"Creating an Automation System Using n8n" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching 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
Interact with your Google Bigtable resources using natural language commands.
Interact with your Google Cloud Datastream resources using natural language commands.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
Interact with your Google Cloud Firestore resources using natural language commands.
Anomaly AI is an AI data analyst for large datasets and spreadsheets. Its remote MCP server lets Claude Code or another MCP client with OAuth ask Anomaly about your Excel, CSV, GA4, database and warehouse data. Anomaly runs the analysis and replies in plain text with dashboard links, file downloads and chart images. MCP OAuth sign-in, no API key. Needs an Anomaly account.
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.
- ChrysaiOAuthcom.chrysai
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.
Read and edit DB Planner database schemas, diagrams and board layouts as an AI agent.
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
- SIGNLDOAuthai.signld.app
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.
Governed access to production AI-agent traces in an existing ClickHouse store.
AI-powered ERD design tool. Create and manage database schemas using DBML with real-time canvas.
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.
Put an AI-written project online: a site on a subdomain with a Postgres database of its own.
An agent-native database over MCP: shared, validated, structured records in every AI chat.
