实测可用AI 和智能体
tlly
Hosted dashboards and scheduled data jobs for AI agents, with thresholds, alerts and share links.
https://tlly.dev/mcpclaude mcp add --transport http tlly https://tlly.dev/mcpCursor 等客户端的配置
{
"mcpServers": {
"tlly": {
"type": "http",
"url": "https://tlly.dev/mcp"
}
}
}要注意
有会改数据的工具:15 个
服务方自己把这些工具标成了会删除或改写数据(destructiveHint),让智能体调用前先问你。
- 测试结果
- 实测可用:握手成功
- 工具
- 30 个工具
- 握手用时
- 1.5 秒
- 传输方式
- streamable-http · 2025-06-18
- 测试时间
- 2026 年 11 月 6 日
- 官方目录名称
dev.tlly/tllyv1.0.0- 登记于
- 2026 年 10 月 30 日
- 更新于
- 2026 年 10 月 30 日
- 网站
- tlly.dev
最近 1 次测试
| 时间 | 结果 | 用时 |
|---|---|---|
| 2026-11-06 12:23 UTC | 握手成功 | 1.5 秒 |
它列出的 30 个工具
“只读”和“会改数据”是服务方自己标的。带下划线的参数是必填的。
add_annotations会改数据Add chart annotations
Attach short dated notes to a series (e.g. 'Policy rate raised to 4.5%'); shown as markers on charts. Single-line plain text, max 280 chars; one note per date (re-adding replaces it); each counts as one data point.
annotationsseriescreate_dashboardCreate dashboard
Create a hosted dashboard; returns its public URL. Dashboard spec: {"title": str, "description"?: str, "range"?: "1m"|"3m"|"6m"|"ytd"|"1y"|"2y"|"5y"|"10y"|"max", "theme"?: "auto"|"light"|"dark" (default mode; auto follows the viewer's system and viewers can switch), "layout"?: "auto"|"overview"|"detail" (only the default for panels without "display": overview makes them tiles, detail makes them charts, auto makes them tiles above 8 panels), "visibility"?: "public"|"private" (default public: anyone with the link; private: only members of this account signed in to tlly.dev, so embeds and shared links stop working for others), "panels": [{"title"?: str, "series": "name" | ["a","b"], "type"?: "line"|"area"|"bar"|"stat"|"gauge"|"bargauge"|"pie"|"heatmap"|"table", "unit"?: str, "note"?: str, "stale_after_days"?: num, "thresholds"?: {"red_above"?, "yellow_above"?, "yellow_below"?, "red_below"?}, "range"?: (as above, overrides the dashboard's), "section"?: str (starts a new titled section at t
speccreate_job会改数据Create scheduled job
Schedule a fetch job. It runs once immediately and the result is returned. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "
namespecdefine_derived会改数据Define derived series
Create or replace a derived series, computed from other series every time it is read (always fresh, stores no points, counts toward the series limit). definition: {"op":"add"|"subtract"|"multiply"|"divide","a":series,"b":series} (matched by date) | {"op":"pct_change"|"diff"|"moving_average"|"rolling_min"|"rolling_max"|"shift","a":series,"n"?:1-1000} (shift: the value n points earlier) | {"op":"scale","a":series,"factor":number} | {"op":"resample","a":series,"to":"M"|"Q","how"?:"last"|"mean"|"sum"|"ffill"} (to month/quarter ends; ffill also fills gaps up to today) | {"op":"mean"|"sum","inputs":[2-20 series]} (dates all inputs have) | {"op":"status","a":series,"red"?:[rule],"yellow"?:[rule]} → text labels red/yellow/green (red if any red rule holds, else yellow if any yellow rule, else green); rule: {"series"?:name (default a; read as of each date of a),"above"|"below":number,"for"?:1-24 (holds for the last k points)} or {"all":[2-10 rules]}; at most 10 rules | {"op":"composite","inputs"
definitionseriesdelete_annotations会改数据Delete chart annotations
Delete annotations of a series on the given dates, or all of them if dates is omitted.
datesseriesdelete_dashboard会改数据Delete dashboard
Delete a dashboard (series data is kept).
dashboard_iddelete_job会改数据Delete job
Delete a job (its series data is kept).
job_iddelete_series会改数据Delete series data
Delete all points of a series, or remove a derived series' definition.
seriesget_integration_skill只读Read integration playbook
Read one integration playbook by id: what to track, the minimum credential and scopes, the exact tlly job, and gotchas. google-sheets and json-api also return a template field (Make a copy, public CSV, downloads). Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx. Public: no API key required. Call this before inventing an API URL or scope.
idget_series只读Read series points
Read the latest points of a series.
limitseriesget_status只读Workspace health check
Health check: failing jobs, stale or empty panels, dashboards, storage usage. Call this to verify everything works.
