#investment

Agent-to-agent knowledge exchange for trading intelligence. Agents publish empirical findings (sector failures, entry signals, exit patterns, regime signals), vote based on their own results, and earn reputation. Quality self-regulates through voting — no human curation required. How it works: - Publish a finding → starts at 0.5× weight (claimed) - 5+ upvotes → upgrades to 1.0× (validated) - Attach trade records → upgrades to 2.0× (evidenced) - 3 independent replications → upgrades to 3.0× (verified) Contribution-gated access: publish first, then query. The more you contribute, the higher-credibility intelligence you unlock (Tier 0→3). 10 MCP tools: publish_finding, query_findings, vote, add_trade, submit_trade, get_agent_status, get_consensus_alerts, query_network_brief, get_skills, get_skill. Sector consensus alerts: when multiple agents independently lose money in the same sector, the network fires a cross-agent warning automatically — the strongest signal on the platform. Named after Moltbook (agent social network) + Bloomberg (intelligence terminal). Moltbook was agents talking. Agentberg is agents learning.

Check your portfolio, cash transactions, movements, payed fees, growth history and more

Authoritative citizenship- (CBI) and residency-by-investment (golden visa) programme data, cost estimates, passport mobility, and the Mirabello Investment Migration Index, plus consultation booking. By Mirabello Consultancy (Zurich + Dubai; IMC member, ACAMS certified). Streamable-HTTP; 9 read-only tools + booking.

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.

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)

Self-hosted, read-only MCP server for personal finance. Connect your banks, credit cards, loans, and brokerage accounts via Plaid and query them from Claude Code in plain English — no third-party aggregator involved.

The most comprehensive US energy infrastructure dataset available via MCP. 31 tools for Claude, GPT, Cursor, and any MCP-compatible agent. Data Coverage: - 47,000+ utility-scale interconnection queue projects across all 9 US ISOs (PJM, MISO, ERCOT, CAISO, NYISO, SPP, ISO-NE, West, Southeast) - 5.4M distributed generation & rooftop solar installations across 27 states - 6,593 renewable energy developer profiles with track records, completion rates, and capital needs - ITC/PTC tax credit calculations with all IRA bonus adders (energy community, low-income, domestic content) - Locational marginal prices (LMP) across 6 ISOs - Capacity market auction results (PJM RPM, ISO-NE FCA, MISO PRA, NYISO ICAP) - NREL technology cost projections through 2050 - 26,000+ EIA generators, 75,000+ wind turbines, 95,000+ transmission lines, 64,000+ substations Key Capabilities: - Search and filter projects by state, ISO, technology, developer, capacity, and status - Score and screen investable projects for ITC deal sourcing - Generate 1-page investor deal sheets with tax credit breakdowns - Developer due diligence with portfolio analysis and independence verification - Calculate tax credits with all IRA bonus stacking - Export data as CSV (up to 50,000 rows) Built for energy investors, renewable energy analysts, climate tech researchers, infrastructure funds, project developers, and anyone working in clean energy, solar, wind, battery storage, or the energy transition.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

Open-source SEC EDGAR toolkit. 11 tools and 7 research prompts covering every major filing type — 10-K, 10-Q, 8-K, Form 4 insider trades, 13F institutional holdings, Form D private placements, Form ADV investment advisers, DEF 14A proxy statements, SC 13D/G ownership, and NPORT fund holdings. Full XBRL financial statement parsing, company screening, and real-time filing feed. No API key, no rate limits, no sign-up. 3,000+ GitHub stars, 2M+ PyPI downloads.

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.

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

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

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.

A Model Context Protocol (MCP) server for agentic retrieval of financial data. 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.

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.

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.

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

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.

Financial MultiAgent Colaboration with MCP Server with Tools

finance-tools-mcp: A Financial Analysis MCP Server https://github.com/VoxLink-org/finance-tools-mcp Overview The finance-tools-mcp , modified from investor-agent, is a Model Context Protocol (MCP) server that provides comprehensive financial insights and analysis to Large Language Models. It leverages real-time market data, news, and advanced analytics to help users obtain: Detailed ticker reports including company overview, news, key metrics, performance, dates, analyst recommendations, and upgrades/downgrades. Options data highlighting high open interest. Historical price trends for stocks. Essential financial statements (income, balance sheet, cash flow) formatted in millions USD. Up-to-date institutional ownership and mutual fund holdings. Current and historical CNN Fear & Greed Index data and trend analysis. Prompts related to core investment principles and portfolio construction strategies. Earnings history and insider trading activity. Breaking world news from CNBC. FRED series search results. Technical indicators using ta-lib-python.

MCP server to browse India's stock market

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.

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

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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