#invest

A Model Context Protocol (MCP) server for stock traders

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Model Context Protocol (MCP) to enable AI LLMs to trade using MetaTrader platform

MCP server to browse India's stock market

A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics. This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

Financial MultiAgent Colaboration with MCP Server with Tools

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep research intelligence. Use it to spin up programmable "VC brains" for pitch feedback, diligence simulations, term sheet negotiations, and more.

MCP server providing AI agents with access to financial data: SEC filings, price history, insider trades, earnings, dividends, and technical indicators. No API keys needed.

Extensive real-time Public Market (stocks, financial data, SEC, transcripts, 13-F) & Private Market Intelligence (private companies, funding, investors, M&A, debts, deep research). Perfect for investors, asset managers, & developers. For full access to Octagon Agents, sign up here: https://app.octagonai.co

A suite of Model Context Protocol (MCP) servers that enhance Claude's capabilities with real-time stock analysis, technical indicators, and financial news sentiment for smarter investment decisions.

PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence. Old-school raw historical price is out, our HTTP Streamable MCP service is the best way to power trading AI. With pre-digested real-time financial insights delivered directly to your AI models via HTTP Streamable MCP, you can make smarter trading AI — in 5 minutes, no complex pipelines required. Unlike traditional financial data providers that require custom API integrations, PlusE uses the standard Model Context Protocol delivered via HTTP to seamlessly connect financial data tools directly to your AI models. Our service preprocesses, filters, and condenses massive financial datasets into high-density data abstractions. These pre-digested insights eliminate information overload and enable your trading AI to make faster, more accurate decisions.

The Octagon Investors MCP server provides specialized AI-powered investor information and investment activity analysis capabilities by integrating with advanced investor intelligence agents. Covers comprehensive business intelligence, investment criteria, portfolio analysis, and market research.

Fonparam.com üzerinden yatırım fonlarına ilişkin güncel verilerin, performans istatistiklerinin ve karşılaştırmaların alınmasını sağlar.

Interactive dashboard for analyzing ETFs using both real time API data and historical data pulled through yfinance endpoints

A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.

Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you

Live trading edge library across futures, equities, and crypto. See which edges are firing right now, get exact entry/stop/target prices, or test any trading idea with real market data and institutional-grade backtesting. Every edge shows its formula, methodology, post-discovery performance, and full audit trail. 9 MCP tools including autonomous edge discovery. Built by a team from one of the most successful derivatives firms in Chicago.

Caplia is an MCP server for venture-capital pitch-deck scoring and deal-flow management. AI agents — Claude Desktop, Cursor, ChatGPT, Windsurf, or any MCP client — submit pitch decks, get back CRI (Caplia Readiness Index) quality scores plus thesis-fit scores, list companies in the caller's pipeline, pull data-room contents, and poll async jobs. Built for VC funds, accelerators, angel networks, and corporate-development teams. 12 tools (search/list/get companies, get CRI + thesis scores, list documents + signed URLs, submit decks for scoring). Production: https://mcp.venture.caplia.ai/ (cap_inv_live_* keys). Sandbox: https://mcp-sandbox.venture.caplia.ai/ (cap_inv_test_* keys). Auth: Bearer token from Caplia portal → Settings → API Keys. Docs: https://docs.venture.caplia.ai/integrations/mcp

Official MCP server for AskCyborg. Stress tests every public and private company through intense analyst debate, focused on what makes or breaks the business decisions that ride on them — packaged as 30-page reports, audio briefings, and a proprietary Cyborg Score (1-10) calculated from hundreds of data points per company. Four tools: - search_companies(query, limit) — search the corpus by name or industry keyword. Returns Cyborg Score, one-line strategic profile, and full report URL. - get_company_report(company) — full structured report with executive summary, Cyborg Score rationale, top insights, competitive positioning, and recent developments. - get_cyborg_score(company) — just the 1-10 score for fast lookups. - compare_companies(companies[]) — side-by-side comparison of 2-5 companies on score, industry, key insights, and competitive positioning. Hosted at https://mcp.askcyborg.com/mcp (Streamable HTTP transport, MCP 2025-03-26 protocol). Anonymous free tier: 20 requests/minute per IP, no API key required. Marketing/install page: https://askcyborg.com/mcp Source: https://github.com/Ask-Cyborg/askcyborg-mcp (MIT, TypeScript on Cloudflare Workers)

Research-backed financial education platform covering alternative assets, DeFi, behavioral economics, art investing, sustainability & climate finance, and gender lens investing. 7 tools: glossary lookup, full-text glossary search, browse by category (351 terms across 6 categories), module discovery, user routing, platform overview, and institutional research papers (43 papers from IMF, BIS, World Bank, Federal Reserve, etc). Built for high-net-worth women investors, female entrepreneurs, sustainability investors, ESG investors, DeFi investors, art investors and the wealth management firms that serve them. Educational content only — not financial advice. Included tools on how to speak to your financial advisor, reflection questions and quizzes.

KRTR are the pre-diligence AI experts — the intelligence layer for the people who fund, accelerate, and build early-stage companies. Pre-diligence is the work that happens BEFORE term sheets and formal due diligence — the screening, triage, and pattern-matching that decides whether a deal moves forward. Done well, it compresses weeks of analyst work into minutes and surfaces the specific gaps that drive better founder conversations. Upload a pitch deck and KRTR runs a multi-agent Assess Report in 5–10 minutes: typed agent waves across LLM cascades, an AI Reviewer validating every claim against industry-specific reasoning, scores calibrated on KRTR's proprietary industry rubric so a 78 on a SaaS deal means the same peer-relative position as a 78 on a biotech deal. For individual investors and scouts: triage deal flow, capture signals, set dispositions, prep for partner meetings. See live peer activity attributed within your firm, anonymized across competitors. For VC firms, accelerators, and incubators: screener-mediated or direct intake, attributed team signals, expert invites, configurable funnel stages, and AI-synthesized deal memos ready for partner or cohort review. For founders: see exactly how investors and AI score your deck, fix the gaps the platform flags, iterate in a private sandbox, then release updates and ping engaged reviewers. KRTR Connect surfaces matched investors and programs; the Dataroom and Meeting Brief tools close the loop on every conversation. KRTR is pre-diligence intelligence — built to drive evidence-based engagement, not replace human judgment.

Fundable MCP gives agents real-time access to funding, investor, and startup data Fundable is a startup and investor intelligence platform that gives growth teams, VCs, and founders a real-time view of the startup ecosystem. Growth teams use Fundable to discover newly funded companies at the right moment to sell. Investors use it to source deals, track funding activity, and monitor portfolio signals. Founders use it to map the investor landscape and find the right people to pitch. Access the full dataset through the Fundable site, REST API, bulk datafeed, or MCP.