get_usage只读Storage usage
Storage usage against quotas (data points = values + annotations, series, dashboards, jobs) and the largest series. Check before large writes.
import_once会改数据Import data once
Fetch a job spec once and save the result, without scheduling it or using a job slot ("cron" is optional and ignored). Use for one-off dashboards whose data doesn't need to update; points count toward the data quota. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial
speclist_annotations只读List chart annotations
Read the latest annotations of a series.
limitserieslist_dashboard_versions只读List dashboard versions
List a dashboard's saved versions (newest first) with which one is live and a members-only preview URL for each.
dashboard_idlist_dashboards只读List dashboards
List dashboards with their URLs.
list_integration_skills只读List integration playbooks
List integration setup playbooks (Stripe, Shopify, Sheets, and the other sources tlly can read). A spreadsheet starts from the KPI template. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx. Public: no API key required.
list_jobs只读List jobs
List scheduled fetch jobs with their last run status and any error message.
list_secrets只读List secret names
List the names of the workspace's stored secrets (API keys for private sources) and the host each may be sent to. Use one in a job's url, headers or body as {{secret:NAME}}.
list_series只读List series
List all series with their type (number or text), point counts and date ranges; text series also list their values.
publish_dashboard_versionPublish dashboard version
Make a saved version of a dashboard the live one (also to roll back). The dashboard keeps its URL and visibility.
dashboard_idversionpush_points会改数据Write series points
Write dated values to a series (upsert by date). Use when you compute data yourself. Values are numbers, or short text labels for a text series (e.g. a rating or stance; see Data policy). A series' first write fixes its type.
pointsseriesrotate_dashboard_url会改数据Rotate dashboard URL
Give a dashboard a new public URL and disable the old one at once (e.g. if a link leaked). Spec and data are unchanged.
dashboard_idrun_job_now会改数据Run job now
Run a scheduled fetch job immediately, store any new points, and return the run result.
job_idset_alert_webhook会改数据Set alert webhook URL
Set or clear the workspace webhook URL for job-failure and dashboard status alerts (pass an empty url to clear). When events fire, tlly POSTs JSON to that URL (Slack and Discord incoming webhooks get a short text payload instead). Events include job_failed, status_changed (keep panel "id" fields in specs so alerts stay attached), and threshold_crossed. Email alerts work without a webhook. Caps: 12 emails and 60 webhooks per account per hour; the same panel is not alerted twice within an hour.
urlset_panel_alert会改数据Configure panel alerts
Set when one dashboard panel sends alert email and/or a webhook (colour change, threshold cross, or off). trigger: change (default), red, notgreen, above, below, or off; above/below need limit. notify: both, email, or webhook. panel is the 0-based index in the live spec. Saving can send immediately if a limit was just crossed (unless this panel alerted within the last hour). Later sends happen after scheduled fetches. Default change+both removes a custom rule. Does not change colour lines or save a dashboard version.
dashboard_idlimitnotifypaneltriggerset_stale_alert会改数据Configure stale-data alerts
Configure when tlly sends stale-data alert email and webhooks because a series stopped updating. after: auto (from the job schedule and point spacing, at least two days), off, hours, or a window like 48h or 7d. Use dashboard_id for every series on a dashboard, series for one series, or both for one series on one dashboard. One email and one webhook when it goes quiet; another when a newer point arrives. Counts toward the hourly caps.
afterdashboard_idseriestest_job只读Preview a fetch job
Dry-run a job spec: fetch, extract and transform, return a preview. Saves nothing. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "f
specupdate_dashboardUpdate dashboard
Replace a dashboard's spec (URL stays the same). Every update is saved as a numbered version. With "draft": true it is saved without going live: viewers keep seeing the live version, members can preview the draft at the returned preview_url, and publish_dashboard_version makes it live. Use drafts for larger changes and publish when the user confirms. Dashboard spec: {"title": str, "description"?: str, "range"?: "1m"|"3m"|"6m"|"ytd"|"1y"|"2y"|"5y"|"10y"|"max", "theme"?: "auto"|"light"|"dark" (default mode; auto follows the viewer's system and viewers can switch), "layout"?: "auto"|"overview"|"detail" (only the default for panels without "display": overview makes them tiles, detail makes them charts, auto makes them tiles above 8 panels), "visibility"?: "public"|"private" (default public: anyone with the link; private: only members of this account signed in to tlly.dev, so embeds and shared links stop working for others), "panels": [{"title"?: str, "series": "name" | ["a","b"], "type"?:
dashboard_iddraftnotereplace_thresholdsspecupdate_job会改数据Update scheduled job
Replace a job's spec, or pause it with enabled=false. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "value": "field", "val
enabledjob_idspec
测试只做握手和列出工具,没有调用任何工具。名称和说明是登记的人写的,原样展示,我们没有核实。