"sql server" matching MCP servers:

A universal interface that enables AI Agents to communicate with Hologres databases, allowing them to retrieve database metadata and execute SQL operations.

A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.

A server that enables running SQL queries against IoTDB databases, providing data reading capabilities and schema information through a Model Context Protocol interface.

A Model Context Protocol server that enables AI assistants to securely interact with ClickHouse databases, supporting table exploration and SQL query execution through a controlled interface.

Enables ChatGPT to securely control a local workstation via an MCP tunnel, exposing 44 tools for file/project editing, git, process supervision, browser automation, and Office document handling across macOS, Linux, and Windows.

MCP server that coordinates multiple AI specialists (SQL database, document RAG, and web research) using LangGraph, routing each question to the relevant agents and synthesizing their responses into a single answer with honest confidence flags.

Enables ChatGPT MCP Apps to display a self-hosted, collapsible aside card before a formal answer, with automatically selected tone and length for visible, non-hidden reasoning.

Self-hosted, open-source (AGPL-3.0) MCP gateway that turns REST, SOAP/WSDL, GraphQL, and SQL/NoSQL databases into MCP tools. Imports OpenAPI/Postman/WSDL/GraphQL specs and bridges multiple MCP servers behind one endpoint. Ships 188 pre-built adapters, 26 of which need no API key, plus per-tool response mapping, OAuth2/RBAC/SSO and a full audit log.

Instant web hosting for AI agents. Publish a live site in one call, no account needed.

An MCP server that enables a supervising OpenAI Codex agent to delegate bounded implementation tasks to isolated worker threads with enforced file scopes and verification, optionally running in parallel git worktrees.

It gives AI agents a ranked, token-budgeted digest of what changed since their last cursor, with drill-down handles and cursor acknowledgement, read from a local database of file and SQL source changes. It enables agents to act on current business state without re-reading and diffing everything themselves.

A Model Context Protocol server that allows AI agents to execute SQL queries against a MySQL database, supporting operations like reading data, creating tables, inserting, updating, and deleting records.

Enables pre-execution security checks and sandboxed execution for AI agent workflows, including prompt-injection detection, MCP rugpull and sampling abuse protection, untrusted tool-output sanitization, loop circuit breaking, SQL AST validation, PII redaction, and ephemeral Python execution.

A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.

Aggregates SZL backend service tools (a11oy organs, killinchu drones/vessels, and more) behind one signed Streamable HTTP + SSE MCP endpoint that any MCP client can call. Every invocation passes authentication, injection screening, quorum gates for state-changing actions, and returns an append-only Khipu receipt with a DSSE-signed response.

Turns any REST/OpenAPI, SOAP, GraphQL, OData, SQL, MongoDB or existing MCP system into MCP tools for Claude, ChatGPT and Copilot without writing an MCP server, shipping 474 ready-made connectors with runtime tool registration, field filtering and role-based access control.

Enables coding agents to drive a persistent local Chromium — navigating, clicking, filling, uploading, downloading, screenshotting, and reading the accessibility tree — with caller-chosen request IDs that yield honest, never-replayed action outcomes. It also exposes Phoenix runtime tools such as docs, source locations, logs, evaluation, and SQL over a private Unix socket, without requiring an open browser.

Enables enterprise multi-agent decision workflows that expose 8+ MCP tools such as SQL query, web search, Python sandbox, RAG, file access, data cleaning, chart generation, and HTTP calls, orchestrated with LangGraph, streaming output, and human-in-the-loop approvals.

A FastAPI-based MCP gateway that aggregates multiple MCP servers, applies per-server tool allow/block policies, and re-exposes them as streamable HTTP MCP endpoints. It includes a local LLM safety guard for SQL/PII checks and a request history UI.

Provides Claude Desktop and Cursor with full access to the ofshore.dev ecosystem, including system health, AI research, build pipelines, knowledge bus, Telegram messaging, and SQL queries.