"An introduction to TypeScript programming language" matching MCP tools:

• search_developersA

  DevGlobeA

  Use when the user wants to find public developers by skill, name, language, location, agent availability, or active opportunity intent. Start discovery here; no authentication is required. Example: {"query":"TypeScript maintainers","location":"Germany","availableForAgents":true,"limit":5}.

  ConnectorNo auth

• ios_set_device_languageA

  Robot Actions — Remote Device ControlA

  Change the iOS device's system language and / or locale (persistent, affects every app). iOS may relaunch SpringBoard to apply the change — expect a 5-10s flicker, and the value can take a few seconds to read back. Pass a BASE language code ("fr", not "fr-CA"): iOS reports a region-qualified language but refuses to set one, so a regional code is split into its base language plus a locale automatically. For per-app testing without changing the whole device, prefer ios_launch_app_in_language.

  ConnectorOAuth

• search_open_grantsA

  foundation-discoveryA

  Search open grant opportunities from Kindora's active foundation-program corpus plus federal and state government grants. FOR-PROFIT APPLICANTS: pass for_profit_applicant=true to search capital a for-profit can take (PRIs, loans, revenue-based financing, patient equity) from CDFIs, impact investors, and PRI-active foundations. The default pool is 501(c)(3)-shaped and will NOT contain those programs. Searches both private foundation grant programs (from IRS data and funder websites) and government grant opportunities — federal (Grants.gov) plus state and district grant portals. Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)

  ConnectorNo auth

• get_studyA

  Analytics Legends — SAP Analytics IntelligenceA

  Read one Analytics Legends study BODY — the paid text behind list_studies' metadata. Requires a subscriber API key, Consultant tier or above. Bodies run to 38k words and exceed the 256 KiB response ceiling, so this tool serves STRUCTURE first: called without `section` it returns the section list and the introduction; pass `section` (a heading from that list, matched case-insensitively) to read one section. Find slugs and languages with list_studies.

  ConnectorNo auth

• create_form_translationA

  RooQuizA

  Add a language version (translation) to a form. Clones the source text as the initial draft and returns it so you can translate right away: edit the human-readable text in place, keep every code identical to the source, then save with update_form_translation. The language must differ from the form's primary language, and there is at most one translation per language (see list_form_translations).

  ConnectorAPI key

• create_form_translationA

  RooQuizA

  Add a language version (translation) to a form. Clones the source text as the initial draft and returns it so you can translate right away: edit the human-readable text in place, keep every code identical to the source, then save with update_form_translation. The language must differ from the form's primary language, and there is at most one translation per language (see list_form_translations).

  ConnectorAPI key

• generate_blog_outlineA

  Razi ToolsA

  Produce a markdown heading structure for a blog post — title, introduction, numbered sections with subsections, conclusion and an FAQ block. Returns JSON { outline } holding the markdown. It writes the skeleton only, not the article: use generate_text for body prose and humanize_text to rework text that already exists. Paid model call, capped at roughly 1,000 tokens, so a large section count yields thinner sections. 10 calls per minute per IP; identical requests may return a cached outline.

  ConnectorNo auth

• generate_blog_outlineA

  Razi Text GenerationA

  Produce a markdown heading structure for a blog post — title, introduction, numbered sections with subsections, conclusion and an FAQ block. Returns JSON { outline } holding the markdown. It writes the skeleton only, not the article: use generate_text for body prose and humanize_text to rework text that already exists. Paid model call, capped at roughly 1,000 tokens, so a large section count yields thinner sections. 10 calls per minute per IP; identical requests may return a cached outline.

  ConnectorNo auth

• improve_content_seoA

  BlogSEOA

  Rewrites content you pass inline to fix its failing on-page SEO checks for target_keyword (keyword in introduction and subheadings, density, sub-keyword coverage, length, subheading distribution, FAQ, paragraph and sentence length) while keeping its topic, facts, tone, language, links and images. Returns the improved markdown verbatim with the score before and after. The content does not need to be in BlogSEO and nothing is saved: apply the result yourself, or use edit_article_with_ai for stored articles. Fails before charging when every body-level check already passes. Synchronous and slow: it takes 1 to 3 minutes, wait for it instead of retrying. Limited to 20 calls per hour per website. Costs 1 AI brain credit, charged after the work, not refunded on failure. Requires an active subscription or free trial. Pass website_id when the account has several websites (see get_account).

  ConnectorOAuth

• get_sdk_referenceA

  SenzingA

  Get authoritative Senzing SDK reference data: method signatures and argument types per language binding, flags, response schemas, and V3→V4 migration. Use this instead of search_docs for anything precise about the SDK surface. Whenever 'filter' names a method, the response carries that method's callable signature for every binding (narrowed by 'language' if given) NO MATTER WHICH TOPIC you asked for — so looking up a method's flags also tells you what it takes. Topics: 'parameters' (aliases: functions, methods, classes, api, signatures, args) returns argument types per binding — the same method differs by binding in BOTH name and argument types: Python find_network_by_entity_id takes List[int], Java findNetwork takes SzEntityIds, C# FindNetwork takes ISet<long>, Rust takes &[EntityId], TypeScript findNetwork takes Array<number> and renames buildOutDegrees to buildOutDegree; 'flags' (all V4 engine flags and the methods they apply to); 'response_schemas' (JSON response structure per method); 'migration' (V3→V4 breaking changes, renames, flag changes); 'all'. 'filter' accepts any spelling — 'get entity', 'get_entity', and 'getEntity' all resolve. Pass 'language' (python/java/csharp/rust/typescript) to narrow to your binding; cross-binding divergence warnings are still included so you never translate a call between bindings by mistake

  ConnectorNo auth

• browse_collectionsA

  Remember Me CollectionsA

  Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

  ConnectorNo auth

• browse_collectionsA

  Remember Me CollectionsA

  Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

  ConnectorNo auth

• create_projectA

  globalize.nowA

  Create a localisation project from catalog languages. Resolve language ids first with list_languages. The source language is what your content is authored in; target languages are what it will be translated into. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.

