"Vector Database" matching MCP servers:

Enables LLM agents to access Global Database's company intelligence, including company profiles, financials, ownership, people search, prospecting, and KYB/compliance lookups against official registries.

A local MCP server that enables users to query the CFPB Consumer Complaint Database through natural language, retrieving financial consumer complaint records via the CFPB API.

Parse and query investment statements from multiple institutions (Questrade, Interactive Brokers, Scotia) using natural language or structured queries. Supports semantic search for dividends, holdings, transactions, and account balances with hybrid SQLite and vector database storage.

Enables AI assistants to interact with PostgreSQL databases through query execution and schema inspection, supporting multiple schemas for customer data, document management, loan systems, and asset leasing.

Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.

MCP server for GLEIF LEI (Legal Entity Identifier) database access. Look up, validate, and search legal entities and their relationships in the global LEI system.

Enables read-only reconciliation and member/billing queries against a gym SQLite database through typed domain tools, allowing natural-language interaction from Claude.

A personal finance tracker MCP server that imports Rocket Money data or connects banks via SimpleFIN to a local SQLite database, enabling Claude to analyze spending, subscriptions, cash flow, and debt payoff with complete privacy.

Provides AI assistants with clean access to 58 US macroeconomic indicators from the FRED database, with pre-computed changes and no need to know series IDs.

Schema-aware MCP server for Accurate Online, providing tools to list resources, lookup endpoint schemas, make authenticated API calls, and refresh database host resolution.

Lets Claude run a small online store's back office — searching customers, looking up and listing orders, generating sales reports and low-stock alerts, updating order status, issuing refunds, and creating invoices — with server-side guardrails like refund caps, idempotency keys, an order state machine, and audit logging on every write. Includes a deterministic eval harness that grades agent behaviour against the actual database state.

Parses Italian INAZ payslip PDFs into a local SQLite database, enabling AI clients to analyze salary history, search items, and get detailed breakdowns while keeping data on your machine.

Enables LLMs to answer small business finance questions about spending, sales trends, cash flow projections, and profitability using a local SQLite database.

Built an MCP server that connects Claude Desktop, Cursor, or any MCP client to Northeast Deal Intel's CRE database. 8 tools: • search_deals — filter 14K+ active listings by state, type, score, cap rate • search_comps — 100K+ closed transactions for comp benchmarking • score_deal — submit any property for AI scoring against real comp data • find_1031_candidates — exchange-ready deal filter (price

Enables local-first expense logging, editing, and analysis through natural language conversation, backed by a SQLite database and accessible via MCP over stdio.

Connects AI assistants to FIS IntelliMatch SQL Server database for read-only BAU operations, enabling natural language queries on reconciliation data.

Provides access to over 5,000 macroeconomic indicators from the Banco Central de Reserva del Perú (BCRP) statistical database. It enables AI agents to search for indicators, fetch time-series data, and generate professional economic charts.

A Model Context Protocol (MCP) server for tracking personal expenses. This server provides tools to add, list, and summarize expenses, utilizing a local SQLite database for storage.

Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.

Enables agents to extract multi-page financial tables from complex PDFs, rasterize vector pages into crisp 300 DPI images for vision LLMs, flatten interactive AcroForm/XFA forms, and dewarp skewed OCR bounding boxes from photographed or scanned paper documents. Tool invocations are gated by USDC micropayments settled on Base L2 via the x402 protocol.

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

Enables persona-configurable financial research and answers questions about 24 US-listed companies across three sectors, grounded in a SQLite database via MCP tools.

Enables AI assistants to track, query, summarize, and delete personal expenses stored in a local SQLite database via natural language.

Enables LLMs to record, list, update, and delete expenses and credits in a local SQLite database, with enforced categories and running balance summaries.

Enables AI agents to search, inspect, and export CSMAR and CNRDS data through authorized campus-network browser sessions without sharing database passwords.

MCP server for managing personal expenses, enabling users to add, list, and summarize expenses by category, with data stored in a local SQLite database.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

Enables AI assistants and coding agents to query a normalized multi-cloud catalog for compute, database, serverless, and AI-model token pricing, estimate full-stack workload architecture costs, and look up data-center availability and compliance pointers directly within their workflows.

Enables tracking and managing personal expenses through a local SQLite database. Supports adding, editing, deleting, listing, and summarizing expenses by category, as well as managing credit accounts.

Enables recording and analyzing personal expenses locally in a SQLite database, with tools for adding expenses, listing them by date range, summarizing spending by category, and accessing a categories resource.