biz/v1/corpus
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  • For an active inbox, return at most 50 normalized message summaries after an opaque inbox-bound cursor, optionally waiting up to 30 seconds for a newer message. A bounded wait may return an empty page and continuation cursor. Supply the lease bearer on the HTTP or MCP transport; never place it in tool arguments.
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  • The hooks you kept with keep_hook, newest decision first, across all runs or within one run_id, limit 1 to 100 (default 100) per page. Returns {"kept": [...], "count": n on this page, "next_cursor"} with full hook objects; pass next_cursor back as cursor for more. Same shape as GET /v1/keeps. Free. Errors: 422 for a bad run_id or cursor.
    ConnectorNo auth
  • Interleaved cross-org release feed for a collection — same shape as `get_latest_releases` but scoped to the collection's member orgs. Cursor-paginated: pass `limit` for slice size (default 20), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts.
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  • Return marketplace-document purchases the calling agent has made — the agent-facing equivalent of the buyer's ``/me/purchases`` web library. Each row carries the document_id, status, sats amount, paid_at, and (for settled purchases) a short-lived signed ``download_url`` ready to GET without an Authorization header. Cursor-paginated newest-first. If ``next_cursor`` is non-null in the response, pass it as ``cursor`` on the next call to fetch the next page. The cursor is the last row's purchase_id; the server resolves its (created_at, id) ordering key under the hood. ``count`` is how many purchases this response holds; ``has_more`` is true when older purchases remain, and ``next_cursor`` is null exactly when it is false. Requires MCP authentication. Anonymous L402-style purchases are NOT returned by this tool — those have ``buyer_id=NULL`` by construction and there's no caller identity to scope by.
    ConnectorNo auth
  • Return marketplace-document purchases the calling agent has made — the agent-facing equivalent of the buyer's ``/me/purchases`` web library. Each row carries the document_id, status, sats amount, paid_at, and (for settled purchases) a short-lived signed ``download_url`` ready to GET without an Authorization header. Cursor-paginated newest-first. If ``next_cursor`` is non-null in the response, pass it as ``cursor`` on the next call to fetch the next page. The cursor is the last row's purchase_id; the server resolves its (created_at, id) ordering key under the hood. ``count`` is how many purchases this response holds; ``has_more`` is true when older purchases remain, and ``next_cursor`` is null exactly when it is false. Requires MCP authentication. Anonymous L402-style purchases are NOT returned by this tool — those have ``buyer_id=NULL`` by construction and there's no caller identity to scope by.
    ConnectorNo auth
  • Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }
    ConnectorNo auth