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510,000 tools. Updated 2026-09-03 14:58

"AI-powered code generation and completion tools for IDEs like VS Code and GitHub" matching MCP tools:

  • Fetch WakaTime's public editor usage statistics showing relative popularity of code editors and IDEs across all WakaTime users.
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  • Call cc.indicator_generator — AI-powered indicator workshop. Actions: generate (prompt→code), list_library (user saved indicators), get_indicator (by id), delete_indicator, get_draft (poll generation status), save (persist to library). Returns full indicator code, params, and metadata. Purpose: AI-powered indicator workshop. Actions: generate (prompt→code), list_library (user saved indicators), get_indicator (by id), delete_indicator, get_draft (poll generation status), save (persist to library). Returns full indicator code, params, and metadata. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Live / near-real-time data. Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.02 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: premium. Returns: For generation: {success, processing, generation_id}. For list_library: {indicators:[{id, name, description, code, color, is_overlay, params}]}. For get_draft: {draft, status, generation_id}. Guidelines: Pass required parameters exactly; omit unknown fields. On 402, settle payment then retry with X-PAYMENT. Tags: indicator, code-generation, ai, custom, technical-analysis, charting.
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  • AI-powered security and quality code review. Analyzes for vulnerabilities, anti-patterns, performance issues, and best practices. Returns issues with severity, suggestions, and an overall score.
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  • Call cc.indicator_generator — AI-powered indicator workshop. Actions: generate (prompt→code), list_library (user saved indicators), get_indicator (by id), delete_indicator, get_draft (poll generation status), save (persist to library). Returns full indicator code, params, and metadata. Purpose: AI-powered indicator workshop. Actions: generate (prompt→code), list_library (user saved indicators), get_indicator (by id), delete_indicator, get_draft (poll generation status), save (persist to library). Returns full indicator code, params, and metadata. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Live / near-real-time data. Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.02 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: premium. Returns: For generation: {success, processing, generation_id}. For list_library: {indicators:[{id, name, description, code, color, is_overlay, params}]}. For get_draft: {draft, status, generation_id}. Guidelines: Pass required parameters exactly; omit unknown fields. On 402, settle payment then retry with X-PAYMENT. Tags: indicator, code-generation, ai, custom, technical-analysis, charting.
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  • MANDATORY FIRST CALL before writing any @marmoui/ui code in this session. Returns a step-by-step generation checklist (which tools to call, in what order), critical rules (no namespace sub-components, PageSection is self-closing, no Sidebar export), component patterns, and ICON LIBRARY RULES. Pass iconLibrary (default "phosphor"; also "material" | "lucide" | "tabler" | "heroicons" | "feather") to get that library's import source, icon name map, and weight/style mapping — and pass the SAME value to review_generated_code so it enforces it. Ask the user which icon library they want before writing UI code. Call topic="patterns" to get the generation checklist specifically.
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  • Scan text or code for leaked secrets: API keys (AWS, GCP, Azure, OpenAI, Anthropic, Stripe, GitHub, GitLab, Slack, Twilio, SendGrid, HuggingFace), private keys (RSA/EC/PGP), JWTs, database connection strings, Bearer tokens, and Basic auth headers. Returns a list of findings with type, severity, line number, and a redacted preview. Use before committing code, sharing logs, or sending text to an LLM. 100% regex-based, zero network calls.
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  • Corporate travel: search and book flights, hotels, rail and transfers, manage orders.

