"How to create a table in React" matching MCP tools:

• check_compatibility

  DepScope

  Is this specific multi-package version combo verified to work together? USE WHEN: pinning a stack (next@15 + react@19 + node@22); before recommending a version matrix. RETURNS: {compatible, conflicts[], notes}.

  Connector

• create_aggregation_view

  mcp-server

  Creates a materialized view or stored procedure in the project's BigQuery data warehouse for data pre-aggregation. **When to use this tool:** - When the user needs to pre-aggregate data from multiple connectors (e.g., cross-channel marketing report) - When a query is too slow to run on-demand and benefits from materialization - When the user asks to "create a view", "save this as a table", "materialize this query" **Naming rules (enforced):** - Target dataset MUST be 'quanti_agg' (created automatically if it doesn't exist) - Object name MUST start with 'llm_' prefix (e.g., llm_weekly_spend) - Format: CREATE MATERIALIZED VIEW quanti_agg.llm_name AS SELECT ... **SQL format:** - CREATE MATERIALIZED VIEW: for pre-computed aggregation tables - CREATE OR REPLACE MATERIALIZED VIEW: to update an existing view - CREATE PROCEDURE: for complex multi-step transformations **Example:** CREATE MATERIALIZED VIEW quanti_agg.llm_weekly_channel_spend AS SELECT DATE_TRUNC(date, WEEK) as week, channel, SUM(spend) as total_spend FROM prod_google_ads_v2.campaign_stats GROUP BY 1, 2 **Limits:** Maximum 20 active aggregation views per project.

  Connector

• create_surface

  Dock

  Create a new surface (tab) inside a workspace. `kind` picks `table`, `doc`, or `html`. Optional `slug` (lowercase kebab-case, 3-64 chars); when omitted the server slugifies `name` and appends a numeric suffix on collision. Optional `columns` overrides the default Title/Status/Notes triple for `table` kinds; ignored for `doc` and `html`. `html` surfaces start with an empty body — write content via `update_html`. Editor role required. Emits `surface.created` so live listeners on the workspace stream see the new tab without a refetch.

  Connector

• get_workspace_schema

  Dock

  Return a table surface's column definitions so an agent knows what keys create_row/update_row will accept. Each column has `key` (the field name in row.data), `label` (human-readable), `type` (text | longtext | url | status | owner | date | number), `position`, and, for status/owner columns, the allowed `options`. Empty array on doc-only workspaces; callers should still be able to write rows (columns auto-seed on first write). Multi-surface workspaces accept `surface_slug` to scope to a specific table sheet (use `list_surfaces` to enumerate); omit to fall through to the workspace's primary table surface.

  Connector

• data_profile

  ThinAir Data

  FULL data quality + compliance report for a table: per-column stats PLUS a 0-100 health score, type-gated PII detection (email / phone / SSN / etc.), and insight warnings. Slower than `analyze_table` but returns everything needed to audit a table for ownership / compliance / onboarding. Use this when the user says 'profile' or 'quality report' or mentions PII/compliance. [BUILD tier]

  Connector

• add_column

  Dock

  Append a single column to a workspace's table schema. Position is auto-computed as next-after-max so the contiguity invariant holds. Key collision (409) if a column with the same key already exists. Editor role required. Use this for per-column additions; use get_workspace_schema + update_workspace_columns (PUT on /columns) for full schema replacement or reordering. Multi-surface workspaces accept `surface_slug` to target a specific table sheet (use `list_surfaces` to enumerate); omit to fall through to the workspace's primary table surface.

  Connector

• get_project_context

  main

  Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.

  Connector

• get_i18n_library_docs

  main

  Retrieves authoritative documentation for i18n libraries (currently react-intl). ## When to Use **Called during i18n_checklist Steps 7-10.** The checklist tool will tell you when you need i18n library documentation. Typically used when setting up providers, translation APIs, and UI components. If you're implementing i18n: Let the checklist guide you. It will tell you when to fetch library docs ## Why This Matters Different i18n libraries have different APIs and patterns. Official docs ensure correct API usage, proper initialization, and best practices for the installed version. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" 2. **Reading** - Call with action="read" and section_id **Parameters:** - library: Currently only "react-intl" supported - version: Use "latest" - action: "index" or "read" - section_id: Required for action="read" **Example:** ``` get_i18n_library_docs(library="react-intl", action="index") get_i18n_library_docs(library="react-intl", action="read", section_id="0:3") ``` ## What You Get - **Index**: Available documentation sections - **Read**: Full API references and usage examples

  Connector

• create_funnel

  convalytics

  Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.

