"Deutsche Bank" matching MCP servers:

A fully local, closed-world MCP server that manages, validates, and serves bank-specific ISO 20022 clearing profiles and rule packs, enabling AI agents to discover profiles, fetch them, lint payloads against them, and validate rule-pack definitions.

An (unofficial) MCP server for the Deutsche Bahn Timetables API — station search, planned departures, and real-time changes (delays, platform changes, cancellations) as tools for Claude and other MCP clients.

Converts customer-supplied PDF bank statements into checked Excel, CSV, or JSON with balance validation. Runs locally with your own MainBook API key or against MainBook's hosted endpoint, and it never connects to bank accounts.

MCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.

Plan-bank MCP for AI agents and Notion. Agents read and write Markdown implementation plans with line + section addressing — no ad-hoc temp scripts.

Provides access to Deutsche Bahn's timetable data through MCP, enabling real-time train schedules, station search, and change tracking for German railway stations.

Enables MCP clients to access live Deutsche Bahn timetable data, including connections, departure and arrival boards, platforms, delays, fares, and disruptions, by querying bahn.de directly with no API key.

Provides access to Deutsche Bahn train timetables, station information, and schedule changes through Model Context Protocol tools and resources.

MCP server for interacting with Tochka Bank API, enabling balance checks, payments, invoices, and other banking operations through Claude.

A Model Context Protocol server that provides persistent project context management for AI-assisted development, specifically designed for the Cline VSCode Extension.

Provides a read-only MCP interface to query and retrieve verifiable evidence from a local memory bank, supporting search, dossier, chronology, source, and evidence tools.

An MCP server that gives AI assistants persistent memory across sessions. It stores project context, decisions, and progress in structured markdown files as well as a knowledge graph and sequential thinking for better memory storage.

Model Context Protocol server exposing the bankstatementparser library as first-class agent tools for reading bank statements.

One-call Australian economic data plumbing via the RBA — cited responses for rates and macro series, not a data broker.

Serves the canonical Tank Fight specification, enabling clients to query game parameters, maze layouts, and rules via MCP tools.

Irish and UK official statistics by county and local authority: CSO, Central Bank, government and council data joined on one geography, with caveats on every figure and a comparability check. Built for AI agents.

A read-only MCP server for the open-banking.io PSD2 API that lets AI agents query personal bank balances and transactions via natural language, with zero-knowledge encryption ensuring all sensitive data is decrypted in-process and never exposed to third parties.

MCP server for the Brazilian Central Bank (BCB/SGS) public API, providing access to 18,000+ economic time series. Includes a curated catalog of 150+ popular indicators organized in 12 categories: interest rates (Selic), inflation (IPCA, IGP-M, INPC), exchange rates (USD, EUR), GDP, employment, credit, fiscal data, and more. Supports historical queries with date filters, latest values, metadata loo

Gives AI agents structured, typed access to Canadian open data through a single server covering Statistics Canada tables, Census and public use microdata, the Bank of Canada, CMHC, federal agencies and federal, provincial, territorial and municipal open-data portals, in English and French. It offers roughly 200 tools for querying, planning multi-source queries, and generating reproduction code in R, Python, Stata or Julia.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.