找到适合你的 MCP Server，快速完成接入

Database management — connect, query, describe schemas, run migrations, and monitor active queries across PostgreSQL, MySQL, and SQLite.

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.

An MCP server for Blackhearts & Sparrows product data that enables searching products, retrieving details, listing stores, and managing carts via a sandboxed TypeScript execution environment.

Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.

Provides comprehensive BioPython capabilities for biological sequence analysis, alignment, database access (GenBank, UniProt, PubMed), protein structure analysis, and phylogenetics through a Model Context Protocol interface for AI-assisted bioinformatics workflows.

MCP server for birding trip planning with migration forecasts, hotspot analysis, and daily email briefings, integrating eBird, BirdCast, NWS, and iNaturalist data.

A Model Context Protocol server that enables AI clients to interact with BlazeSQL's Natural Language Query API, allowing natural language queries against SQL databases.

Blitz-mcp gives AI agents full control over iOS/macOS development — boot simulators, interacts with physical iPhones, browse databases, trigger builds, and submit apps to App Store Connect via 30+ MCP tools.

BlueMouse is the "Prefrontal Cortex" for LLMs. It uses a 180k+ failure pattern database to validate code logic before execution, acting as a rigorous Quality Gate to prevent hallucinations and unsafe operations.

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Provides tools for interacting with SQL Server databases, enabling users to retrieve paginated table data, inspect schemas, and count records. It features enforced pagination and secure configuration options to manage database operations efficiently through natural language.

An MCP server for interacting with SQL Server databases that enables schema inspection, record counting, and paginated data retrieval. It provides tools to explore table structures and fetch specific records while enforcing safety limits on data volume.

Give AI agents structured database intelligence. Deterministic SQL, NULL trap detection, EXPLAIN pre-flight. MIT licensed.

Brain Kit MCP Memory Server

Persistent semantic memory for AI tools. Supabase + pgvector + Deno Edge Function. Stores decisions, insights, and project context with auto-extracted topics. Search by meaning, not keywords. Works with Claude Code, Cursor, Windsurf, ChatGPT, and any MCP client. Deploy in 10 minutes.

Enables inter-session communication and coordination for multiple Claude Code instances through a shared SQLite database. Supports real-time messaging, shared state management, and resource locking to facilitate parallel development workflows between AI agents.

Enables interaction with Brain service for thought management, including saving thoughts with metadata, quick capture with auto-classification, searching, and retrieving entries through natural language.

Enables Claude Desktop to query a PostgreSQL brand database through MCP. Supports local stdio and remote HTTP/SSE deployments with API key authentication for secure database access.

Integrates Brewteco APIs with AI assistants, enabling natural language queries for sales data, product performance, team analytics, customer segmentation, and detailed customer profiles across multiple store locations.

Real-time market data from Buda.com (Chile, Colombia, Peru). Live prices, spreads, order books, OHLCV history, technical indicators, arbitrage detection, and order simulation — no API key required.

An interactive tool for visualizing and managing budget allocations across business categories with real-time charts and industry benchmarks. It allows users to adjust spending distributions and compare them against historical trends and startup stage data.