"Chain MCP Experimental Results" matching MCP servers:

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

Provides an MCP server exposing compute, verify, and plot tools backed by Giac/Xcas for exact symbolic and numerical mathematics, enabling LLMs to solve calculus, algebra, geometry, and more with verified results.

Local MCP server for YueShu Graph 5.3 enabling safe GQL validation and execution, schema discovery, and structured graph/chart results through Codex.

Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.

Provides easy access to Formula 1 data including championship standings, event info, season calendars, track visualizations, session results, and driver/constructor info via FastF1 and OpenF1 API.

MCP server for controlling jamovi from MCP clients. It starts a local jamovi engine process and exposes tools for opening datasets, reading/writing data, running analyses, exporting results, and saving .omv files.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

Options analytics MCP server providing 40+ tools for options chain data, position valuation, Greeks, charts, and volatility analysis.

Enables clients to create, query and edit QGIS projects and vector data in an isolated, new headless PyQGIS process, exporting GeoJSON/GeoPackage, saving and reopening editable QGZ bundles, and rendering PNG maps through typed MCP tools. All operations are workspace-relative with strict path and geometry validation, and never attach to or modify a running QGIS desktop session.

Enables creating interactive tier lists in MCP-compatible chats, ranking options into tiers via drag-and-drop or chat, undoing changes, and exporting results as PNG images.

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.

Provides tools to search, query, and visualize Prometheus metrics, returning results in JSON format for AI analysis.

An experimental fork of tableau-mcp that adds an EAS (external authorization server) authentication mode, enabling per-user embedding and REST sign-in with RS256-signed JWTs for Tableau Cloud.

Enriches CAP Node.js MCP query tool results with an interactive UI5 Web Components table when the host supports MCP Apps, and lets annotated service actions appear as toolbar or row buttons that invoke the MCP call tool.

Enables AI agents to automatically generate Multisim circuits, run simulations, extract experimental data, and export circuit diagrams, CSV, waveforms, and lab reports.

A Model Context Protocol (MCP) server that enables seamless integration between MATLAB and MCP-compatible applications like Claude Code. Execute MATLAB code, manage workspace variables, create plots, handle data I/O, and more - all through a token-efficient MCP interface.

A natural-language data analyst MCP server that lets users query SQLite sales datasets via MCP tools (list_tables, aggregate, time_series, run_sql) with read-only SQL safety guards, returning results through a FastAPI dashboard.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

Knowi’s MCP server gives AI tools full access to the entire analytics workflow. Knowi's 20+ specialized data agents automatically chain together to connect you datasources, write queries, build dashboards, and deliver reports.

An MCP server that enables LLMs to read and modify LTspice schematics, run simulations, parse results, and generate plots, all through natural language.