"Access private Notion pages after logging in" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Check shipping costs for all logistics services in Indonesia.
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
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Your Supabase account in natural language: run SQL, apply migrations, manage tables, storage, edge f
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Read, create, update and delete records; inspect objects, fields and schema in your Knack database.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
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.
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.
Guardrailed FHIR access for AI agents: PHI redaction, audit trail, step-up auth, tenant isolation
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
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.
Securely access and manage FHIR healthcare data stored in Medplum.
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.
Explore your databases, validate SQL, and build & publish data apps in your Mako workspace.
