"Finance-Oriented MCP Servers" matching MCP servers:

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

A feedback-oriented MCP server with a Web UI for AI development workflows, enabling interactive confirmations and reducing speculative tool calls.

Production-oriented MCP server for Microsoft SQL Server, enabling query execution, database discovery, schema introspection, and metadata inspection via MCP clients.

A learning-oriented MCP server that exposes basic tools (echo, add, reverse) over stdio transport to validate MCP handshake and tool calls.

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.

Enables AI agents to call deterministic finance tools (compound interest, loan payment, currency conversion, etc.) through MCP, with a shared tool registry used by both the agent loop and MCP clients.

Enables AI assistants to explore metadata, query data, and perform write operations across multiple Microsoft Dynamics 365 Finance & Operations environments. It features specialized tools for OData execution and data analysis with built-in read-only safety for production environments.

A production-oriented MCP runtime providing orchestration tools for IDE and agent integrations, including task management, diagnostics, and token usage reporting.

A remote MCP server deployed on Cloudflare Workers without authentication, enabling custom tool integration and connection to AI Playground or Claude Desktop.

Converts slide-oriented HTML into editable PowerPoint files via an MCP server, using Chromium for layout measurement and supporting editable text, shapes, images, and raster fallbacks.

Enables coding agents to safely investigate PostgreSQL runtime state through bounded, read-oriented MCP tools for row-and-foreign-key neighborhood inspection, schema and statistics lookup, and table listing, with truncation, redaction, timeouts, and audit logging.

Enables AI-assisted X++ development for Dynamics 365 Finance and Operations by pre-indexing the entire codebase and providing 54 specialized tools for metadata lookup, code generation, and best practice validation.

MCP server that establishes feedback-oriented development workflows with dual Web UI and desktop application interfaces, enabling AI to confirm with users via prompts and real-time feedback to reduce speculative operations and improve efficiency.

Gives Claude Code, Claude Desktop and Cursor access to Apple's full developer API surface — all 1,303 operations — so agents can manage app listings, builds and TestFlight testers, edit metadata and upload screenshots, handle pricing, in-app purchases and subscriptions, reply to customer reviews, and pull sales and finance reports. Includes searchable operation discovery, spec-validated calls, pagination, and read-only, write or full access modes with local key storage.

MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.

Establishes feedback-oriented development workflows with Web UI and desktop app, enabling AI to confirm with users before actions and consolidate tool calls into feedback requests.

A production-oriented MCP server for PostgreSQL that exposes database operations like query execution, schema introspection, and table metadata to MCP clients such as Claude Desktop and VS Code.

Connects Claude to Apple's App Store Connect API, letting you manage apps, builds, TestFlight beta groups and testers, customer reviews and replies, sales and finance reports, and team users through natural language. Write actions such as invites, beta review submissions, and review responses require confirmation before anything is sent.

Enables users to convert structured data into Token-Oriented Object Notation (TOON) to reduce LLM token usage and costs by up to 70%. It provides tools for encoding, decoding, and analyzing data formats like JSON, CSV, and XML to optimize prompt efficiency.