"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

An MCP server providing read-only access to Linear issues for language models, allowing them to fetch issue details and comments using a Linear API token.

Enables AI assistants to interact with the Roark REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables AI agents to create, edit, read, and run Bruno API collections (both .bru and .yml formats) with byte-parity to Bruno's own reader, without requiring the Bruno CLI.

An MCP server that demonstrates converting a safe OpenAPI subset into MCP tools and interactive apps, using the GitHub API as an example. It provides three GitHub tools with summary, table, and ranking views.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.

MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

MCP server for reading, writing, and organizing API documentation in Apidog.

Webhook management and testing tools for AI agents. Provides tools for sending, validating, generating, and debugging webhooks.

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local embeddings.

A standalone MCP server for API debugging, login authentication, API configuration management, and indexed API execution.

Enables LLMs to dereference and query OpenAPI/Swagger specifications, search endpoints and schemas, validate payloads, extract security schemes, and generate production-ready integration code in multiple languages.

Enables AI agents to create, run, and save API requests and collections as local Gud API files, which are git-committable and viewable in VS Code-compatible editors.

MCP server for scanning smart contracts for security vulnerabilities. It detects issues like reentrancy, overflow, access control, and provides security scores with NEAR-specific recommendations.

Enables AI coding assistants to discover, inspect, and run API requests in Bruno collections locally, keeping all data private.

An MCP server that enables AI assistants to control HTTP Toolkit for intercepting, inspecting, and debugging HTTP(S) traffic from browsers, mobile devices, and Docker containers. It provides tools for server management, interceptor activation, and sending HTTP requests through natural language commands.

Manages project standards, configurations, and API debugging for AI-assisted development, ensuring unified development practices across teams and machines.

A Model Context Protocol server that enables LLMs to interact with Plane.so, allowing them to manage projects and issues through Plane's API for streamlined project management workflows.

Enables direct integration with YApi API documentation platform in MCP-compatible editors like Cursor, allowing users to query API details, list interfaces, and search endpoints by simply pasting YApi URLs.