"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.

A resilient MCP server wrapping FiinQuant/FiinQuantX Python SDK for Claude Desktop and Cursor, providing market data, fundamental analysis, screening, and technical indicators via stdio with timeouts, error envelopes, and free-tier guards.

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.

Independent, read-only MCP servers for FINOS AI Governance Framework (24 risks, 25 controls), Common Domain Model 7.8.0 (767 types, 1,143 JSON schemas), and FDC3 (19 intents). Explore controls, validate trade JSON, and discover desktop actions using local Python/uvx stdio tools with offline standards data. v0.3.1. Not affiliated with or endorsed by FINOS.

Enables Claude to search, download, and summarize any of the 17,167 official BCRP statistical series, each figure computed in Python and returned with its source URL. It also supports a cross-country comparison tool backed by World Bank indicators for GDP, inflation, unemployment, and other metrics.

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.

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

Self-hosted Fresha API and MCP server in Python: 17 Fresha tools for appointments, clients, services, team and reviews, on the session of your own Chrome. Personal use.

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.

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.

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.

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.