"Collaboration and Documentation Platform by Atlassian" matching MCP servers:

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.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

Enables AI agents to drive the kepler.gl demo map by loading data, adding and recoloring layers, changing basemaps, applying time filters, and toggling split views through MCP.

Turns an LLM into a Maltego CE investigation copilot, enabling AI-assisted OSINT investigations by building, analyzing, and exporting Maltego graph files.

Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.

Enables AI to analyze trade quality by fetching real price action around fills, generating annotated candlestick charts, and computing metrics like MAE/MFE, R-multiple, and capture efficiency.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.

Creates Tableau workbooks from a declarative JSON spec, validates them by opening in the installed Tableau Public application, and publishes to Tableau Public through the desktop UI.

MCP server for interacting with local Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure editing, and PBIR visual management via natural language.

Enables users to generate volcano plots by submitting jobs with input files and parameters, supporting local or Docker execution.

Enables AI assistants to create Evidence reports and dashboards by providing tools to query database schema, read documentation, edit pages, and debug code.

A production-grade MCP server that exposes Tableau Server/Cloud as a BI platform, enabling project, workbook, data source, user, group, job, lineage, and export operations via natural language, with role-based permissions and token optimization.

MCP server for Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure management, refresh, .pbix-to-.pbip conversion, and PBIR visual editing.

MCP server for semantic spreadsheet operations that lets LLMs create and edit Excel workbooks by describing spreadsheet intent.

Connects AI clients to the Matih data platform, enabling SQL queries, table profiling, analytics, chart creation, and file uploads through MCP tools with OAuth/PKCE authentication.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.