"MCP servers with SSE endpoints" matching MCP servers:

Enables AI agents to measure Chinese, Japanese and Korean page titles by rendered pixel width and judge whether they fit Google's search result column, flagging titles that would be truncated or cut near the edge. It also reads tags from local HTML files or directories and applies the same width, boilerplate and keyword-zone checks.

Enables developers to diagnose why FSE 2.0 CDA2 documents are rejected by validating locally, explaining schematron/XSD errors, looking up code systems, and generating synthetic sample documents.

Browser control for Claude Code, on Firefox.

Enables MCP agents to create test webhook endpoints, read incoming requests, validate payloads against Hookline validators, and manage mock responses directly from the editor.

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

Runtime access for AI coding agents to observe and control Android and iOS apps.

Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.

Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.

An MCP server that automatically discovers API endpoints from any codebase, generates and runs tests, and produces per-role QA audit reports in PDF and XLSX.

Enables AI coding agents to create webhook bins, inspect and replay HTTP requests, and stand up mock API endpoints directly from the editor.

Enables MCP clients to call the platform's full API as individual tools—covering evals, criteria, gates, logs, datasets, aliases, label sets, audit/proving, dedicated endpoints, and training—with validated inputs and raw API responses.

An MCP server that enables coding agents to set up and manage webhook infrastructure, including provisioning endpoints, event logs, replay, and testing.

Webhook testing for coding agents: create endpoints, send signed test webhooks, inspect captured requests, compare attempts and verify signatures.

Enables AI agents to create disposable webhook URLs, capture incoming HTTP requests, inspect headers and bodies, and replay them against local or remote endpoints, streamlining the webhook handler development loop.

Enables AI agents to call real API endpoints and verify responses against OpenAPI specs, supporting contract testing, auth presets, spec diffing, and health checks.

An MCP server that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints in various formats. It includes tool-mimicry profiles to generate realistic traffic resembling common tools like nginx, postgres, and AWS Lambda for testing and demonstration purposes.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.

Enables creating mock API endpoints and responses, including mock collections and status checks.

Enables AI agents to drive API testing from YAML definitions, executing and chaining requests without hand-written curl, while keeping credentials out of the conversation and responses token-cheap, plus a VANDER-based QA review of endpoints.

Enables headless Blender asset QA and FBX reimport verification for game and 3D asset pipelines, checking mesh count, material count, and naming prefixes with deterministic JSON results.

A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

Enables coding agents to run QA using coverage signals, in-repo test plans, and release governance, and to call backend API endpoints through MCP tools.

Enables AI agents and CI systems to run deterministic website QA audits over MCP, with every finding backed by evidence and every result hashed and signed. It checks HTTP, TLS, security headers, SEO, links, accessibility, and robots.txt, with configurable pass/fail verdicts.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Lets an AI agent add websites, set up and tune uptime, user-flow, security, speed, SEO, domain and compliance monitors, run scans, and review results. It also explains what broke in a failed run and proposes fixes the agent can apply with the user.

Enables safe evaluation of trading-oriented MCP tools through a no-execution stdio mock with read-only signal listings, deterministic paper previews, and confirmation requests that always fail closed.

Enables coding agents to observe and operate Android devices through ADB and uiautomator2, supporting screenshot capture, UI hierarchy access, and actions like tap, swipe, and text input.

Verification browser for coding agents. Headless-by-default WebKit windows with DOM eval, screenshots, pixel-diff with a real match percentage and heatmap, and live hand-off to a human. One static binary, no Chromium.