"Finance-Oriented MCP Servers" matching MCP servers:

A scoped aggregator MCP server that routes intent to the 4-7 relevant finance tools from a 43-tool catalog, reducing token cost and improving tool-selection accuracy.

A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.

Production-oriented MCP gateway for managing Codex through a persistent codex app-server process, supporting threads, autonomous goals, approvals, and HTTP/stdio transports.

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.

Enables AI agents to store and execute reusable protocol chains across sessions, driving multi-step procedures deterministically through activate, forward, and reward steps while echoing server-issued nonces, hashes, and URIs. Provides persistent memory and agent-oriented tool descriptions, resources, and error messages so agents can follow local procedures reliably in a fixed execution order.

Enables MCP clients to discover and invoke seven specialist tools—research, finance, risk, compliance, strategy, verification, and report—for orchestrating, validating, and synthesizing enterprise decision workflows.

A Model Context Protocol server that exposes Binance cryptocurrency exchange data to LLMs, allowing agents to access real-time prices, order books, and historical market data without requiring API keys.

Enables AI agents to perform cryptocurrency trading operations on Binance exchange through 30 comprehensive tools supporting spot trading, futures contracts, options, account management, market data analysis, and risk control features. Provides enterprise-grade security with local encrypted API key storage and supports multiple account types with sandbox environment testing.

Enables a restricted, auditable handoff bridge for publishing reviewed project summaries, submitting bounded tasks with idempotency, claiming work via one-time receipts, and reporting status between ChatGPT-compatible MCP clients and local Codex-oriented workers.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

A production-oriented MCP runtime providing orchestration tools for IDE and agent integrations, including task management, diagnostics, and token usage reporting.

Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.

Bridges Agent2Agent (A2A) remote agents to MCP clients by projecting each agent skill as a namespaced MCP tool. Enables stateless, task-oriented invocation of A2A agents through the MCP Tasks extension.

Enterprise-grade MCP server with multi-agent system for business AI transformation across finance, healthcare, retail, and other domains. Provides specialized AI agents for data analysis, API execution, business validation, and report generation with real-time monitoring and observability.

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.

Enables AI tools to interact with Firefly III personal finance management instances through a cloud-deployed MCP server. Supports financial operations like account management, transactions, budgeting, and reporting with configurable tool presets.

A local MCP bridge that connects AI clients such as Claude Code, Cursor, Codex, ChatGPT, and Hermes to 2,000+ models and APIs, letting agents discover, inspect, and run search, social, scraping, finance, LLM, image, video, and audio capabilities behind a single browser sign-in. It keeps spending verifiable by exposing live schemas, pricing, run status, account balance, and rollback before anything executes.

Lets AI coding clients discover, inspect, and run 2,000+ AI models and data APIs—including search, social, scraping, finance, image, video, and audio—from their own sessions after a single browser sign-in. It also supports catalog browsing before any spend, per-call pricing checks, run-status and cost review, and rollback of client configuration.

A local bridge that lets AI clients discover, inspect, and run 2,000+ AI models and data APIs—search, social, scraping, e-commerce, finance, image, video, and audio—after a single browser sign-in. It exposes tools for catalog discovery, schema and pricing inspection, run status tracking, and account balance checks, with data APIs free and models billed per call.

Connects AI coding assistants and other clients to 2,000+ models and APIs — search, social, scraping, e-commerce, finance, plus LLM, image, video, and audio generation — through a local MCP bridge that needs no per-API keys. Users approve a single browser sign-in, then agents can discover, inspect pricing and schemas, run calls, track run status, and roll back configuration changes.