"Chrome Web Store" matching MCP servers:

A local-only MCP server that uses SQLite to store, search, and manage a personal library of AI prompts. It enables developers to organize and reuse prompts across multiple AI clients like Claude and Cursor while keeping all data on their local machine.

Enables querying and managing daily store sales data stored in CSV files, including listing available dates, retrieving raw sales data, computing daily and per-item statistics, and saving new daily sales data.

Enables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.

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.

Query SQL databases (SQLite, PostgreSQL, BigQuery, Databricks) in natural language through a business semantic layer — glossary, metrics, and a data dictionary grounded against your real schema. Read-only by default, with an embedded SQLite + sqlite-vec metadata store and no external infra required.

Enables read-only querying of Moodle as a student, including courses, assignments, grades, forums, and files, using a personal web services token.

Exposes Kunobi's application data and store querying capabilities to AI assistants by bridging stdio to Kunobi's local HTTP MCP endpoint. It features dynamic tool discovery and automatic reconnection to ensure tools like query_store and app_info are always available when Kunobi is running.

Safe write access for AI agents. Stellar Jay is an append-only business fact store: every change is kept, attributed to the agent that made it, and can be undone. Agents record, correct and retract facts, read entities, and reverse a bad run with undo_changes. Self-host with stellarjay-mcp (Go, AGPL) or connect to the hosted AvianSuite server at https://mcp.aviansuite.com/mcp.

Gives language models a working connection to Apache Jena Fuseki: SPARQL queries and updates, whole named-graph reads and writes over the Graph Store Protocol, bulk RDF loading from a sandboxed directory, and dataset administration such as listing, creating, backing up and compacting datasets. Named graphs are also exposed as MCP resources, and a read-only mode hides the seven writing tools.

Enables natural-language (Chinese or English) querying of a socioeconomic survey microdata warehouse covering five survey programs and over a thousand tables, by exposing standard tools for exploring surveys and sections, semantically searching variable metadata, generating read-only SQL, computing weighted statistics, and rendering charts. Results, SQL, and tool calls are returned in-chat, and it can be attached to Claude Desktop or Claude Code as well as its bundled web interface.

Enables MCP-compatible agents to interact with multiple Dataverse environments via the Dataverse Web API, supporting data operations, metadata inspection, solution management, and other Power Platform development tasks using Azure CLI authentication.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

An MCP server that demonstrates the Model Context Protocol using a mock SQLite database of an online store, offering tools for product search, sales analysis, and reviews, along with resources and prompts for learning MCP integration.

A Python web-scraping toolkit that exposes 22 tools for fetching structured web data (from any URL to search, finance, e-commerce, and reference sources) as validated JSON for AI agents.

Read-only MCP server for Odoo.sh exposing builds, environments, logs, and system status via Web API and SSH without any write capabilities.

Enables secure analytics on an SQLite database of an online store via six specialized tools covering schema, customer metrics, product sales, category revenue, period revenue, and order leaders.

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 LLM agents to run read-only SQL Server performance diagnostics through Query Store and DMVs, covering regressions, execution plans, parameter sniffing, missing-index impact, and wait statistics across databases.

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