"A clean web agent named x402-cleanweb-agent" matching MCP servers:

Enables users to chat with an LLM agent that creates and reads Word, Excel, PDF, and JSON files, and accesses databases (letters, documents, LIMS) according to user permissions.

An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.

Enables AI assistants to maintain long-term memory by logging and retrieving facts and decisions in a SQLite database, with relevance ranking and full history tracking.

MCP server enabling AI agents to directly query and manage Power BI datasets, reports, and workspaces via DAX, with built-in data security policies and support for both Power BI Desktop and Service.

Enables AI agents to query, record, and manage Qianji bookkeeping data through the official macOS app, covering ledgers, accounts, transactions, refunds, debts, and recurring or installment tasks with verified writes, duplicate protection, and recovery checks.

Enables LLMs to orchestrate AI agents and tasks, inspect DAG workflows, monitor cluster metrics, and perform safe database queries and statements through standardized MCP tools.

MCP-based production monitoring agent for manufacturing OEE, providing real-time monitoring, downtime root-cause analysis, and automated alerts through integration with SQL Server, MES APIs, and incident management systems.

A real MCP server exposing data-analyst tools (SQL querying, schema introspection, stats, charting) over a sales database, with a Gemini agent that discovers and calls those tools at runtime via the standard MCP protocol.

Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.

Enables MCP clients to create and manage long-form story projects with isolated databases, persistent drafts, canonical continuity checks, controlled updates, and local semantic retrieval through MCP tools, resources, and prompts.

Enables sandboxed Python execution and read-only SQL queries against a service database through MCP.

Enables extraction of structured data from documents like invoices, receipts, and bank statements using local Vision AI (Ollama) or cloud providers (Gemini), with data stored in a local SQLite database.

Provides tools for querying and managing Microsoft SQL Server databases, including stored procedures and SQL Server Agent jobs as code with version control integration.

An MCP server that combines SQL and RAG tools into a reasoning agent for answering retail analytics questions using natural language.

A multi-tool task agent MCP server with file search, SQLite query, calculator, and report writing tools. Enables Claude Code, Claude Desktop, or Cursor to control the same tools used by the agent, with guardrails for safety.

Enables AI assistants and MCP clients to ask natural-language questions about DuckDB or CSV data and receive safe, read-only SQL-generated tabular insights with automatic schema discovery and multi-table joins.

MCP server that exposes tools for natural-language querying of the Chinook SQLite database, enabling agents to discover schema and execute read-only SQL queries dynamically.

Enables agents to explore a database safely and read-only through three tools — list_tables, describe_table, and run_query — served over stdio. Queries are guarded by lexical validation, a capped LIMIT, a read-only SQLite connection, and an authorizer with a timeout.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Enables governed access to corporate Postgres databases via MCP, supporting read-only queries, confirmed data and schema changes, query explanation, audit trail retrieval, and role-based policies with optional Vault secret integration.