"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
A calorie MCP that looks up calories and macros from a 4M+ food catalog, not model guesses.
Access control for text-to-SQL agents. Before the model sees the schema, schemagate keeps only the tables and columns the caller may read, picks the few a question needs, and refuses hidden ones at query time. This public endpoint serves a sample schema (no real data). Self-hosted it works with Postgres, Oracle, MySQL, SQL Server and SQLite.
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.
MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration data.
Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.
Use your Fulcra secure context lake to collaborate with other agents, read and write data, and more
MCP server for the Honeydew semantic layer. 11 tools to explore the model, define entities/relationships/attributes/metrics/contexts/domains, validate, and query — all in plain English over Snowflake, Databricks, and BigQuery. Same governed model that powers Tableau, Power BI, and Looker.
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
SQL over EloEdge's model record, 1-second crypto prices, Polymarket US listings and calendars.
Versioned agent memory in your own Postgres: portable context, permissioned, audit trail.
Same functionality, consuming only 1/20 of the context window tokens.
