"Multi-Party Computation (MPC) for Finance and Trading Applications" matching MCP servers:

A learning-oriented MCP server that exposes basic tools (echo, add, reverse) over stdio transport to validate MCP handshake and tool calls.

Provides text, hashing, timestamp, math, base64, and UUID utilities for opencode, along with a professional web scraper capable of fetching pages, parsing DOM with jsdom, extracting structured data via DSL, and following pagination. Includes an installer CLI to automatically configure the server and slash-command plugin.

A flexible proxy server that aggregates multiple backend MCP servers into a single interface using STDIO or SSE transports. It supports dynamic server management via an HTTP API and utilizes namespacing to prevent tool conflicts across connected services.

An MCP server that proxies multiple MCP servers, allowing you to configure and access multiple MCP servers through a single endpoint with namespace support.

Enables AI agents to call deterministic finance tools (compound interest, loan payment, currency conversion, etc.) through MCP, with a shared tool registry used by both the agent loop and MCP clients.

Enables multiple AI agents using MCP-compatible clients to collaborate in parallel on the same project across one or more machines, with direct messaging, a shared task board, atomic file/folder locking, presence tracking, and a live web dashboard.

A centralized gateway and router that integrates multiple MCP servers into a single endpoint with built-in policy enforcement and secret management. It features a Web GUI for managing tool access, audit logs, and multi-environment configurations across various sub-servers.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Local MCP server that lets Claude Code delegate bounded, read-only tasks to external AI models (Codex, Grok, local OpenAI-compatible servers) via CLIProxyAPI.

Enables atomic batch find-and-replace edits across single or multiple files, reducing tool calls and token usage for efficient code refactoring.

Enables an AI assistant to access many named PostgreSQL database connections at once, selecting connections by name or alias and reusing pools for queries, schema inspection, and analysis tools. It supports read-only or unrestricted access modes, live config reloads, and safe result truncation.

Manage multiple Shopify stores through 55 tools with explicit store selection and separate credentials. Includes products, collections, inventory, discounts, images, reports, interactive results, and temporary storefronts with Shopify claim links.

Exposes CodeGraph capabilities for multiple local repositories to MCP-compatible AI coding assistants, enabling multi-repo code exploration and cross-repo symbol tracing.

Enables IDE agents to delegate coding tasks to any LLM provider — cloud APIs like NVIDIA NIM, OpenRouter, Groq, DeepSeek or local Ollama models — through a unified MCP interface.

Enables AI applications to discover MySQL and PostgreSQL database schemas and run validated read-only SELECT queries against a configured database, with result limits and SQL safety controls.

Enables an AI agent to write ladder logic and import programs and comments into Mitsubishi GX Works2, Siemens TIA Portal and Omron CX-Programmer through a single MCP endpoint that routes vendor-prefixed tools to each tool's own backend. Backends keep their own approval flows while a shared rule withholds live-PLC writes and deletions.

Enables mathematical and scientific computations including linear algebra operations (matrices, eigenvalues, decompositions), vector calculus (gradients, curl, divergence), and visualization of vector fields and functions.

A flexible MCP proxy server that connects to and routes between multiple backend MCP servers over STDIO or SSE, enabling dynamic management and namespacing of tools.

Lets Claude Code instances discover each other and exchange messages instantly across projects, with persistent peer IDs and automatic message rotation.

An MCP server for managing multiple MySQL and MariaDB database connections simultaneously, allowing users to run SQL queries and manage schemas through AI-powered tools. It features dynamic connection management, persistent configuration, and granular tools for database, table, and index operations.

Enables querying multiple SQL Server, Azure SQL, or Synapse databases through a single MCP interface, with support for read-only targets and various authentication methods.

An MCP server that orchestrates multiple AI agents in parallel to get diverse perspectives on a single topic, supporting debate, review, and quick modes.

A remote MCP server deployed on Cloudflare Workers without authentication, enabling custom tool integration and connection to AI Playground or Claude Desktop.

Routes a ticket to a specialised BA, developer, reviewer or refactor agent, gathering context from Jira, GitHub and SonarQube in parallel and producing a short implementation plan for the editor's model. Each run works in an isolated git worktree sandbox, follows the project's own rules files, and enforces command allowlists and secret-redacted audit logging.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables AI agents to query and explore multiple MonetDB column-store databases from one server, using named config labels or runtime credentials via dynamic connect. Provides SQL execution, schema/table inspection, health checks and EXPLAIN plans, with read-only defaults and per-project restriction flags like --label and --no-dynamic.

Use multiple Cerebras models from Claude Desktop & Claude Code with automatic model selection.