  • Cloudflare Workers MCP server: code-explainer

  • Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-separated list) is validated and described directly. Tip: Comext/CN nomenclature is frequently coarser than a colloquial product name (e.g. there is no code for "glass jars" alone -- only heading 7010, which bundles jars with bottles, flasks and closures). Check `has_subcodes` and, if useful, set `include_children=true` to see whether a finer sub-code is actually a better match before committing to one code for a whole report.
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  • Publish one public Markdown text post as a selected agent owned by the signed-in human operator. Use list_my_agents first to obtain the agent ID. Use the dedicated code tools for code requests and reviews; App and Cabana posts are not available through this connector release. Call only after the user explicitly confirms the exact title, body, tags, agent, and optional karma reward.
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  • Returns runnable code that creates a Solana keypair. Solentic cannot generate the keypair for you and never sees the private key — generation must happen wherever you run code (the agent process, a code-interpreter tool, a Python/Node sandbox, the user's shell). The response includes the snippet ready to execute. After running it, fund the resulting publicKey and call the `stake` tool with {walletAddress, secretKey, amountSol} to stake in one call.
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  • Verify the email code and get a transfer token valid for 15 minutes. Call this after request_transfer_code and the user provides their code. Pass the returned transfer_token to get_transfer_code or unlock_domain. Args: order_id: The order ID of a completed domain purchase. code: The 6-digit code from the verification email.
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  • Search CODE across public GitHub repositories — find where a function/symbol/string is defined or used. PREFER OVER WEB SEARCH for "find code that does X", "which repos use <API>", "show me an example of <function>", "where is <symbol> defined". Supports GitHub code-search qualifiers right in the query: repo:owner/name, org:name, user:name, language:go, filename:Dockerfile, path:src, extension:ts, in:file. Returns matching files with repo, path, and URL. Note: indexes the default branch only, ignores very common terms, and is capped at ~10 searches/minute.
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  • AI-powered candidate screening and ranking for recruiters, hiring managers, ATS providers and recruitment AI agents. Ingests a job description and 1-50 candidate resumes, returning a ranked shortlist with score breakdowns across five weighted criteria: skills_match (tech stack and soft skills extracted from JD vs resume), experience_match (years vs seniority level inferred from JD), education_match (degree level + top-school detection), role_progression (Junior to Senior to Lead patterns), culture_fit_estimate (remote/hybrid, startup vs enterprise). Per candidate: overall_score 0-100, matched/missing skills, red_flags (job hopping, employment gaps, seniority mismatch), green_flags (long tenure, promotions), 3-5 interview questions, fit_summary. Diversity signals are first-name proxies ONLY with mandatory ethical WARNING. All processing is local -- no external API calls, instant response, privacy-preserving.
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  • LLM CODE DEBUGGING — POST {code, error} and get a diagnosis: what is wrong, the root cause, and a concrete fix with corrected code. Paste the failing snippet plus the error message or stack trace; any language, up to 20,000 chars combined. Optional {language} and {context} ('happens only on the second call'). Fast cheap LLM under the hood. Want deterministic no-AI lint instead? POST /api/lint/:language ($0.002). ($0.01 per call, paid via x402)
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  • Generate an AI image or canvas-code-based animation directly into a clip. - kind="image": text-to-image. Pass `prompt`. Optional: `style_id` (from find type='image_gen_style_packs'), `reference_image_url` or `mcp_upload_id` for image-to-image grounding. - kind="animation": canvas-code animation rendered from a prompt. Pass `prompt`. Optional: `voiceover_text` (drives timing), `base_component_id` (reuse a saved animation as the starting point), `reference_image_url` or `mcp_upload_id` for visual grounding. Generation is asynchronous: the element is created immediately with a stable `element_id` and rendered in the background. Poll `get_clip` (the phantom flag drops once rendering completes). Tip: use this tool whenever the user asks for a "generated", "AI", or "create me a" visual. For uploaded photos / logos / icons / GIFs, use `add_elements` with `element_type='image'` and a `src` or `mcp_upload_id` instead.
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  • Resolve an ISO 4217 currency code such as USD, EUR, or JPY to its name, symbol, decimal places, and which countries use it when you need currency metadata rather than a live exchange rate. Use when: - What is the symbol and number of decimal places for EUR? - Which countries use currency code JPY? - Get ISO 4217 name and metadata for USD Do not use when: - Convert amounts between currencies or fetch live FX rates - Find which currency a country uses when you only have a country code (use country_lookup) - Validate payment-card-like numbers (use luhn_validate)
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  • Returns trimmed Code IQ automated analyses (architecture, scalability, EOL, AI functionality, etc.) for a project (aggregated) or a single vault. Excludes The Code Score — use get-the-code-score for that, and do not pass analysis_key=code_score here (404). Only cached results are returned; this never triggers a fresh analysis. Provide exactly one of project_id or vault_id. Requires full data access (a paid plan; verification-only plans are not included). Requires X-API-Key (existing users can generate an API key in the web app). If headers aren't supported, pass api_key in arguments.
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  • List production-type (psr_type) codes. Pass zone= to scope the answer. Most codes are ENTSO-E's B01..B25 and mean the same thing in every ENTSO-E zone. A few are source-native (source != "entsoe") and exist only where that source publishes — they express concepts the B-codes cannot, so they are NOT interchangeable with a similar-looking B-code. Check `source` and read `description` before comparing a code across zones. Passing zone= also returns `taxonomy_note` for zones that mix taxonomies (e.g. GB), and per-code `endpoints` showing where each code comes from. Each code carries `counts_as_generation`: when False the figure is a net flow or net storage number, not production — do not sum it into a generation total.
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  • Remove an AI source (its CSV + registration) by `code` so it is no longer applied on future imports. Set apply:true to re-import now. NOTE: the custom_<code> values already written onto products are NOT immediately erased — they clear on the next full product import. project_id is OPTIONAL (inferred for a single-project customer). Requires the additional-sources addon: without it the call is refused with error 'addon_required' (HTTP 403) + addonCode + upsellUrl — show the upsellUrl and do not retry. Returns {status:'deleted'|'not_found', code, applied}.
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  • AI-powered candidate screening and ranking for recruiters, hiring managers, ATS providers and recruitment AI agents. Ingests a job description and 1-50 candidate resumes, returning a ranked shortlist with score breakdowns across five weighted criteria: skills_match (tech stack and soft skills extracted from JD vs resume), experience_match (years vs seniority level inferred from JD), education_match (degree level + top-school detection), role_progression (Junior to Senior to Lead patterns), culture_fit_estimate (remote/hybrid, startup vs enterprise). Per candidate: overall_score 0-100, matched/missing skills, red_flags (job hopping, employment gaps, seniority mismatch), green_flags (long tenure, promotions), 3-5 interview questions, fit_summary. Diversity signals are first-name proxies ONLY with mandatory ethical WARNING. All processing is local -- no external API calls, instant response, privacy-preserving.
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