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"How to Convert Figma Designs to Code" matching MCP connectors:

GET /v1/connectors — MCP directory API reference

Matching Connector Tools:

  • Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.

  • Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

  • AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

  • Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

  • Conselho Regional de Odontologia TO: Cadastro, official-source lookup. Platform-hosted, pay per quer

  • Connect your AI to your Well financial data - invoices, companies, contacts.

  • A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.

  • It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications

  • The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.

  • Provides tools to manage Memorystore for Valkey instances and backups.

  • AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

  • Ask questions in plain language, get answers from your business database. Cayra connects to SQL databases (PostgreSQL, MSSQL, MySQL, Oracle) and translates natural language to SQL — no SQL knowledge required.

  • Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.

  • Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.

  • Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

  • Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.

  • Gives an agent read-only access to a SIGNLD workspace: list data connections and table schemas, run read-only SQL over the data, and read the knowledge graph, entities, metrics, and topics. It can also create and update knowledge graph elements and topics, build charts from query results, and save standalone HTML dashboards.

  • An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.

  • HubSpotOAuth unavailable
    com.hubspot.app

    The HubSpot MCP Server acts as a bridge that enables AI assistants and Large Language Models to securely interact with HubSpot CRM data through natural conversation, without requiring users to understand complex API structures. It provides read-only access to standard CRM objects (contacts, companies, deals, tickets, products, invoices, and more) and their associations, secured via OAuth 2.0, allowing AI agents to perform tasks like summarizing deals, fetching company updates, and looking up record changes.

  • The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.