"A programming resource or code repository index" matching MCP connectors:
Matching 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.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
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.
Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Public-registry routing map by entity kind. Read-only reference data, not a determination.
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.
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
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.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
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.
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.
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.