  Connector

• list_rows

  Dock

  List rows in a workspace's table surface. Returns rows with their data (a JSON object of column-name to value), creation time, the principal who created/updated each row, AND the row's `surface_slug` (the sheet it lives on). Empty array if no rows have been added yet. Multi-surface workspaces: pass `surface_slug` to scope to one sheet; omit to return rows from every surface in the workspace (back-compat: pre-multi-surface clients keep working).

  Connector

• get_workspace

  Dock

  Get details about a specific workspace by its slug, including columns of its primary table surface, member count, and row count. A workspace contains one or more surfaces (tabs): any combination of `table` (rows + columns) and `doc` (TipTap body) kinds, one or many of either. Use `list_surfaces` to enumerate every tab; fetch /rows or /doc to read or write a specific one.

  Connector

• audit_github_repo

  Commit — Supply Chain Risk Scoring

  Audit the supply chain risk of a GitHub repository's dependencies. Fetches the repo's package.json and/or requirements.txt from GitHub and runs behavioral commitment scoring on every dependency. This is the fastest way to audit a project — just provide the GitHub URL or owner/repo slug, and get a full risk table in seconds. Risk flags: - CRITICAL: single publisher/maintainer/owner + >10M weekly downloads (publish-access concentration risk) - HIGH: sole publisher/maintainer + >1M/wk downloads, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) Examples: - "vercel/next.js" — audit Next.js dependencies - "https://github.com/langchain-ai/langchainjs" — audit LangChain JS - "facebook/react" — audit React's dependency tree - "anthropics/anthropic-sdk-python" — audit Anthropic Python SDK Use this when someone asks "is my project at risk?" or "audit this repo's dependencies".

  Connector

• check_opportunity

  picoads

  Find out if there's money on the table. Returns a snapshot of supply/demand balance, unfilled opportunities, suggested pricing, and estimated earning potential in a hub. Call this before deciding whether to post a bid or ask.

  Connector

• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

  Connector

• get_slidev_guide

  Slidev MCP

  Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.

  Connector

• execute_sql

  Hatchable

  Run SQL against the project's dedicated PostgreSQL database. Supports: CREATE TABLE, ALTER TABLE, DROP TABLE, INSERT, SELECT, UPDATE, DELETE. Use parameterized queries for safety: pass values in the `params` array with $1, $2, etc. placeholders. Return format: - SELECT: { rows: [...], count: N } — DECIMAL columns return as strings (e.g. "45.00") - INSERT/UPDATE/DELETE: { changes: N } - DDL: { changes: 0 }

  Connector

• create_row

  Dock

  Append a new row to a workspace's table surface. The data field is a JSON object with column-name keys. Status column accepts: drafted, queued, sealed, active, blocked. Works on any workspace; columns auto-seed on the first row if the table surface is empty. Multi-surface workspaces accept `surface_slug` to target a specific sheet (use `list_surfaces` to enumerate); omit it to fall through to the workspace's primary table surface. **Unmapped data fields:** Keys in `data` that don't match any existing column are still STORED on the row (nothing is dropped), but they won't render in the table UI until the column exists. The response carries an `unmapped_fields` array listing those keys plus a human-readable `warning` so an agent can decide whether to surface them, call `add_column`, or retry with `auto_create_columns: true`. **Auto-create columns:** Pass `auto_create_columns: true` to have the server append a fresh text column for every unmapped key in one atomic step (humanised label from the key, type `text`). The response then includes `created_columns: ColumnDef[]` with the new column metadata. Use this when you're appending machine-emitted rows whose shape you can't predict ahead of time; leave it omitted (default false) when you want explicit schema control.

  Connector

• ateam_status_all

  ateam-mcp

  Show GitHub sync status for ALL tenants and solutions in one call. Requires master key authentication. Returns a summary table of every tenant's solutions with their GitHub sync state.

  Connector

• json_to_csv

  Toolora MCP Server

  Use this tool when the user has JSON data (an array of objects) and wants it as a spreadsheet, CSV export, or downloadable table. Triggers: 'export this to CSV', 'convert this JSON to a spreadsheet', 'I need this as a table'. Infers column headers from object keys. Returns a properly escaped CSV string.

  Connector

• onyx_browser_type

  onyx-mcp

  Find an input/textarea/select on the current CDP page by its name, id, or visible label, set its value via the React-safe native setter, and fire input + change events so frameworks like React/Vue see the update. Use after onyx_browser_navigate when an agent fills a form. Returns the field selector matched and the final value. Demo mode returns synthetic OK. (price: $0.002 USDC, tier: metered)

  Connector