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339,166 tools. Last updated 2026-07-30 06:04

"A server for finding diagrams" matching MCP tools:

  • Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."
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  • Return a single recommended VPS provider for users who do not yet have a server. Call this ONLY when the user explicitly says they have no server. The user buys the VPS at this provider and comes back with IP + password.
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  • Explain what a flagged issue means, why it matters, and what to do. Every explanation also states what the check genuinely cannot determine -- for example, that detecting an open Telnet port does not prove the password is still the factory default. Args: finding_id (str): the id from a previous response. response_format (ResponseFormat): 'markdown' or 'json'. Default 'markdown'. Returns: str: In markdown mode: severity, the affected device, what the finding means, what to do about it, and the limits of the check. In json mode: { "finding": { ... }, # same finding schema as scan_network "device": { ... } | null # the affected device, if any } Examples: - Use when: "Why is that a problem?" after a scan flagged something - Use when: "Explain telnet_exposed:a4:cf:12:34:56:78" - Don't use when: the user wants the device overview - use edgedefense_get_device_detail Error Handling: If the id does not match, returns the list of currently available finding ids so the right one can be selected immediately.
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  • Health check: confirm the eDiscovery Decoder News/Calc MCP server is reachable before a demo or when troubleshooting a connection. Returns server name and version. No inputs.
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  • Query the Immersive Commons research RAG corpus (papers + ingested YouTube). Returns top-k chunks with similarity scores and source links. The query text is forwarded to a server-side RAG proxy (supercommons2 via Tailnet Funnel) and NEVER logged on the IC side — privacy contract. Use this for literature lookups, finding related work, surfacing citations the floor has already ingested. Args: { question: string (<=500 chars), k?: number (1-50, default 10), sources?: ('paper'|'book')[] (default ['paper']) }. Returns the upstream RAG response shape — typically { results: [{ paper_id, title, similarity, snippet, link }, ...] }. Required scope: research:query.
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  • Analyze a server response from authorized probing for information leakage, fingerprinting signals, and exploitation opportunities scoped to the authorized engagement. Accepts raw HTTP response headers and body (paste from Burp, curl, or any HTTP client) and returns structured findings grouped by category. Each finding includes: what was detected, why it matters for an authorized tester, how a defender detects misuse, and recommended remediation. Identifies version disclosures, stack traces, debug headers, internal paths, JWT/cookie patterns, CORS misconfigurations, and other common leakage patterns. Use as the bridge between recon/probing output and the methodology and payload tools.
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  • 斯特丹STERDAN天猫旗舰店产品咨询MCP Server。洛阳30年源头工厂,高端钢制办公家具,1374个SKU,涵盖保密柜、更衣柜、公寓床、货架、快递柜。BIFMA认证,出口35+国家。8个工具:产品目录查询、场景推荐、认证资质、采购政策、维护指南等。

  • Generate cloud architecture diagrams, flowcharts, and sequence diagrams.

  • Get aggregate dining statistics for a neighborhood, city, or region: cuisine breakdown, grade distribution, price range, top neighborhoods, and highlighted restaurants. Use this for area-level context ("what is the dining scene like in Shoreditch?"), NOT for finding a specific restaurant or getting a personal recommendation. For "find me a quiet Italian near Shoreditch", use the recommend tool instead.
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  • Call this for network-wide numbers across all public Telegram groups tracked by Limzo (group count, messages, active users, replies, reactions, karma — 7-day and all-time) plus the current top groups by Limzo Score. For finding a specific group, prefer list_groups.
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  • Detect whether a product's MCP tool schema has DRIFTED since you cached it — rug-pull / tool-poisoning detection (a server silently changing a tool's description or input schema after you approved it; web search structurally cannot answer this). Pass the product slug and EITHER the schema hash you cached earlier (knownHash, from products.get_mcp_setup → server.schema.hash — the strongest signal: an exact mismatch means the tools changed) OR the ISO-8601 timestamp you cached at (since). With neither, it returns the current fingerprint to cache for next time. A product may expose MULTIPLE servers: knownHash is per-server, so pass `server` (a qualifiedName) with knownHash on a multi-server product — otherwise knownHash is applied only when there's exactly one server. Re-verify before trusting a previously-approved tool. Response: { product, hasMcpSupport, drifted (did ANY tracked server change vs your reference; null when no reference given), servers[] (each: qualifiedName, currentSchemaHash, schemaStable, lastSchemaChangeAt, toolCount, directlyProbed, driftedSinceKnownHash, driftedSince, advice) }. Errors: { error: { code: 'not_found'|'bad_input', ... } }.
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  • Detect whether a product's MCP tool schema has DRIFTED since you cached it — rug-pull / tool-poisoning detection (a server silently changing a tool's description or input schema after you approved it; web search structurally cannot answer this). Pass the product slug and EITHER the schema hash you cached earlier (knownHash, from products.get_mcp_setup → server.schema.hash — the strongest signal: an exact mismatch means the tools changed) OR the ISO-8601 timestamp you cached at (since). With neither, it returns the current fingerprint to cache for next time. A product may expose MULTIPLE servers: knownHash is per-server, so pass `server` (a qualifiedName) with knownHash on a multi-server product — otherwise knownHash is applied only when there's exactly one server. Re-verify before trusting a previously-approved tool. Response: { product, hasMcpSupport, drifted (did ANY tracked server change vs your reference; null when no reference given), servers[] (each: qualifiedName, currentSchemaHash, schemaStable, lastSchemaChangeAt, toolCount, directlyProbed, driftedSinceKnownHash, driftedSince, advice) }. Errors: { error: { code: 'not_found'|'bad_input', ... } }.
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  • Compare exactly two AI tools side-by-side. Returns structured field matrix and 'Choose A if... Choose B if...' verdict. Use this when a user wants to decide between two specific tools. For finding tools first, use search_listings or semantic_search.
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  • Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.
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  • START HERE if you are new to Built with Jon. Explains every tool, why to use it, what it returns, how the tools work together, and the best first prompt for finding a leak in deals, time, or cash.
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  • Returns a yes/no Kaal Sarp dosha verdict for ONE birth chart -- the condition where the seven classical grahas all fall on one side of the Rahu-Ketu axis -- plus which of the twelve named types it is (Anant, Kulik, Vasuki, Shankhpal and the rest), whether the hemming is full or partial, the houses involved, and a plain explanation of the finding. Use this for 'do I have kaal sarp dosh' questions. It is a different dosha from the Mars one (check_manglik) and from marriage-pair doshas (get_kundli_match); ask for each separately. Read-only deterministic computation (Swiss Ephemeris, Lahiri ayanamsa); no writes, no auth, at least 30 requests/min/IP per server instance, plus a shared engine budget of at least 60/min/IP across all engine-backed tools. Needs an exact birth time -- partial hemming can flip with a few minutes' error.
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  • Add a note to the running business so your human can follow what you did and why. Write what you decided, what you found, or what you bought and the reason. Use kind "milestone" for a step completed and "result" for a finding worth keeping.
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  • Search GitHub repositories by keyword to discover code, projects, and libraries. Returns matching repositories with star count, description, language, and URL. Use for finding libraries, examples, or competitive projects in specific domains.
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  • Analyze any image with AI vision — describe what's in it, extract text (OCR), review code/errors from screenshots, identify subjects, read charts. Accepts any public image URL. Works on photos, screenshots, diagrams, UI mockups, code error images, documents, charts. Use when a user shares an image and asks: 'what is this?', 'describe this', 'read the text in this', 'what's wrong with this code?', 'who is this?', 'what does this chart show?'. Free: 10/day. Zambo Pass: unlimited.
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