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"Information about Ansible – an IT automation tool" matching MCP connectors:

GET /v1/connectors — MCP directory API reference

Matching Connector Tools:

  • 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

  • Resolve part problems, check compatibility and identify only the information still missing.

  • Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.

  • Zero-key temporary JSON database for agents: one tool call, no signup, no OAuth, no API keys.

  • No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

  • 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

  • No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

  • 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.

  • No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

  • 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.

  • 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.

  • 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.

  • AI-powered ERD design tool. Create and manage database schemas using DBML with real-time canvas.

  • An agent-native database over MCP: shared, validated, structured records in every AI chat.

  • Connecting LLMs and AI agents to real-time production data shouldn't mean writing endless boilerplate middleware. BoltSchema automatically converts your PostgreSQL into secure, production-ready, and hosted Model Context Protocol (MCP) servers. Save days of engineering time, handle JSON-RPC schemas automatically, and let your AI securely query the exact data context it needs in under 60 seconds.

  • 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.

  • The Instant MCP server is a wrapper around the Instant Platform SDK that enables creating, managing, and updating InstantDB applications directly within an editor. It provides tools for fetching rules files for LLMs, retrieving and pushing app schemas, managing permission rules, and executing database queries. Key capabilities include schema management (get-schema, push-schema), permission management (get-perms, push-perms), query execution, and listing recent query history.