Production-ready and experimental MCP tools that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Fetch real-time AI-related crypto and Web3 news by sourcing, filtering, deduplicating, and summarizing updates from trusted outlets like CoinDesk and social platforms like Twitter. Customize results by category, token, or search query. Default returns 10 articles with links to original sources.
Fetch real-time AI and crypto news from trusted sources, filtered and summarized for clarity. Access articles by category, token, or search query to stay updated on Web3 developments.
Query and analyze network devices, IPs, domains, and web assets using advanced search syntax. Retrieve detailed data on protocols, SSL certificates, geographic locations, and services for targeted network monitoring and reconnaissance.
Analyze Axiom datasets using Axiom Processing Language (APL) to filter, aggregate, and extract insights. Focus on optimizing queries by reducing time ranges, selective projections, and using aggregations for efficient data processing.
Systematically conclude quantitative research sessions by documenting dataset updates, statistical analyses, visualizations, hypothesis tests, model improvements, and project status in a structured, multi-stage workflow.
Convert latitude and longitude coordinates into detailed address information. Use OpenStreetMap data via the Nominatim API to retrieve location details, including street, city, or country, based on specified zoom level and output format.
Document and finalize study sessions with a structured, multi-stage workflow. Track academic progress, update assignment statuses, define new concepts, and link knowledge to courses for organized learning management.
Execute code, file, Git, and terminal operations with a multi-modal assistant. Generate, analyze, and refactor code, manage workflows, and integrate with GitHub for efficient task automation.
Get personalized music recommendations from TIDAL based on your favorite tracks or specific track IDs. Discover new songs tailored to your taste and explore curated suggestions for your next playlist.
Collect Google Suggest extension keywords for a given term, including common suggestions and country-specific suffixes, to expand keyword research efficiently.
Analyze and solve complex problems by breaking them into adaptable steps. Recommends MCP tools for each stage, providing rationale and execution order to maintain context and filter irrelevant information.
Break down complex problems into manageable steps, adjust approaches dynamically, and recommend tools for each stage. Ideal for planning, analysis, and multi-step solutions with evolving requirements. Track progress and refine strategies as understanding deepens.
Compute and evaluate mathematical expressions, including algebra, calculus, matrix operations, and equation solving, using symbolic computation for precise results.
Handle code, file, Git, and terminal operations using natural language commands. Simplify complex workflows with multi-modal assistance, task orchestration, and contextual execution.
Retrieve historical K-line (OHLCV) data for Chinese A-share stocks by specifying stock code, date range, frequency, and adjustment settings. Export data in a Markdown table format for analysis.
Modify and configure existing workflows in the Unstructured API MCP Server by updating workflow IDs, nodes, and settings to optimize directed acyclic graph (DAG) structures.
Discover personalized music recommendations using specified track IDs or your TIDAL favorites. Tailor suggestions with criteria like genre, mood, or release date, and explore curated tracks with artist, album details, and direct TIDAL links.
Remove outdated or irrelevant academic elements from your knowledge graph. Delete entities, relationships, or specific observations to maintain accuracy in your educational data as your focus changes.
Document project sessions systematically by recording decisions, updating task statuses, tracking progress, and creating structured records. Use this multi-stage tool to conclude planning or review sessions, maintain continuity, and build a historical project database.
Remove outdated or unnecessary entities, relationships, or observations from the software development knowledge graph to maintain accuracy and relevance as projects evolve and change.
Register user requests, plan associated tasks, and manage subtasks, dependencies, and notes with a structured workflow. Automatically generate task plans and enforce user approval for task completion and request finalization.
Fetch historical OHLCV data for Chinese A-share stocks by specifying stock code, date range, frequency, and adjustment settings. Supports daily, weekly, monthly, and intraday intervals.
Analyze and solve complex problems step-by-step with dynamic, reflective thinking. Adjust, revise, and branch insights while leveraging AI-generated meta-commentary and alternative approaches.
Initiate a study session with a structured overview of active courses, recent concepts, high-priority assignments, and upcoming deadlines to prioritize and focus learning efforts effectively.
Break down complex problems into manageable steps, revise insights, and explore alternative approaches with a flexible, iterative thinking process. Ideal for dynamic problem-solving and multi-step analysis.
Set up a SIP account with configurable features like caller ID, number rewriting, DID info, IP restrictions, call duration limits, concurrent call limits, and maximum call costs for secure and efficient communication.
Find relevant game development code examples by performing a semantic search in a vector database. Retrieve structured code snippets for game mechanics, rendering, physics, AI, and other systems based on detailed requirements and specific game engine tags.
Register user requests, organize tasks, and manage subtasks with dependencies and notes. Export task plans for reference and ensure structured workflows with user approval at each step for effective task completion.
Construct and enhance software development knowledge graphs by creating entities, defining relationships, and adding observations. Ideal for documenting project components, dependencies, and status updates in a structured way.
Execute AppleScript or JavaScript for Automation (JXA) on macOS to automate tasks. Utilize pre-defined scripts, raw code, or local files. Supports input substitution, script debugging, and execution timeout settings.
Discover and access pre-built AppleScript and JXA automation solutions for macOS tasks. Search scripts by keywords, browse categories, or list all available options to streamline automation workflows without starting from scratch.