"Y Combinator" matching MCP servers:

Enables read-only querying, statistics, and export of Kingdee KIS flagship accounting data through COM, covering vouchers, balances, orders, inventory, AR/AP, multi-account-set management, credential protection, and audit logs for MCP agents.

一个基于Model Context Protocol的SQLite数据库查询服务，为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Enables AI agents to look up Chinese laws and statutory articles fully offline from a local SQLite database, resolving a law name plus article number to verbatim text, searching articles by keyword, and retrieving a law's chapter structure and version history. It also verifies citations in bulk, checking whether each quoted provision exists word-for-word and is currently in force.

Enables Claude Code to read the user's own local WeChat 4.x chat history by extracting the database key from the running WeChat process memory, HMAC-verifying and decrypting the SQLCipher databases, and exposing tools to list recent chats, read conversations, and search across the whole message store. It also surfaces voice-to-text transcripts, decrypted image file paths, local file locations, quoted replies, and forwarded chat-record collections, entirely on the local machine without network access or process injection.

The 'Blast Radius' detector for AI Agents. Prevent regressions using Git history and organizational memory.

Enables natural-language, read-only queries against the campus systems a user is authorized to access, covering schedules, exams, grades, notices, library resources, and personal workflows while returning source, scope, and gap information.

Enables production lines to self-service register data sources and tools, and downstream AI agents to discover and invoke them through the standard MCP protocol.

Enables agents to query a fully offline, 66.7-million-character Xi'an local gazetteer knowledge base without internet access or API keys. Exposes tools for knowledge-base statistics, category and book listings, tables of contents, keyword full-text search, and full or chunked article retrieval, with complete hierarchical paths on every result.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

Enables AI agents to run deterministic database intelligence tasks including natural-language-to-SQL synthesis, AST SQL auditing and optimization, schema migration diffing, SQL transpilation, index and normalization advice, PII scrubbing, fixture generation, connection-pool sizing, isolation-hazard auditing, and ORM model compilation over Streamable HTTP or stdio.

Enables AI agents to safely inspect and query a SQLite database through read-only MCP tools for listing tables, describing schemas, and running paginated SELECT queries.

Enables AI coding agents to execute SQL and MongoDB queries through Increff Webget via natural language, eliminating manual UI interaction and result scraping.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

Agent memory for facts that change. When a user corrects something, Recall replaces the old fact, tells the agent what it replaced, and keeps the old value in a history. Ask what was believed on any date, see every change to a fact, or diff two dates. Runs locally on polign_db, Postgres with pgvector, MongoDB, or Qdrant. Apache 2.0.

Enables AI agents to query verified-emissions knowledge graphs in natural language and validate data against supported standards, with metered billing and optional verified identity.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

MCP server that reads DBeaver database configurations and provides SQL execution via existing JDBC drivers — no extra driver downloads needed.

A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.

Enables AI agents to inspect ontology schemas, search typed objects, and execute read-only SPARQL queries against an RDF triple store.

Enables safe read-only interaction with SQL Server and Azure SQL databases, providing schema exploration, query linting and analysis, query plan insights, write previews as SELECTs, and a versioned library of .sql queries via MCP.

MCP server that exposes NocoDB bases, tables, records, and linked records as tools, enabling Claude to read/write NocoDB data. Supports both stdio and HTTP for local and cloud deployments.

Enables agents to explore a sample SQLite shop dataset and run read-only SELECT queries through three stdio MCP tools, returning table metadata and capped result sets.

Enables querying a MySQL database of metallurgical materials and alloys via natural language, allowing users to list alloy types, filter grades by type, and retrieve full details of a grade with all related data.

Enables natural-language search, booking, and management of simulated flights using a local SQLite database through Claude Desktop.

Enables CRUD operations and search on an Excel-backed product catalog, allowing users to list, search, add, update, and delete products.

Enables MCP clients to inspect and work with Power Apps solutions, canvas app source, Dataverse metadata, and FetchXML via the Power Platform CLI, with read-only defaults and gated, dry-run imports.

Enables Claude to discover PostgreSQL schemas and run validated, read-only analytical SQL across independent databases through MCP tools with bounded results.

A read-only MCP server that enables users to analyze their real bank, credit card, loan, and brokerage data through Plaid. It provides financial analysis tools for transactions, balances, investments, liabilities, and debt while keeping all access tokens and data locally stored.

MCP server for OpenSearch that enables AI assistants to interact with OpenSearch clusters through a standardized interface for search, index management, and cluster operations.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

A Model Context Protocol (MCP) server that provides integration with the Have I Been Pwned API to check if your accounts or passwords have been compromised in data breaches.

Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.

Exposes SQLite database query tools and markdown document resources over JSON-RPC 2.0 stdio transport, enabling AI assistants to read and search documents and execute read-only SQL queries.

An MCP server that provides access to the Mixpanel REST API, enabling AI agents to query events, funnels, retention data, and user profiles. It allows users to perform complex analytics tasks and export raw event data through natural language prompts.

Enables AI agents to interact with Magento 2 development environments through comprehensive tools for module management, database operations, cache control, configuration management, and system diagnostics. Supports complete development workflows from module creation to deployment and troubleshooting.

opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.

A lightweight Postgres MCP server for safe database exploration and query analysis, read-only by default, with multi-database support.