Estuary Flow MCP by usefulapi

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://estuary-flow.usefulapi.io/mcp

claude mcp add --transport http estuary-flow https://estuary-flow.usefulapi.io/mcp

{
  "mcpServers": {
    "estuary-flow": {
      "url": "https://estuary-flow.usefulapi.io/mcp"
    }
  }
}

{
  "servers": {
    "estuary-flow": {
      "type": "http",
      "url": "https://estuary-flow.usefulapi.io/mcp"
    }
  }
}

https://estuary-flow.usefulapi.io/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• estuary_list_catalog

  List live catalog entities (captures, collections, materializations, tests) the user can read, with connector + last-publication metadata. Optionally filter by a catalog-name prefix and spec_type. Estuary control-plane view live_specs_ext. PostgREST: GET /live_specs_ext.

• estuary_get_catalog_spec

  Get one live catalog entity by its exact catalog_name, including the full serialized `spec` and compiled `built_spec`. Estuary control-plane view live_specs_ext. PostgREST: GET /live_specs_ext?catalog_name=eq. &limit=1.

• estuary_get_catalog_stats

  Get usage/throughput stats for one catalog entity — bytes & docs read/written (both directions), usage_seconds, warnings/errors/failures, and txn_count — per time grain. Optionally bound by a timestamp range. Estuary control-plane view catalog_stats. PostgREST: GET /catalog_stats

• estuary_list_connectors

  List the connector catalog — available capture/materialization Docker connectors, with titles, descriptions, and logos. Optionally filter to recommended connectors. Estuary control-plane table connectors. PostgREST: GET /connectors.

• estuary_list_connector_versions

  List available versions (image tags) of connectors, with protocol and documentation URL. Optionally filter by connector_id. Estuary control-plane table connector_tags. PostgREST: GET /connector_tags.

• estuary_list_drafts

  List the user's draft workspaces (staging areas for catalog edits before publishing). Estuary control-plane table drafts. PostgREST: GET /drafts.

• estuary_list_draft_specs

  List the staged spec entries within a draft (each an insert/replace of a catalog entity pending publication). Estuary control-plane table draft_specs. PostgREST: GET /draft_specs.

• estuary_list_publications

  List publication history/status — each publish attempt of a draft; job_status carries the queued/success/failed outcome. Estuary control-plane table publications. PostgREST: GET /publications.

• estuary_list_discovers

  List connector discovery jobs (auto-detecting bindings/resources for a capture). Estuary control-plane table discovers. PostgREST: GET /discovers.

• estuary_list_roles

  List the roles/capabilities the current credential is granted — which catalog prefixes it can read/write/admin. Read-only RPC. Estuary control-plane: POST /rpc/auth_roles.

• estuary_get_tenant

  Get the user's tenant(s) — quotas (tasks/collections), billing tiers, recurring charge, trial start, and payment provider. Estuary control-plane table tenants. PostgREST: GET /tenants.

• estuary_view_task_logs

  Fetch the log lines for a job by its logs_token (a UUID found on a publication, discover, or connector-tag record). Optionally page from a last-seen timestamp. Read-only RPC. Estuary control-plane: POST /rpc/view_logs.

• estuary_create_draft

  WRITE: create a new empty draft workspace (a staging area for catalog changes; does not affect live pipelines). Estuary control-plane: POST /drafts. Returns the created row.

• estuary_upsert_draft_spec

  WRITE: stage (insert or replace) a catalog spec inside a draft. Edits only the draft — live pipelines are unaffected until the draft is published. Estuary control-plane: POST /draft_specs (upsert on draft_id,catalog_name). Returns the staged row.

• estuary_publish_draft

  WRITE (DESTRUCTIVE when dry_run=false): publish a draft. dry_run=true (default) only VALIDATES the draft without changing anything. dry_run=false APPLIES the draft to the LIVE catalog — this can create, modify, or DELETE running data pipelines and their data. Set dry_run=false on

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

• ✓ 通过

  作者与仓库一致

  注册名称已通过域名 usefulapi.io 验证（注册中心会核实域名所有权）

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 10 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 15 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 32476 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 32476 个服务器的 99% 更新
• 基础检查结果等于或优于此分类中其他 32476 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

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