"Python" matching MCP servers:

Paybond Kit for Python is the PyPI package for tenant-bound Paybond integrations and delegated agent spend controls. It opens hosted Gateway sessions, verifies capability tokens, authorizes tool-call spend, signs intent and evidence payloads, uses Stripe Connect, Stripe ACH Direct Debit, or x402 / USDC-on-Base settlement rails, reads tenant-scoped Signal, fraud, ledger, protocol, and A2A data, and

Exposes the SiftingIO market-data SDK to AI assistants, enabling live prices, fundamental data, and market information retrieval.

A minimal Python MCP server over Streamable HTTP using FastAPI, exposing demo tools like ping, get_positions, and list_upcoming_corporate_actions that can be replaced with read-only adapters to custody data.

Enables managing personal expenses through MCP tools for registering and listing gastos, reusing the backend's service layer.

Enables local, fail-closed futures trading between WorkBuddy/MCP and InfiniTrader PythonGO v2, exposing 31 MCP tools for market and account queries, trade previews, and order submission while enforcing hard risk controls and an observe-only default.

Enables querying Türkiye Sigorta Birliği’s Kasko Değer Listesi (vehicle insurance valuation list) through MCP, CLI, and Python, allowing natural language lookup of current and historical vehicle insurance values.

Read-only Python MCP server for TA-Lib indicator discovery and computation.

Counterparty risk scoring for agentic commerce. Scores wallets, domains, IPs, and companies 0-100 before AI agents transact via x402 micropayments on Base

A Node.js MCP server that provides tools for interacting with the Sienge API, covering modules like nucleus, cadastros, and compras with parity validation against the Python version.

Enables generating Python code for Meritz Securities Open API calls, including API search, detail retrieval, and code generation, without requiring an app key.

Lets MCP clients query financial news as structured, sourced statements and topics — searching by symbol, sector, theme, sentiment, importance and time range, and retrieving trending developments, topic detail, news-volume and sentiment series, and attention-screened symbols or sectors. It also exposes reference metadata such as the data window and known incidents.

Provides AI agents with real-time access to corporate credit data, including debt structures, bond pricing, and guarantor chains extracted from SEC filings. It enables complex financial analysis such as screening companies by leverage, tracing corporate hierarchies, and searching covenant language.

A Python backtest framework for futures research, designed from the start to be driven by LLM coding agents through an MCP server. What's in the package: echolon-mcp — stdio MCP server with 23 tools (strategy validation, scaffolding, indicator catalog, error-code lookup, parameter codegen) 22 in-package skills (component contracts, indicator-naming rules, parameter architecture, the

Enables MCP-compatible AI agents to access Polymarket prediction-market data and run Python 3.12 in an isolated sandbox, with each call paid automatically in USDC on Base.

Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.

An advanced MCP server for real-time worldwide stock market data, technical indicators, financials, news, and Python sandboxing with AI models, supporting US and Indian markets.

Python/stdio MCP connector providing timestamped crypto intelligence for ten assets: prediction-market intelligence, market regimes, sentiment, funding, liquidity, asset rankings, and component-score explanations. Public access without signup, API keys, or trial activation; no trade execution.

基于FastMCP的HyperLiquid交易MCP服务器，为AI助手提供市价/限价订单、仓位管理、市场数据等工具，支持与HyperLiquid永续合约和现货交易平台交互。

Enables running quantitative finance coding tasks through MCP, where an agent writes, executes, and repairs Python code using discovered library functions and returns structured results along with saved artifacts.

A powerful SQLite-backed expense tracking server built with the Model Context Protocol (MCP). This server allows AI agents (like Claude) to manage your personal finances by adding, deleting, and listing expenses directly from your chat interface.