audit-ledger-mcp
v0.3.1
io.github.shahidh68/audit-ledger-mcp
Record AI decisions to a tamper-evident audit ledger from any MCP-compatible agent.
共 17,673 个资源
v0.3.1
io.github.shahidh68/audit-ledger-mcp
Record AI decisions to a tamper-evident audit ledger from any MCP-compatible agent.
v1.0.1
io.github.wyre-technology/alternative-payments-mcp
MCP server for Alternative Payments — customers, invoices, payment requests, payouts, webhooks.
vmain
io.github.pascalorg/editor/review-architecture
Review a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.
v1.10.2
io.github.LamboPoewert/madeonsol
Solana memecoin intelligence: KOL trades, deployer reputation, token & wallet scoring
vmain
io.github.bitwarden/ios/testing-ios-code
Write tests, add test coverage, unit test, or add missing tests for Bitwarden iOS. Use when asked to "write tests", "add test coverage", "test this", "unit test", "add tests for", "missing tests", or when creating test files for new implementations.
v0.1.5
io.github.jolucashornung/live-translate-mcp
MCP server for local speech translation (EN ↔ 中文) via Whisper + Claude + Piper
v1.0.0
io.github.cx-anand-nandeshwar/dlp-mcp
The DLP MCP provides the compliance violation in the one drive, google drive documents.
vmain
io.github.camunda/camunda/frontend-feature
Use when creating new pages, components, modules, or features in the orchestration cluster webapp at webapp/client/apps/orchestration-cluster-webapp/. Use when adding routes, data loading, forms, API integration, or UI components. Trigger whenever someone is building or modifying frontend feature code in webapp/client/, even for small changes like adding a column, filter, or panel.
vmain
io.github.camunda/camunda/frontend-unit-test
Use when writing, modifying, or debugging unit tests in the orchestration cluster webapp at webapp/client/apps/orchestration-cluster-webapp/. Use when working with Vitest browser mode, MSW mocking, vitest-browser-react rendering, or any *.test.tsx file in the OC webapp's src/ directory. Trigger whenever someone needs to create, fix, or understand a frontend unit test in webapp/client/.
vmain
io.github.camunda/camunda/frontend-migrator
Use when migrating, porting, rewriting, or moving frontend code from operate/client/ or tasklist/client/ to the orchestration cluster webapp at webapp/client/apps/orchestration-cluster-webapp/. Trigger whenever someone mentions migrating a legacy page, component, or module to the new unified frontend, converting React Router to TanStack Router, replacing MobX stores with TanStack Query or URL state, rewriting styled-components as SCSS modules, or converting legacy test patterns to Vitest browser mode. Also use when someone asks how a legacy pattern maps to the new architecture, even for small questions like "how would I write this Operate component in the new app?" or "what's the equivalent of this Tasklist store in the unified frontend?"
v1.0.0
ai.calfeed/calfeed
Turn a written schedule into a live calendar link people subscribe to in Apple, Google, Outlook.
vbeta
io.github.TanStack/table/compose-with-tanstack-form
Editable cells for `@tanstack/react-table` v9 via `@tanstack/react-form`. The table is the layout primitive; the form owns editing state. Use `createFormHook` to register reusable field components (`TextField`, `NumberField`, `SelectField`), then in each column's `cell` return `<form.AppField name={`data[${row.index}].field`}>{(field) => <field.TextField />}</form.AppField>`. Critical typing gotcha: if your row has a recursive `subRows`, use `Omit<Row, 'subRows'>` for the form row type — TanStack Form's `DeepKeys` recurses and hits TS2589. Subscribe to `form.state.values.data.length` (not the whole array) for row add/remove re-renders.
vbeta
io.github.TanStack/table/client-to-server
Convert a client-side `@tanstack/react-table` v9 table to server-side (manual modes). Pass server-paginated/sorted/filtered rows as `data`, set `manualPagination` / `manualSorting` / `manualFiltering` / `manualGrouping` / `manualExpanding` for whatever the server now owns, supply `rowCount` so `getPageCount()` works, and DROP the matching `rowModels` entry (no `paginatedRowModel` if the server paginates). Own the relevant state slices via external atoms (`useCreateAtom` + `options.atoms`) so a query can key on the slice and refetch automatically — OR via classic `state` + `on*Change` controlled state.
vbeta
io.github.TanStack/table/production-readiness
Ship-ready optimizations for `@tanstack/react-table` v9: tree-shake the bundle by registering ONLY the `features` you actually use; memoize `features`, `data`, and `columns` for stable identity; replace `(state) => state` with narrow selectors or per-slice `useSelector(table.atoms.<slice>)` subscriptions; and push state-driven re-renders down the tree with `<table.Subscribe>` / `<Subscribe>` so the expensive table body doesn't re-render every time you toggle a sort indicator. Don't over-optimize small tables — the default selector + inline rendering is fine until measured perf demands more.
