"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP servers:

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 agents to browse, trade, and create prediction markets on Context Markets. Supports wallet management, order placement, and market creation through MCP tools.

A server that implements the Model Context Protocol for Schwab API, allowing access to account information, positions, stock quotes, and order/transaction history designed for integration with Large Language Models.

Provides live cryptocurrency market data including current prices, 24h stats, and top movers, accessible via MCP with a pay-per-call model.

Autonomous DeFi yield for AI agents on Base. Query APY rates, agent status, payment splits, and referral stats. 4 read-only tools + 1 resource.

An MCP server that exposes personal financial data — transaction ledger, portfolio holdings, live/historical market prices, and quantitative risk metrics — as standardized tools, resources, and prompts, enabling natural language reasoning over real computed numbers.

Provides AI agents with read-only access to live chart context, candles, drawings, indicators, and provider status from the MyLinedChart desktop app, all running locally.

Trust infrastructure for the agent economy.

MCP server for parsing, validating, building and explaining FIX protocol trading messages — offline, no API keys.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

Enables AI clients to use developer utilities like JSON formatting, JWT decoding, UUID generation, and more via MCP.

The MCP server for AlphaForge — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP.

Connects MCP-compatible AI agents to GT Protocol trading accounts, enabling natural language control of automated trading bots, strategy backtesting, deal execution, and balance monitoring on Binance and Hyperliquid exchanges.

Provides read-only access to self-hosted cash-flow forecasts, balances, transactions, and credit-card data, letting AI clients answer spending and upcoming-obligation questions without modifying financial settings.

Enables AI agents to execute prediction-market trades through a risk-control gateway that enforces signed mandates and generates proof trails for accountability.

Portfolio-aware crypto context for AI agents. Discover holdings, market, sentiment, macro, and regime; optional allocation analysis. Hosted streamable HTTP MCP with x402 on Base (USDC/EURC). Privacy: pass-through only — keys never stored. Also on PyPI: pip install "alloc-context\[mcp]". Integration: https://github.com/negillett/alloc-context/blob/main/docs/agent-integration.md

An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.

Institutional treasury standard for AI agents on Base. Holds capital in GBLIN (Crash-Shield-protected index) and enables JIT swaps to USDC for x402 invoice settlements.

Enables AI agents to query merchant operational signals like return rates, fulfillment accuracy, and chargeback ratios published through the Disclose protocol. Provides tools to fetch merchant disclosures and check signal coverage for completeness.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.