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127,233 tools. Last updated 2026-05-05 11:26

"A system for managing personal knowledge and organizing information" matching MCP tools:

  • Retrieve the full GLEIF LEI record for one legal entity using its 20-character LEI code. Returns legal name, registration status, legal address, headquarters address, managing LOU, and renewal dates. Use this tool when: - You have a LEI (from SearchLEI) and need full entity details - You want to verify the registration status and renewal date - You need the exact legal address and jurisdiction of an entity Source: GLEIF API (api.gleif.org). No API key required.
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  • Roll (regenerate) the personal proxy credential for a firewall. This invalidates the previous password and returns a new one with ready-to-use configuration commands. Only call this when the user explicitly needs new credentials — it will break any existing package manager configuration using the old password.
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  • Search MidOS knowledge base for relevant information. Use this as your FIRST tool to discover what knowledge is available. Returns ranked results with titles, snippets, and quality scores. Args: query: Search query (keywords or topic) limit: Max results (1-20, default 5) domain: Filter by domain (engineering, security, architecture, devops, ai_ml) Returns: JSON array of matching atoms with title, snippet, score, and source
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  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
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  • List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).
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  • Returns the list of supported measurement devices (CMMs, scanners), file formats, and system requirements for DezignWorks. Use to check hardware compatibility before recommending the product.
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  • The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.

  • Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.

