"Resources and Tools for Financial Modeling" matching MCP servers:

Enables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.

Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables AI assistants to clean PDB structures and run initial-stage energy relaxation for biomolecular modeling. It provides a structured workflow for preparing structures before production molecular dynamics or coarse-graining pipelines.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A TypeScript MCP server for financial data aggregation that connects AI assistants to SEC EDGAR filings, XBRL statements, FRED economic indicators, and real-time market data.

Enables persona-configurable financial research and answers questions about 24 US-listed companies across three sectors, grounded in a SQLite database via MCP tools.

A comprehensive MCP server for structured threat modeling using STRIDE methodology, with automatic code validation and report generation.

An MCP server that provides comprehensive access to real-time stock quotes, financial statements, analyst estimates, and technical indicators via the Financial Modeling Prep API. It enables users to conduct in-depth financial analysis and track market performance through specialized tools, resources, and prompt templates.

Enables multi-agent financial research through MCP, combining live or offline market, news, fundamentals, document RAG, and risk tools with critic review, synthesis, and execution tracing.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables querying stock quotes and computing portfolio risk/return metrics such as Sharpe ratio, drawdown, volatility, and correlations, as well as historical summaries and asset comparisons.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Provides AI assistants with real-time stock prices, financial statements, SEC filings, and analytical tools like DCF valuation and ratio analysis.

Enables MCP clients to retrieve stock market and company financial data, including quotes, overviews, ratios, historical prices, income statements, and stock comparisons, via a set of tools.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.