"Finance-Oriented MCP Servers" matching MCP servers:

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

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.

Enables offline-first retrieval and teaching-oriented explanation of Stellaris game knowledge through BM25 search, page and section access, glossary and UI-label lookup, learning paths, ingestion queues, and optional timestamped video retrieval.

An MCP server that enables Claude Desktop to access and analyze financial data through Yahoo Finance integration.

A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.

A Model Context Protocol server that retrieves real-time financial and company data using the financialdatasets API. It provides a standardized interface for integrating financial data into agentic frameworks like Agno and Smol Agent.

Provides AI assistants with contextual access to Berlin Group Open Finance API specifications, enabling specification-compliant guidance through semantic search, graph database queries, and document retrieval.

Provides 17 business-vertical knowledge specialists as callable tools, returning cited insights from a curated knowledge base. Enables any MCP client to query expert guidance across sales, marketing, finance, legal, and more.

Integrates with SerpAPI and YouTube to provide comprehensive search capabilities across Google Search, News, Scholar, Trends, Finance, Maps, Images, YouTube, and transcript retrieval for AI assistants.

Provides an evidence-oriented MCP interface for Evidence RAG Pilot, enabling retrieval of evidence packages, chunks, and evidence images from PDF-based corpora.

Provides real-time financial data from Yahoo Finance to Large Language Models through the Model Context Protocol, enabling AI models to access stock prices, historical data, and company information.

Enables AI assistants to interact with Delta Lake tables stored in MinIO through Spark using natural language queries. Provides read-oriented data operations on Delta Lake tables through the Model Context Protocol.

A demonstration server for the Model Context Protocol (MCP) that exposes calculator and Yahoo Finance tools, allowing LLMs to interpret natural language requests and make tool calls via the MCP standard.

Enables AI-powered natural language stock market queries with real-time data from Yahoo Finance and CSV fallback. Uses Google Gemini to interpret queries and automatically fetch stock prices, comparisons, and market summaries.

Enables natural language querying of Dynamics 365 Finance & Operations by using Azure OpenAI to generate OData queries, fetch data, and refine responses.

Provides tools for RAG-based financial document retrieval, financial calculations, Yahoo Finance stock data, and portfolio analysis via JSON-RPC 2.0 protocol.

MCP server for NFL fantasy football retrieval, providing access to NFL stats and Sleeper league data through retrieval-oriented tools.

Returns verified financial data (SEC EDGAR & FRED) with machine-readable citations. Guaranteed zero hallucinations for AI agents.

Integrates Yahoo Finance API with LLaMA 3.2 3B, allowing users to retrieve real-time stock prices, company information, historical data, and market news while maintaining the model's original capabilities.

Enterprise-grade MCP server with multi-agent system that enables AI-powered business transformation across finance, healthcare, retail, manufacturing, and technology domains through specialized agents for data analysis, API execution, and report generation.

Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.

A portfolio analysis MCP server that enables AI agents to manage investment portfolios, fetch financial data from Yahoo Finance and CoinGecko, and perform advanced analysis like weight optimization and Monte Carlo simulations. It utilizes reference-based caching to efficiently handle large datasets without bloating the LLM's context window.

Licensing infrastructure for premium content from specialist publishers in geopolitics, finance, AI and industry. License articles for your AI product to answer from, take a publication's full catalogue, license it for training, or show it to your clients, all under one contract, with every use tracked and the publisher paid.

AgisHub provides a diverse set of pay-per-call tools for AI agents—covering timezones, web extraction, AI, memory, webhooks, finance, and utilities—accessible via a free MCP tier or x402 HTTP micropayments in USDC on Base, with no signup or API keys required.

Enables secure role-based querying of company documents across different departments (Engineering, Finance, HR, Marketing) with access control that restricts data visibility based on user roles. Provides retrieval-augmented generation with source citations and metadata for trusted corporate knowledge access.

A Model Context Protocol server providing real-time stock data and options analysis through Yahoo Finance, enabling LLMs to access market data, analyze stocks, and evaluate options strategies.

Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.

Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries through the Model Context Protocol.

Enables AI-powered ROI prediction and tracking with Monte Carlo simulations, Dutch market validation, and multi-project comparison. Supports natural language input for financial projections, risk analysis, and industry benchmarking across sectors like finance, healthcare, retail, and manufacturing.

MCP server + RAG chatbot that makes your MDX documentation searchable by AI assistants. Built on BM25 + metadata filtering.