  • List all teams the authenticated user belongs to, including their role and which team is currently active. Use the team ID as the teamId parameter in other tools. To access the personal workspace (no team), pass teamId "personal".
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  • Get your personal activity statistics: total sessions, events, active days, projects worked on, and recent activity summary.
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  • User profile and account management. View/update profile, search contacts, manage invitations, handle user assets, and manage personal AI instructions (markdown guidance the platform applies to AI features). Destructive action: close permanently deletes the account. Actions & required params: - me: (none) - update: first_name | last_name | email_address (at least one) - search-contacts: query - close: confirmation [DESTRUCTIVE] - details-by-id: user_id - profiles: (none) - allowed: (none) - org-limits: (none) - list-shares: (+ optional: archived, limit, offset) - invitation-list: (+ optional: invitation_key) - invitation-details: invitation_id - accept-all-invitations: (+ optional: invitation_key) - asset-upload: user_id, asset_name, content | content_base64 (+ optional: filename, content_type) - asset-delete: user_id, asset_name [DESTRUCTIVE] - asset-types: (none) - asset-list: user_id - instructions-get: (none) — read your personal AI instructions slot - instructions-set: content — replace your personal AI instructions (full replace, max 65536 bytes UTF-8) - instructions-clear: (none) — soft-clear your personal AI instructions
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  • Calculate the recommended inverter size for running AC loads from a DC battery system. Accounts for continuous power, startup surge power (motors typically surge 2-3x), and includes a 25% headroom for the continuous rating. Returns the recommended inverter wattage and the DC current draw at system voltage.
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  • Get LLM instructions at the specified level. Call with level 'brain' early in conversations to learn user preferences. Required: level ('brain'|'personal_root'|'container'|'team'). Optional: id (integer, required for 'container' and 'team' levels). 'container' level returns the full inheritance chain (personal root -> ancestors -> container).
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  • Auth-only. Personal study trends over a window (default 14 days, max 90): session count, total minutes, accuracy trend (up/down/flat), and top-missed words. Use after a user asks 'how am I trending / am I improving / which words keep tripping me up'.
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  • Is it safe to deploy these changes? Cross-references your changed modules against active constraints, recent incidents, knowledge freshness, and active alerts. Returns a composite verdict (ready/caution/block) with per-module breakdown and actionable recommendations. Use BEFORE deploying to catch constraint violations, recent regressions in the same area, stale knowledge that needs verification, and active alerts that might interact with your changes.
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  • CONSENT REQUIRED BEFORE CALLING THIS TOOL. Before submitting a loan application, you MUST display the following disclosure to the user verbatim and obtain their explicit agreement (e.g. they say "I agree", "I consent", or "Yes"). Do NOT call this tool until the user has explicitly agreed. DISCLOSURE: "By submitting this application, you: (1) consent to and agree with IncredibleFi's Terms of Service, Privacy Policy, Credit Authorization Agreement, E-Consent, Arbitration Notice, Advertiser Disclosure, and Personal Loan Notice; (2) certify that all information herein is true and complete; (3) provide written instructions under the Fair Credit Reporting Act for Acqscale, Inc. (IncredibleFi.com) and its Marketplace Partners with whom Acqscale, Inc. (IncredibleFi.com) connects you to obtain your consumer credit report from contracted Credit Bureau(s) associated with your pre-qualification for credit inquiry; (4) understand your information will be presented to a network of lenders and/or lending partners who will review and verify your information to determine if you may qualify for a loan, and that lenders and financial service providers may share your personal information including approval and funded status; and (5) provide express consent to recurring communication at the telephone number provided by Acqscale, Inc. (IncredibleFi.com) and its Marketing Partners. Consent is not required to purchase any goods or services." Once the user has explicitly agreed, set tcpaConsent to true and submit the application. This tool always returns a URL for the user: either a direct lender match or curated loan options. May return "additional_information_needed" with extra fields to improve matching.
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  • What went wrong last time we touched this module? Returns past incidents, deploy failures, gotchas, and active constraints for a module or system. Use BEFORE modifying infrastructure code, deploy scripts, or any module with a history of fragility. Surfaces the kind of tribal knowledge that prevents repeat failures — Docker bind mount traps, Vault agent write patterns, stale dist/ artifacts, port conflicts, and similar operational landmines.
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  • Search a company's knowledge base for policies, procedures, and documentation. First use lookup_company to get the tenant_id, then use this tool to search their knowledge base.
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  • Retrieve a single knowledge base entry by its unique ID. Returns the full entry including content, metadata, tags, and related context IDs. Use this after query_context or find_similar to get complete details for a specific entry.
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  • Creates a new design system for a project. Use this tool when the user wants to set or update the overall visual theme, style, or branding of the application. This includes configuring: - Color Palette: Presets, custom primary colors, and saturation levels. - Typography: Font families (e.g., Inter, Roboto, etc.). - Shape: Corner roundness for UI elements. - Appearance: Light and dark mode background colors. - Design MD: Free-form design instructions in markdown. This tool establishes the foundational design tokens that apply across all screens in the project. **Instructions for Tool Call:** * Call `update_design_system` tool immediately after this tool to apply the design system to the project, and display the design system in the UI.
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  • Returns the Personal Year, Personal Month, and Personal Day numbers for a given birth date and optional target date. All three cycle numbers are derived from the birth month, birth day, and the target calendar date. SECTION: WHAT THIS TOOL COVERS Personal cycles are the Pythagorean timing system. The Personal Year (1–9) sets the annual theme. The Personal Month refines it to a 30-day window. The Personal Day gives the daily energy flavour. A Personal Year 1 favours new beginnings; a 9 favours completion and release. Cycles nest: the same number in Year, Month, and Day simultaneously creates a peak intensity day. Formula: Personal Year = birth_month_reduced + birth_day_reduced + target_year_reduced Personal Month = Personal Year + target_month, reduced Personal Day = Personal Month + target_day, reduced Master numbers 11 and 22 are preserved where they arise. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_numerology_profile — see personal cycles alongside core numbers. SECTION: INPUT CONTRACT date — Birth date in YYYY-MM-DD format. Example: '1985-11-12' year (optional int) — Target year. Defaults to current calendar year. Example: 2026 month (optional int 1–12) — Target month. Defaults to current month. Example: 5 day (optional int 1–31) — Target day. Personal Day is only returned when day is provided. Defaults to null (Personal Day omitted). Example: 1 SECTION: OUTPUT CONTRACT data.personal_year (int — 1–9 or master 11/22) data.personal_month (int — 1–9 or master 11/22) data.personal_day (int or null — null when day parameter is not provided) data.target_year (int — echoed) data.target_month (int — echoed) data.target_day (int or null — echoed) SECTION: RESPONSE FORMAT response_format=json — structured JSON. response_format=markdown — human-readable. Both modes return identical underlying data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local): None — all validation is upstream. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_personal_year — returns Personal Year only, no month or day breakdown. asterwise_get_numerology_profile — core name numbers; personal_year field is null there.
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  • One-shot convenience tool: creates a transcode job, polls until it reaches a terminal state (completed/failed/cancelled) or the timeout expires, and returns the final job plus a signed download URL if completed. Use this when you want the full transcode in one step without managing polling yourself.
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