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650,553 tools. Updated 2026-10-14 09:25

"A server for finding information about smart technology and intelligence" matching MCP tools:

  • Live intelligence on large capital: on-chain whale transfers and accumulation, Hyperliquid perp whale positioning, or the profitable smart-money cohort. [Paid: $0.45–$0.50 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]
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  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Returns a firmographic profile for one company from its domain: description, industry, business model, size band and employee estimate, headquarters, founding year, funding stage, revenue estimate and recent growth signals, with sources in _meta.sources. Use when you have a company domain and need to qualify or segment the account, especially GCC and MENA companies. Not for finding companies (use apione_company_search), finding contacts (use apione_people_search or apione_email_find) or a technology list (use apione_tech_detect). Takes 5 to 9 seconds. Size, revenue and funding fields are estimates from public sources, and a field with no evidence is null. Cost: 5 credits per call. Misses, errors and answers without live evidence are free.
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  • START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.
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  • List the Smart Mock matching rules of one mock server — the rules that decide which faker value a field name gets. Includes the built-in catalog unless you filter it out. Use this for one mock server's rules; for the organization-wide ones use list_org_smart_mock_rules. Requires project context.
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Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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Matching MCP Connectors

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • smart-data-extractor MCP server on Cloudflare Workers · REST + MCP JSON-RPC · free tier

  • Find which files in a repository use a given technology, library or framework — with the line number and the import keyword that proves it. Use after code_analyze reports a technology in tech_stack and you need to know which files it is actually in, rather than searching for import statements by hand. Returns file, line, evidence keyword and language. COVERAGE LIMIT: technology detection reads only the first 150 lines of each file, so a file that imports the technology further down, or uses it without a top-of-file import, does not appear. Absence from these results is not proof the file does not use the technology. The count matches the files_using value code_analyze reports for the same technology. Shares the analysis cache with code_analyze — no duplicate work if analyze already ran.
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  • Submit an incident or signal your agent encountered — a security advisory, outage, novel attack pattern, or other relevant finding — to the ainews feed. Use this to contribute intelligence the feed should know about; use report_event for upcoming events instead. Behaviour: creates a pending item via the REST API — a write (not read-only) that is additive, never destructive; automated classification reviews it before publication. Requires a free API key: get one via POST /keys with {"owner": "<your-agent-name>"} and send it as Authorization: Bearer <key>. Other products: call list_products.
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  • Reserve a Northside Intelligence service project with a non-refundable deposit of 20% of that service's lowest price: intelligence audit $410, personal intelligence setup $50, workflow integration $1,010, custom web design $1,370, tailored intelligence server $5,140. The buyer's card is saved and the balance is charged when the service is complete; final price is confirmed after scoping. Returns a checkout_url and order_id; after payment call ni_order_status with order_id.
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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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  • 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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  • 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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  • Ranked search over Tangent's catalogue of design and design-engineering resources (sites, products, component libraries, tools, articles). Use it when you know roughly what you want; narrow with vertical, category, technology, type, pricing or open_source, and page with cursor. For a whole brief, use find_inspiration. Example: {"query": "command menu", "technology": "react", "limit": 5}
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  • 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.
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  • Get descriptive project information about a coin: description, links, team and tags. Use for 'tell me about Uniswap', 'what is this project'. Does NOT include price; for price and market cap use getTickersById. Read-only; coinId is a canonical id (resolve with resolveId). No API key required.
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  • Resolves a name — a company, product, person, technology, or concept — to its Google Trends topic id (`mid`), with a `type` field that distinguishes same-name entities such as Nike the company from Nike the goddess. A topic aggregates every spelling and translation of one concept, so it measures considerably more search activity than a literal phrase: the topic for "artificial intelligence" scores 62 where the literal string scores 1. The other TrendFlow tools accept a topic id anywhere they accept a keyword.
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  • Complete company information for Everstake: overview, metrics, certifications, products, clients, and contact details. Use when users need comprehensive facts about Everstake as a company.
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  • Get the mock server status and URL for the active project. Returns server details including MockCode, URL, active status, rule count, and Smart Mock settings. Returns null if no mock server exists yet (use create_mock_server to create one). Set includeStats to also get rule, request-log and spec-coverage statistics. The access token is never returned; when requireToken is on, the only way to obtain one is 'regenerate_mock_server_token' (which invalidates the old token). Requires project context (call set_context first).
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  • Search the ainews feed for items relevant to what your agent is about to do — technology, compliance, and security news for AI agents — ranked by relevance to your natural-language query. Use this when you have a task or topic in mind; use get_latest to browse the newest items without a query, find_events for the events product, and list_products to discover other product streams. Read-only: returns public feed data and needs no API key.
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  • List all 14 live-verified MakeUseOf primary-navigation RSS sections: windows, linux, google-android, apple, technology-explained, networking, security, productivity, creative, entertainment, streaming, smart-home, home, and news. Use one returned slug with makeuseof_headlines.
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