  ConnectorOAuth

• queryA

  OnePageCRMA

  Execute an OQL (OnePageCRM Query Language) query. Pass a JSON query object to read CRM data. Use describe() to discover entities and fields.

  ConnectorOAuth

• axint.validateA

  AxintA

  Validate a TypeScript intent definition without generating Swift. Runs the full Axint validation pipeline (134 diagnostic rules) and returns a JSON array of diagnostics: { severity: 'error'|'warning', code: 'AXnnn', line: number, column: number, message: string, suggestion?: string }. Returns an empty array [] when validation passes. Use: use for TypeScript DSL diagnostics before Swift output; use swift.validate for existing Swift. Inputs: source is TypeScript DSL text; strictness options affect diagnostics only and never emit Swift. Effects: read-only diagnostics; writes no files and uses no network.

  ConnectorNo auth

• axint.schema.compileA

  AxintA

  Compile a minimal JSON schema directly to Swift, bypassing the TypeScript DSL entirely. Supports intents, views, components, widgets, and full apps via the 'type' parameter. Uses ~20 input tokens vs hundreds for TypeScript — ideal for LLM agents optimizing token budgets. Use: use for token-light JSON-to-Swift generation; use compile for full TypeScript DSL control and scaffold for TS starters. Inputs: schema kind selects intent, view, widget, or app output; options add companion metadata. Effects: read-only Swift generation; writes no files and uses no network.

  ConnectorNo auth

• executeA

  mcpA

  Runs JavaScript code to interact with the Mux API. You are a skilled TypeScript programmer writing code to interface with the service. Define an async function named "run" that takes a single parameter of an initialized SDK client and it will be run. For example: ``` async function run(client) { const asset = await client.video.assets.create({ inputs: [{ url: 'https://storage.googleapis.com/muxdemofiles/mux-video-intro.mp4' }], playback_policies: ['public'] }); console.log(asset.id); } ``` You will be returned anything that your function returns, plus the results of any console.log statements. Do not add try-catch blocks for single API calls. The tool will handle errors for you. Do not add comments unless necessary for generating better code. Code will run in a container, and cannot interact with the network outside of the given SDK client. Variables will not persist between calls, so make sure to return or log any data you might need later. Remember that you are writing TypeScript code, so you need to be careful with your types. Always type dynamic key-value stores explicitly as Record<string, YourValueType> instead of {}.

  ConnectorOAuth

• gdelt_get_coverage_breakdownA

  gdelt-mcp-serverA

  Break down news coverage volume over time by source language or source country, returning a multi-series time series (one series per language or country). Shows which countries or languages drove early vs. late coverage — useful for tracing how a story propagated geographically or across language communities. Returns up to 10 series by total volume and aggregates the rest into an "Other" bucket, naming every series it folded in there under otherSeriesLabels — pass any of those labels back as the series input to get that series complete, ranked or not. Values are normalized: each point is the topic's share of media output, not an absolute article count. Small media markets with concentrated coverage therefore rank above large markets with diverse output — a high value means the topic dominated that source's coverage, not that it published the most articles. Use breakdownBy "country" with the signal-detection chain to map geographic attention, or "language" to detect non-English media surges.

  ConnectorNo auth

• post_board_introA

  webbersites-x402-data-apiA

  Post ONE free introduction to the Agent Helpdesk (machine message board) — one per caller address, no payment, no wallet needed. Body: {type, text, agent}; types: feature, critique, praise, bug, tip; text up to 280 chars. After your intro, posting costs $0.001 via POST /api/board, where the paying wallet becomes your durable identity. (free per call, paid via x402)

  ConnectorNo auth

• update_project_canonA

  EpovestA

  Revise the brand canon of a project. Field by field: a provided field replaces the current wording (an empty string clears it), an omitted field is kept as is. Any actual change records the NEXT canon version (numbered, immutable; version_created true in the answer); sending identical wording records nothing. The canon lives in ONE language, its canonical language (canon_language): it is never translated, changing the language is a revision like any other. The canon is meant to be STABLE: revising it is a rare and deliberate move, and every surface that reuses the wording will need to be brought back in phase with the new version. Confirm with the user before revising.

  ConnectorNo auth

• language_lookupA

  Agent BitsA

  Resolve an ISO 639-1 language code such as en, fr, or ja to its English name and native name when you need language metadata from a two-letter code. Use when: - What language does ISO 639-1 code ja refer to? - Get the native name for language code fr - Resolve a two-letter language code to its English and native names Do not use when: - Translate text between languages - Detect the language of arbitrary free-form text - Look up country languages from a country code (use country_lookup)

  ConnectorNo auth