"Information about SQLite databases" matching MCP servers:

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Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

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

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

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.

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.

Provides an append-only SQLite journal for orchestrator/worker AI workflows, enabling delegation, reporting, verification, and tracking of tasks with built-in search and optional cloud sync.

MADE coordinates auditable human-agent procedures with work claims, review gates, approvals, and resumable sessions. Its local MCP server uses SQLite.

Enables AI clients to programmatically build, validate, run, and test executable agent graphs as nodes and wires through local MCP tools, with SQLite storage and no cloud dependency.

Enables agents to deploy, run, expose, inspect, and manage isolated cloud environments, including databases, caches, browsers, GitHub-hosted apps, and arbitrary OCI images, via MCP tools.

Enables autonomous hierarchical multi-agent orchestration for MCP, with persistent SQLite state, real-time web monitoring, and support for mixing multiple CLI and direct API execution providers.

A transport-agnostic MCP seam for messages, context sharing, and task hand-off between humans, chat bots, and coding agents. Supports multiple backends like SQLite, Redis, Matrix, NATS, and XMPP to bridge Claude chat with Claude Code.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Local-first MCP server that enables multiple Claude agents to coordinate through a shared message bus with SQLite persistence and real-time clock anchoring.

Airlock provides named resource locks, atomic shared state, presence, events, and a task queue for AI agents to coordinate on a shared filesystem, with blocking waits and SQLite-backed persistence.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

Enables coordinating two coding agents through a shared SQLite task pool with an explicit review workflow, allowing agents to query, claim, submit, review, and approve or reject tasks while enforcing reviewer and iteration safeguards.

Enables multiple coding agent sessions to form local squads where a commander dispatches tasks and executors report progress, ask questions, and receive correlated answers through MCP tools backed by a persistent SQLite message queue.