"Scheduler that invokes the agent based on a predefined schedule" matching MCP servers:

An MCP server that enables AI agents to compile, refine, and interlink knowledge into a persistent wiki, replacing RAG with structured, curated knowledge.

MCP server enabling AI agents to directly query and manage Power BI datasets, reports, and workspaces via DAX, with built-in data security policies and support for both Power BI Desktop and Service.

Enables AI agents to read and manipulate networks, tables, visual styles, and more in a live Cytoscape Web session through natural language, by connecting over Chrome DevTools Protocol.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

A real MCP server exposing data-analyst tools (SQL querying, schema introspection, stats, charting) over a sales database, with a Gemini agent that discovers and calls those tools at runtime via the standard MCP protocol.

Enables AI agents to securely connect to your own Power BI or Fabric tenant using your Azure identity, with tools to inspect workspaces and models, run read-only DAX, validate and deploy your own reports, take page screenshots, and enforce guardrails that protect shared resources.

Enables AI agents to log trades from chart screenshots, validate them against custom strategy rules, import statements from MT5/TradingView and other brokers, and review R-based statistics in a local dashboard.

Generates hand-drawn Excalidraw diagrams from natural language prompts or structured descriptions, with tools for creating, listing, and opening diagrams directly in the browser.

Enables natural-language querying of F&S idea data in Joule Work Desktop, supporting idea search, detail retrieval, and dashboard KPIs.

Enables natural language sales analysis by connecting to a SQLite database, generating charts, and exporting results to CSV/Excel.

Enables conversational patent data analysis through a set of tools for trend analysis, clustering, word cloud generation, and more. Allows natural language queries to explore patent datasets with structured results and visualizations.

Turns structured JSON content into resolved, audited infographic plans and renders them as SVG or executable Figma Plugin API scripts, exposing theme packs, grammars, planning, auditing and export tools over stdio. Also lets hosts inspect theme provenance and layout decisions so different tools produce identical frames.

Generates editable Excalidraw diagram files from natural language descriptions of systems and architectures.

Provides live earthquake data from the USGS feed, enabling users to query recent seismic activity and view interactive earthquake widgets within the chat.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

MCP server for generating and editing PowerPoint-native framework diagrams from paper descriptions. Supports spec-based generation, incremental edits, snapshot rollback, and structure validation while preserving manual modifications.

MCP server providing construction job costing data and interactive visualizations for a fictitious general contractor, enabling queries on projects, budgets, cost codes, change orders, and cash flow.

An MCP server that answers natural-language questions over CSV, Excel, and SQL data by providing deterministic tools for loading, profiling, querying, cleaning, statistical analysis, visualization, and reporting. It enables LLMs to plan and interpret while all computation is done exactly through MCP tools.

Enables AI to create and manage Apache Superset dashboards, including adding charts and native filters from datasets.