LSEG
LSEG Financial Analytics over MCP.

618 MCP servers with 12,363+ tools, ready to connect to Claude, ChatGPT, Cursor and Agentman agents over the Model Context Protocol.
92 of 618 connectors in FinanceShow all
LSEG Financial Analytics over MCP.
Query private-credit portfolio data — borrower financials, covenant status, reporting deliverables — from an AI agent.
Query LunarCrush social and market data: sentiment, engagement, creator metrics and price history for crypto, stocks…
Read Mastercard's API catalog, docs and integration guides.
Read Mercury business banking balances, transactions, cards and recipients.
Read and write QuickBooks Online, including journal entries and deleting or voiding transactions.
Query Moody's credit ratings, scorecards, research and entity data.
Query Morningstar fund data, analyst research and screeners.
Query CMBS deal, loan and surveillance data.
Query MSCI indexes, fund benchmarks, holdings and climate metrics.
Search and read licensed real-time financial news from an AI agent.
Read MYOB Business financial summaries from an AI agent.
Create and send invoices, capture order payments, issue refunds, manage subscriptions and resolve disputes.
Query Paytm merchant orders, payment links, refunds, settlements and subscriptions.
Check your PicPay balance, cofrinhos, credit-card invoice, boletos, Pix limits and statement from your AI assistant.
Query a Pine Labs merchant account: orders, transactions, settlements, subscriptions and success rates, plus checkout…
Pull institutional equity research — earnings recaps, guidance, proxy reviews, red flags, screeners, watchlists.
Search PitchBook's private-capital database — companies, deals, funds, investors, people.
Read your own Plaid developer dashboard: Link funnels, API usage, team lists, Item diagnostics.
Issue virtual payment cards, set spend limits, pause or permanently close them, and read the full card number.
Read a European business bank account and act on invoicing, cards and approvals.
Query earnings call transcripts, filings, slide decks and financials for 15,000+ public companies.
Query corporate card spend from your AI assistant: tools stage Ramp data, execute_query runs SQL.
Ramp Rate software benchmarks and the Ramp AI Index, as aggregated market data.
Product names and logos belong to their owners. Each connector is built by its own developer, and Agentman is not affiliated with them. The ones Agentman builds and runs are marked “Built and run by Agentman”.
A server that exposes a tool’s capabilities over the Model Context Protocol, so an AI agent can call them directly. It is the standard way to let an assistant act in a system rather than just describe it.
Each server page carries its connection URL, which works in any MCP-compatible client. In Agentman Studio connecting is one click and there is no config file to edit.
Most are not. Each is built by its own developer, and each page names them and links to their documentation. The few Agentman builds and runs are marked “Built and run by Agentman”. Every page lists what the server exposes and cites the sources its factual claims come from.
Each page lists the tools the server exposes. Where we could read the server directly, every tool carries the safety label its vendor gave it: read-only, acts, or destructive. Each page also has a Limits section; read both before connecting anything to a production system.
Connect any of these once and your agents call their tools on their own: on a schedule, in a workflow, with nobody at the keyboard.