Find academic works by meaning using AI-powered semantic search. Enter a natural language query to retrieve similar research papers.
MIT
206,568 tools. Last updated 2026-06-17 14:27
"A scheduling engine powered by AI" matching MCP tools:
- Query class schedules and active class lists by providing a start and end datetime. Enables AI scheduling agents to surface available classes.MIT
- Create an AI-powered Magic Mask on a timeline item to isolate a subject. Supports forward, backward, or bidirectional tracking in DaVinci Resolve Studio.MIT
- Analyze SQL queries to provide AI-powered optimization suggestions for improved database performance and efficiency.MIT
- Find smart contracts by semantic meaning using AI-powered vector similarity matching on Ethereum blockchain data.MIT
- Analyze table data to uncover patterns, trends, and key statistics using AI-powered analysis for informed decision-making.MIT
Matching MCP Servers
- -license-quality-maintenanceA code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.Last updated
- AlicenseAqualityAmaintenanceMEOK Governance Engine - MCP server providing AI-powered tools and automation by MEOK AI LabsLast updated6MIT
Matching MCP Connectors
Cloudflare Workers MCP server: agent-workflow-engine
Deterministic recipe verification engine — validates AI-generated recipes against master SOPs.
- Generate AI-powered summaries of Outline wiki documents to quickly understand content without reading entire files.MIT
- Search the web with AI-powered results for research, fact-checking, and finding current information. Returns structured data with titles, URLs, and snippets.
- Generate AI-powered summaries of Outline wiki documents to quickly extract key information and understand content.
- Generate AI-powered test artifacts for a suite using Wopee.io. Start with APP_CONTEXT before user stories and test cases to ensure quality.MIT
- Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.MIT
- Retrieve a managed MySQL or PostgreSQL database by engine and ID, returning version, region, status, host, port, and maintenance window.Apache 2.0
- Retrieve the number of calls initiated per hour (0-23) for a specific date. Analyzes call volume patterns for scheduling and capacity planning.MIT
- Evaluate a government contract opportunity with AI-powered bid/no-bid analysis. Get a score, recommendation, strengths, and risks to inform your decision.MIT
- Initiate AI-powered analysis of security alerts to assess risk, analyze events, and provide investigation recommendations.PythonApache 2.0
- Retrieve a curated list of featured AI workflows for generating images, text, and other content.MIT
- Scale a Spark engine by adjusting its node count in watsonx.data. Specify target nodes to handle varying workloads.Apache 2.0
- Update Spark engine configuration in IBM watsonx.data by specifying engine ID and optional changes to description, display name, configuration, or tags.Apache 2.0
- Link a ticket to a service call for scheduling. Associates the ticket with the service call to coordinate field service.
- Fetch AI-powered content recommendations for news, sports, lifestyle, pets, and more by selecting a data model. Returns article summaries, images, sources, and relevance scores.MIT