vbeta
io.github.TanStack/table/table-state
Wiring reactivity for `@tanstack/react-table` v9. Covers `useTable` (and its second-argument selector), reading state via `table.state` / `table.store` / `table.atoms.<slice>`, rendering with `table.FlexRender`, opting subtrees into fine-grained reactivity with `<table.Subscribe>` and the standalone `<Subscribe>`, owning slices with external atoms via `useCreateAtom` + `options.atoms`, and packaging shared config into a reusable hook with `createTableHook` (`useAppTable`, `createAppColumnHelper`, `table.AppTable` / `table.AppHeader` / `table.AppCell` / `table.AppFooter`). Routing keywords: useTable, useSelector, useCreateAtom, atoms, react-store, table.Subscribe, FlexRender.
vbeta
io.github.TanStack/table/compose-with-tanstack-devtools
Wire up TanStack Devtools for TanStack Table in React. Mount `TanStackDevtools` with `tableDevtoolsPlugin()` once at the app root and call `useTanStackTableDevtools(table)` after each `useTable` so the table is registered as a devtools target. Live devtools are tree-shaken to no-ops in production unless you import from `@tanstack/react-table-devtools/production`.
vbeta
io.github.TanStack/table/migrate-v8-to-v9
Mechanical breaking-change migration from `@tanstack/react-table` v8 to v9. Every v8-shaped option, type, or method an agent will reproduce from muscle memory has a v9 equivalent enumerated below: `useReactTable` → `useTable`, root `get*RowModel` options → `rowModels` with factory + *Fns parameter, `createColumnHelper<TData>` → `createColumnHelper<typeof features, TData>`, `table.getState()` → `table.state` / `table.store.state` / `table.atoms.X.get()`, `sortingFn` → `sortFn`, `enablePinning` → split, `_`-prefixed APIs unprefixed, `ColumnSizing` split into `columnSizingFeature` + `columnResizingFeature`. For incremental migration, `useLegacyTable` from `@tanstack/react-table/legacy` accepts the v8 API on the v9 engine — deprecated, larger bundle, no `table.Subscribe`. Long-term you migrate every table off it.
vbeta
io.github.TanStack/table/getting-started
End-to-end first-table journey for `@tanstack/react-table` v9. Install the React adapter, declare `features` via `tableFeatures()`, declare `rowModels` factories with their *Fns parameters (`createSortedRowModel(sortFns)` etc.), create a column helper with both `TFeatures` and `TData` generics, instantiate `useTable`, and render with `<table.FlexRender>`. New users land here, not on `useLegacyTable`.
vbeta
io.github.TanStack/table/compose-with-tanstack-virtual
`@tanstack/react-table` v9 does NOT include virtualization — pair with `@tanstack/react-virtual`. Standard row-virtualization pattern: get the row array from `table.getRowModel().rows`, feed `rows.length` to `useVirtualizer({ count, estimateSize, getScrollElement, ... })` in the DEEPEST possible component (a `TableBody`, NOT `App`), iterate `rowVirtualizer.getVirtualItems()` instead of `rows.map`, absolute-position each row with `transform: translateY(virtualRow.start)px`, and render `<tbody>` as a CSS grid with a fixed total height. Column virtualization uses `horizontal: true` plus padding-left/right placeholder cells. An experimental ref-mutation variant skips React reconciliation for ~10% extra perf but the standard pattern is the default.
vbeta
io.github.TanStack/table/compose-with-tanstack-store
`@tanstack/react-table` v9 is built on TanStack Store. Each state slice (sorting, pagination, rowSelection, columnFilters, …) is a separate atom. The table exposes three READ surfaces — `table.atoms.<slice>` (per-slice readonly), `table.store` (flat readonly view), `table.state` (selector output from `useTable`) — and two WRITE paths — internal `table.baseAtoms.<slice>` OR YOUR `options.atoms[slice]` if you opt to own the slice. Use `useCreateAtom` from `@tanstack/react-store` for stable identity, `useSelector` for fine-grained reads, and pass the atom in `options.atoms` so the table writes through it directly — no `on*Change` handler required.
vbeta
io.github.TanStack/table/compose-with-tanstack-query
Server-side / async data flow for `@tanstack/react-table` v9 with `@tanstack/react-query`. Canonical pattern: external pagination atom via `useCreateAtom<PaginationState>` + `options.atoms` (NOT `state + on*Change`), pagination object as part of `queryKey`, `manualPagination: true`, `placeholderData: keepPreviousData` to avoid the 0-rows flash, and `defaultData = useMemo(() => [], [])` to keep `data` reference stable between fetches. `rowCount` from the API response so `getPageCount()` works.
v0.1.2
io.github.purahmanian/flstudio-mcp-mac
macOS-first MCP bridge for FL Studio using CoreMIDI and FL Studio Python MIDI scripts.
v0.1.2
io.siteglass/mcp
Agent-driven web QA: scan a site, auto-generate + run E2E test flows, read results.
v0.32.1
io.github.1clawAI/1claw-mcp
HSM-backed vault secrets for AI agents (JIT fetch) plus prompt-injection and threat scanning.