"Information on agent swarm architecture" 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.

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.

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

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.

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.

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.

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

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.

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.

Provides local, deterministic Four Pillars (Bazi) chart calculation via MCP tools, with JSON and PNG outputs, no API key or network required.

Provides tools to inspect dataset schema, profile, preview, and execute read-only SQL queries on uploaded CSV/Excel files.

Enables natural-language Q&A, human-approved actions, and dashboard generation over a data ontology via MCP.

Enables AI agents to query and manage ERP procurement data, including suppliers, parts, inventory, and purchase orders, with human approval for write operations.

Enables agents to read and resolve layered feedback, propose and make decisions with evidence, and access trial ledgers and judgment views for experiment-driven work.