"Understanding Context Memory in Chat Systems" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
What is known to be broken in an MCP server or API operation, with the check that found it.
Deploy production REST APIs from JSON schemas in seconds. Manage projects, schemas, and deployments.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
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.
- PNTROAuthdev.pntr.api
Free *.pntr.dev dev subdomains — register subdomains, manage DNS and wildcard records, receive email on disposable inboxes, and capture HTTP requests for webhook debugging. OAuth sign-in; free tier.
Simceptor is an AI-native Mock API simulation platform with a built-in MCP server. It enables AI agents to create, inspect, update, and test dynamic mock APIs, conditional response rules, stateful session simulations, and network latency directly from context.
Send every row of a dataset, file or Google Sheet to any REST API as its own templated request.
Build, validate, and manage API simulations in WireMock Cloud from MCP-compatible AI agents.
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.
