"Servers that Enhance Productivity" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Discovery registry for AI agents: 660+ APIs, MCP servers and CLIs, each health-checked every 6 hours with real requests — full initialize + tools/list handshakes for MCP, real calls for APIs — plus response-schema validation that catches responses which parse fine but are missing a required field.
Remote MCP that evaluates one public HTTPS URL for WebMCP readiness: intent, tools observed, what to add, what never to expose.
API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server exposes that workspace to AI agents. Agents can design endpoints, write and run test suites, manage mock servers and publish documentation, always under the permissions of the connected Routebase account.
Check whether an MCP server answers, what its tools claim, and whether that claim has changed.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
MCP server that delivers up-to-date Bitrix24 REST API documentation.
An MCP server that provides tools to validate an email address using Dilli Email Validation API.
Gibs is a multi-regulation compliance API for developers building applications that need to reason about EU regulations. Classify AI systems under the EU AI Act, ask compliance questions about GDPR and DORA, and get source-cited answers with article-level traceability — all in one API call.
API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.
Unified gateway exposing 150+ tools across all NexGenData MCP servers via one endpoint.
Monitor MCP servers, API contracts and AI outputs for schema drift. Alerts on breaking changes.
The Grafbase MCP server sits in front of a GraphQL API and exposes an MCP protocol-compliant interface that allows AI agents and LLMs to explore and query GraphQL APIs using natural language. It provides tools to search schemas, introspect types and fields, and execute GraphQL queries while minimizing context bloat by returning only relevant schema subsets, with built-in support for authentication, authorization, and configurable access control.
