"How to add documentation to a project or system" 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.
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.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Lists a company's filed documents at JUCESP by NIRE. Platform-hosted, no credentials, pay per query
Conselho Regional de Odontologia TO: Cadastro, official-source lookup. Platform-hosted, pay per quer
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.
Public-registry routing map by entity kind. Read-only reference data, not a determination.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
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.
