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

Enables Hermes agents to build and run auditable startup financial models, validate inputs, execute linked-statement scenarios, verify results, summarize outcomes, and perform sensitivity analyses through six finance tools.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

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.

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 to create, iterate, and export 3D models through natural language conversations with an LLM by bundling OpenSCAD via WebAssembly for zero-setup 3D modeling.

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 intelligent agent that responds to financial queries about TreePod Glamping directly within Claude Desktop using MCP protocol, providing tools for tariff calculation, occupancy checking, financial analysis, and business reporting.

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.

An MCP server that exposes 218 Blender tools for full 3D modeling pipelines, with a LangGraph agent layer for planning, executing, observing, and reviewing modeling tasks with evidence-based verification.

The Power BI Modeling MCP Server implements the MCP specification to create a seamless connection between AI agents and Power BI semantic models. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows.

Institutional Financial Intelligence MCP Server for Claude Desktop & AI Agents. Sub-second market data, technical indicators, SEC EDGAR 10-K parsing, and local SQLite backtesting.

Enables MCP clients to list SEC filings, search their pages using hybrid retrieval and learned reranking, and read specific pages over stdio.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Exposes portfolio allocation, concentration risk, retirement projections, RAG document search, and a full multi-agent financial advisor query as MCP tools for use from Claude Code.

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.

Provides Korean-specific financial calculators (4 insurances, salary net, severance pay, capital gains tax, DSR/DTI, FX conversion, housing subscription score) as MCP tools for AI agents.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

MCP server to fetch Vietnamese corporate financial reports (balance sheet, income statement, cash flow) from cafef.vn using public API, no PDF or OCR needed.

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.

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

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 AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables AI agents to calculate Basel III SA-CCR exposure, run Monte Carlo PFE simulations, compute portfolio VaR/CVaR, and aggregate option Greeks through standard MCP tools and resources.

Enables LLM-powered agents to generate, execute, and analyze Alloy modeling language code for software modeling and formal verification. Provides tools to run Alloy models, access documentation and examples, and generate models from system descriptions.

Enables an AI assistant to control a Hyprland/Wayland Linux desktop through 178 tools across 30 categories, covering audio, window and workspace management, themes and wallpapers, screenshots and recording, Bluetooth, media playback, notifications, system stats, and chained multi-step macros. Everything runs locally via hyprctl, PipeWire, and standard Linux utilities, with no cloud dependencies.