"How to modify local files" matching MCP servers:

将akshare、yfinance、wbgapi、arxiv等免费公开接口封装为4个标准MCP工具，使支持MCP的智能体无需第三方账号和云额度即可直接查询金融市场、宏观经济和学术论文数据。

A lightweight local MCP server that enables users to add, list, edit, and delete expenses via SQLite database through natural language in MCP-compatible clients.

Enables local-first personal finance management through deterministic tools for importing, categorizing, and analyzing bank transactions.

Enables AI agents to query a local PostgreSQL-backed mock financial database, retrieving a user's recent transaction history and flagging transactions that exceed a given spending threshold.

Exposes the full Gate API v4 to MCP clients with 384 tools for spot, futures, margin, wallet, and more. Supports both public endpoints (no auth) and authenticated trading operations.

Enables AI assistants to securely read and analyze local files such as CSV, JSON, and PDF from the project directory, allowing tasks like spending analysis.

A simple MCP server that exposes stock price lookup tools, demonstrating how to set up MCP from scratch with Ollama.

Enables AI agents to query The Economist's Big Mac index from 2000 to the latest release, retrieving a country's local price, dollar price and exchange rate, or ranking currencies by how over- or under-valued they are against the dollar, euro, pound, yen or yuan, both raw and GDP-adjusted. Keyless, with historical releases, alias handling and full source attribution.

Bridges a local Tongdaxin client to MCP, exposing tools for market data, financial information, sector management, terminal push, simulated trading, and automatic price alerts, enabling natural-language data retrieval, analysis, and order operations through agents.

Enables local read-only exploration of Quicken Simplifi financial data through MCP, with tools for searching transactions, categories, tags, and merchants, using a local SQLite cache and token-based authentication.

Enables local, private receipt management for users and their agents, with all BillCheck MCP tools for creating, updating, and sharing receipt data without requiring an account, cloud database, or model API key.

AI-powered expense tracking MCP server that connects LLM clients to PostgreSQL for natural language expense management.

A local MCP server for tracking personal expenses using SQLite, enabling users to add, list, and summarize expenses via natural language.

Enables validation and PDF rendering of Guatemalan FEL invoices from XML files. Supports single file processing and batch operations with branded PDF output for local tax compliance workflows.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.

MCP server for Lexware Office that enables querying and managing contacts, sales documents, vouchers, files, payments, and webhooks through a sandboxed two-tool interface (search/execute) with read-only-by-default write safety.

Provides read-only tools to query live Polymarket prediction-market data via the public Gamma API, enabling search, browsing, and detailed market and event information.

Enables agents to fuzzy-screen person and company names against the OFAC SDN/Consolidated, EU, UK and UN sanctions lists downloaded fresh from official sources, returning potential-match statuses, 0–100 scores and listing details via a billed screening tool, plus a free local tool that lists covered sources, score scale and disclaimer.

MCP server providing deterministic cost anomaly detection for cloud billing and auditable architecture risk scoring, enabling AI agents to identify waste and risk with explainable rules.