"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check an Australian vehicle for open safety recalls by VIN. The index mirrors the federal vehicle recall register: 5,587 notices and 8.8 million VINs, refreshed hourly. Look up one VIN, check a batch, search by make and model, or read the full notice. Free, read-only, no authentication.
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Tenant-isolated clinical Model Context Protocol (MCP) server for DokiTab Cloud EMR & Hospital Management Software. Enables AI agents to query ICD-10 diagnoses, NHIA/HMO drug tariffs, FEFO pharmacy stock, lab reference ranges, and hospital TCO analytics across 69 clinical modules.
Ask your AI assistant to sketch or change a Neo4j graph data model, then open it in toro4n.
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.
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
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
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.
A household's bank accounts and the context behind them, for any AI. Read-only to banks.
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.
