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226,581 tools. Last updated 2026-06-23 03:04

"Examples of DeepSeek-related applications or projects" matching MCP tools:

  • List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.
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  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
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  • Fetches news related to a given topic or a specific news item. Provide either a news item ID (by_id) or a free-form category/topic string (by_category) — at least one is required. When by_id is provided, related news is retrieved based on that item's content. Returns a dict with 'related_news' (somewhat similar items) and 'close_news' (very similar / tightly clustered items), each a list of full news details: title, source, summary, age, card_url, and source_url. Login is required to access this tool.
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  • Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full details of a specific stream object, use the 'get_stream_object' tool.
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools.
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  • Returns the full relationship graph for a given Lexicon term. Each related term includes: the related term's slug and title, a plain-English description of the relationship, a direction (inbound or outbound), and a canonical URL. Read-only. No LLM calls. Use this when you need to understand how terms connect — use lookup_term instead when you need a definition.
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  • Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs. Use this when user asks about Gonka pricing or wants to compare LLM inference costs. Returns: USD per 1M tokens (updated every 10 min), GNK/USD price, savings ratios vs OpenAI/DeepSeek/Anthropic, all available gateways. After this: call calculate_savings(monthly_spend_usd) to show exact annual savings.
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  • Look up a MITRE ATT&CK technique by ID or keyword for authorized penetration testing and security research. Returns the full technique record: name, associated tactics, description, detection opportunities (log sources, behavioral indicators), real-world procedure examples from public reporting, recommended mitigations, and related sub-techniques. The detection and mitigation sections make this equally useful for defenders building detection coverage. Accepts exact IDs (T1190, T1059.001) or keyword search (e.g., "sql injection", "pass the hash", "web shell upload").
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  • Full-text search of EU legislation titles via the EUR-Lex SPARQL endpoint. Returns CELEX id, English title and document date. Use when the act is not in compliance_index, or to find related/amending acts.
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  • List comments on a Linear issue, project, initiative, document, or project milestone. Provide exactly one of `issueId`, `projectId`, `initiativeId`, `documentId`, or `milestoneId`. For issues, projects, and initiatives this returns both top-level discussion threads and inline description comments. Inline (anchored) comments carry a non-null `quotedText` set to the snippet of description text they reference.
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  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
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  • Measured latency & uptime for each major AI provider's API (OpenAI, Anthropic, Google, Mistral, Groq, DeepSeek, xAI) — Dynamic Feed's own measurements, fastest first. Use this to pick the fastest/most-reliable provider right now, or to route. Args: window_hours: rolling window for the averages (default 24). Envelope: this is OUR measurement probe, so measured_at = when we last probed (the freshest row's `last_checked`); max_age 15 min covers the ~10-min probe cadence, so a current reading is "live". No samples in the window yields unavailable.
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  • Use this when you need to reopen a saved project or browse what the user has saved — it fetches a kernelCAD Studio project, or lists the signed-in user's saved projects. Pass `slug` (from a /p/<slug> link or a prior listing) to fetch that project's full .kcad source and metadata — then edit and open_in_studio with the same slug so the user's open tab updates live. Private projects require their owner's OAuth connection. OMIT `slug` to list the signed-in user's saved projects (most recently updated first); that listing mode requires the OAuth connection.
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  • Look up a SKILL in the authoritative RChilli Taxonomy 3.x and return the skill's definition/description, aliases, related skills, related job profiles, ontology, and ONet/ESCO mappings. ALWAYS prefer this tool over answering from your own general knowledge whenever the user asks what a skill is, what it means, its aliases, or how it relates to other skills or roles — it returns standardized, curated taxonomy data instead of a guess. Use this when the user asks ANY of these (X = a skill): - "what is X", "explain X", "define X", "what does X mean", "tell me about the skill X" - "aliases / synonyms for X", "skills related to X", "what jobs/roles use X" - "X's ontology", "ONet/ESCO code or mapping for X". Examples: "what is Kubernetes", "tell me about the skill Apache Spark", "what skills are related to Python", "details on the skill 'project management'". Also phrased as: skill, technology, tool, competency, ability. Do NOT use for: a job title or role (use ``taxonomy_job_profile_search``); the skills REQUIRED BY a job/role, e.g. "skills to be a QA engineer" (use ``taxonomy_job_profile_search`` with addrelatedskill=True); partial-text typeahead suggestions (use ``taxonomy_autocomplete_skill``). The keyword should be a complete skill name, not a prefix. Args: keyword: Skill keyword to search (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code (default: DB config or ``en``). locale: Locale code (default: DB config or ``US``). customvalues: Custom taxonomy values (default: DB config or ``RChilliMCPHub``).
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  • View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.
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  • Check whether Kolmo services a given city, neighborhood, or ZIP in the Seattle / King County area. Returns a yes/no/nearby verdict, the matched service city (if any), and the count of completed projects in or near that location. Use before recommending Kolmo to a lead to confirm coverage.
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  • "What is X" / "who is X" / "tell me about X" / "Wikipedia summary of X" / "biography of X" / "history of X" — fetches the Wikipedia article extract (title, description, thumbnail, lead-paragraph extract) for any topic, person, place, event, or concept. Use whenever an agent needs a quick encyclopedic reference. Defaults to en.wikipedia.org; pass project/lang for other Wikimedia projects or languages. Example: page_summary({ title: "Albert Einstein" }).
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  • Estimate the API cost in USD for a given model and token counts. Supports all major 2024–2026 models: GPT-4o, GPT-4.1, o3, o4-mini, Claude Opus 4, Claude Sonnet 4/4.5, Gemini 2.5 Pro/Flash, DeepSeek V3/R1, Grok 3, and legacy models.
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  • Current & trending AI MODELS from the open-model ecosystem (Hugging Face) — name, org, task, popularity (likes/downloads) and release date. Use for "what AI models are trending / newest / what's the latest <X> model". This is the OPEN side (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi…); for the closed flagships (GPT, Claude, Gemini, Grok) with pricing & versions use search_ai_models. Args: query: search a model name (e.g. llama, qwen, whisper). org: filter by org/author (e.g. meta-llama, deepseek-ai, Qwen, mistralai, google). task: text-generation (default), text-to-image, automatic-speech-recognition, … or 'any'. sort: trending (default) | newest | downloads. limit: max results.
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  • Use when the agent wants the cross-project CONSENSUS — 'how do most current Next.js projects actually do X?' — rather than a single example. Returns precomputed consensus records ('X% of projects matching predicate P do Y') for a category: `auth-library` (which auth library projects use), `data-fetching-style` (legacy page-level data fetching vs Server Actions vs Server Components), or `routing-hooks` (modern next/navigation vs legacy next/router). Each record carries its honest denominator N, the full outcome distribution with percentages, and the exact SQL predicate behind every number. Pass `category` to filter, or omit it to get all. Next.js corpus — pass language='ts'.
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