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    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
    6
    664 PyPI
    1,028
    Apache 2.0
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    Official SQAI MCP server: governed structured data access powered by Mojo kernels. 3 stdio tools: listSources (discovery), queryData (deterministic read-only queries + compute with provenance), explainQuery (dry-run validation). Introspection needs no credentials; execution requires a one-time free sqai login. npm: @thyn-ai/sqai-mcp. Source: packages/mcp. Registry: io.github.thyn-ai/sqai.
    4
    Apache 2.0
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    A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.
    6
    6 npm
    2
    Apache 2.0
  • A
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    Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.
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    AGPL 3.0
  • F
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    Read-only MCP server providing Wealthi's AI Coach with scoped access to student progress data from Firestore and Supabase, enabling AI to retrieve student profiles, progress, assessment results, and learning signals without direct database credentials.
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    Enables AI agents to query Trino and Apache Pinot lakehouses under enforced governance, where every SQL statement is AST-validated, table-allowlisted, priced from the engine's own plan before it runs, and blocked or admitted against scan-byte and intermediate-row budgets. It also grounds agents with schema discovery tools, returns verified results with warnings instead of misleading answers, and records every tool call on an audit trail.
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    1
    Apache 2.0
  • A
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    MCP server for Seedfast, which fills PostgreSQL databases with realistic, relationally valid test data generated from live schema, providing tools for planning, running, and inspecting seeding operations.
    13
    MIT
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    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
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    10 npm
    16
    Apache 2.0
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    Enables AI assistants to search and retrieve threat-intelligence collections—including leaks, malware, attacks, suspicious IPs, threats, and group profiles—through indicator queries, filtered pagination, update tracking, and WHOIS enrichment.
    9
    135 PyPI
    1
    Apache 2.0
  • A
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    MCP server enabling text-to-SQL on PostgreSQL databases using a CrewAI multi-agent system. It generates and executes read-only SQL queries from natural language, with security layers against prompt injection.
    2
    MIT
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    Enables LLMs to access corporate project and employee workload data via MCP, offering read-only tools, resources, and prompts, and highlighting prompt injection risks.
    3
    MIT
  • A
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    A read-only MCP server that connects ChatGPT/Codex to LINE Desktop's local encrypted database to provide private conversation advice without sending messages.
    8
    17 npm
    MIT
  • A
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    Enables Claude to answer business questions against a company's retail database — sales summaries, top customers, inventory alerts, customer profiles, and plain-English queries — through read-only SQL tools plus a schema resource and reporting prompt. Access is governed by OAuth 2.1 roles and scopes, column-level PII masking, a SQL guard, rate limits, and audit logging.
    5
    MIT
  • A
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    Zero-config data quality monitoring as MCP tools. Profiles a warehouse (Postgres, BigQuery, Snowflake, MySQL, DuckDB), detects anomalies, and gates CI — read-only with the connection resolved server-side, never via the model.
    8
    338 PyPI
    14
    MIT
  • A
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    Open-source MCP server for MetricBridge (formerly Health Export AI). 16 tools and 22 prompts let any MCP agent query 190 Apple Health metrics from files on your own machine. The server is read-only, has zero dependencies and makes zero network calls.
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    412 npm
    11
    MIT
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    A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.
    35
    1,368
    Business Source 1.1
  • F
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    Read-only MCP server that provides tools to search books, get book details, list authors, and view library statistics from a PostgreSQL database.
    5
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  • A
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    Lets AI agents and developers inspect and query local MySQL, Redis, and MongoDB instances over STDIO or authenticated loopback HTTP, with read-only defaults and allowlisted non-production writes that require explicit opt-in. Production connections always reject writes, and database-enforced read-only accounts are recommended.
    18
    Apache 2.0
  • F
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    Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.
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  • A
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    Build and run a complete backend from your agent: relational data with row-/field-level security, full-text + semantic + geo search, RBAC and BYOK, a workflow/automation engine, a growth & retention engine (email, push, promotions, per-user referral codes, rewards and points), payments and marketplace billing, and a growing catalog of integrations – the whole Anythink platform as one CLI-backed MC
    175
    6
    MIT
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    Enables AI agents to query and explore multiple MonetDB column-store databases from one server, using named config labels or runtime credentials via dynamic connect. Provides SQL execution, schema/table inspection, health checks and EXPLAIN plans, with read-only defaults and per-project restriction flags like --label and --no-dynamic.
    9
    Apache 2.0
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    Enables AI agents to search, fetch, and cross-reference the 280+ datasets of the Cambridge MA Open Data Portal, combining catalog discovery with cross-dataset SQL to answer natural-language civic-data questions from real analysis rather than single-table lookups. Public dataset reads and catalog search work without any credentials, and the same tools power a companion Skill and worked tutorials.
    8
    MIT
  • A
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    Structure any document, query it like a database. Sifter turns documents into typed, schema-defined records, queryable in natural language from any MCP client.
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    54
    MIT
  • A
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    Enables interaction with the CEDAR (Center for Expanded Data Annotation and Retrieval) metadata repository to fetch templates and retrieve template instances. Supports querying structured metadata and biomedical data annotations through the CEDAR platform.
    2
    23 PyPI
    MIT
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    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.
    10
    MIT
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    Enables AI assistants to query, analyze, and manage SQL Server databases through natural language via the Model Context Protocol.
    6
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    MIT
  • A
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    A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
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    125 npm
    MIT
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    Runs a local, read-only knowledge graph over MCP, enabling graph queries, path finding, explanations, neighbor exploration, statistics, and god-node discovery without cloud dependencies.
    10
    Apache 2.0
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    Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.
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    MIT
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    Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.
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    MIT
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    A comprehensive website crawler and SEO analyzer that stores site data in a local SQLite database for AI-driven auditing. It enables users to detect technical SEO issues, broken links, and security vulnerabilities through natural language queries or terminal commands.
    4
    56 npm
    16
    Apache 2.0