Database

Connectors for SQL, NoSQL, vector, and time-series databases - query execution, schema inspection, and data management.

⚠ SQL injection · credential exposure · schema leakage
1,706Total Servers
Sort:1,706 servers
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memora

Give your AI agents persistent memory.

by agentic-box

Python726-
Memory

SQLite-backed persistent memory server with FTS5 full-text search, entity relationship tracking, and project scoping for AI agents.

—3-
Memory Engine MCP

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

by SimoneB79

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Memory Kernel

Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.

by Artem362

Python--
memory-mcp-server

A Model Context Protocol server that provides knowledge graph management capabilities.

by okooo5km

Swift106-
Memory Service (Rust)

High-performance Rust drop-in replacement for mcp-memory-service with SQLite storage and ONNX embeddings.

—2-
MemWhale

Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.

by wuisabel-gif

Rust120-
Mengi Cloud

Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.

by mengi

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menjometre

Menjometre is an independent observatory of Catalan public spending. This MCP server gives any LLM client read-only access to the full dataset and the statistical scoring layer built on top of it. ## Coverage - **~19.5 M** grant records from the Registre d'Ajuts i Subvencions de Catalunya (RAISC), 2016–present - **~1.7 M** public procurement contracts from Dades Obertes de Catalunya - **~496 K** beneficiary entities with normalised identities - A **public-figure graph** linking Parlament deputies, Generalitat officials, and the boards of publicly-funded entities - The **Menjometre score** — a statistical indicator flagging concentration and recurrence patterns in public spending ## What the 48 tools cover | Domain | What you can ask | |---|---| | `entities` | Search, profile, network, activity timeline for any funded organisation | | `grants` | RAISC lookups, concentration analysis, purpose trees, year-over-year trends | | `contractes` | Procurement lookups, sole-source detection, fragmentation patterns | | `organs` | Granting-body rankings and profiles | | `xarxa` | Public-figure graph, shortest path between two people, cluster investigation | | `pressupostos` | Generalitat budget surface | | `meta` | Methodology, scoring explanation, upstream attribution manifest | ## Example prompts - *"Which ten Catalan entities received the most RAISC funds in 2024?"* - *"Show me the concentration profile of the entity with CIF A08000143."* - *"Which grant-giving bodies award the largest share of their budget to a single beneficiary?"* - *"What percentage of Ajuntament de Girona's contracts are sole-source?"* - *"Explain how the Menjometre score is computed."* ## Response envelope Every tool response ships with four things: 1. **Attribution** — a `sources` array citing the upstream dataset, licence (CC-BY-4.0 / Llei 37/2007), and publisher 2. **Scope predicate** — personal-data filters enforced at the database query, not client-side 3. **Framing** — scored responses embed a `score_meta` block with a `not_an_accusation` disclaimer and a link to the methodology page 4. **Neutral statistical language** — the server returns "top decile", "around the median", never accusatory framing Safe for journalism, academic research, and civic-tech tooling. ## Install via npm ```json { "mcpServers": { "menjometre": { "command": "npx", "args": ["-y", "menjometre-mcp"] } } } Also reachable directly over Streamable HTTP at https://www.menjometre.cat/mcp.

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mentedb-mcp

MCP server for MenteDB, persistent memory for AI agents

by nambokwork

TypeScript--
mentor-mcp-server

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

by cyanheads

TypeScript31-
metabase-mcp

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

by hluaguo

Python73-
metabrain

MCP server giving AI agents persistent SQLite memory that proves which lessons hold.

by ariaxhan

Python--
MetaEngine

Spec-first code generation: OpenAPI, GraphQL, Protobuf, and SQL to typed clients in 11 languages.

by metaengine

TypeScript--
metaharness

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

by ruvnet

TypeScript668-
m_flow

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

by FlowElement-xinliuyuansu

Python4.5k-
Michelin Guide

Search 18,900+ Michelin Guide restaurants worldwide with multi-criteria filtering and SQLite FTS5.

—3-
Microsoft Access Database

Read and edit Microsoft Access databases (.accdb/.mdb) - forms, VBA, tables, queries. Windows.

by unmateria

Python--
@microsoft/postgres-mcp

PostgreSQL MCP server for AI assistants over the Model Context Protocol.

by microsoft1es

TypeScript--
Microsoft SQL Server

Read-only MCP for Microsoft SQL Server: metadata discovery, parameterized SELECT, plans.

by alyiox

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Microsoft SQL Server (MSSQL)

Securely integrates with Microsoft SQL Server databases for data analysis, reporting, and management.

by RichardHan

Python392-
Microsoft To Do

Self-hosted Microsoft To Do with SQLite workaround for personal account list limitations.

—5-
Midplane

Safe-by-default SQL guardrails for AI agents: AST-checked queries, per-table policy, audit log.

by midplane

TypeScript--
Mi Fitness Data Bridge

Local-first bridge: export your own Mi Fitness (Xiaomi) health data to SQLite/JSON/CSV and MCP.

by shkyyy18

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mig2schema

Extracts database schema from PostgreSQL migration files by running them in temporary containers and outputting human-readable schema information or SQL DDL, enabling developers to understand final database structure without manually tracking changes across multiple migration files.

—2-