"MCP servers with SSE endpoints" matching MCP servers:

MCP server for DeepSeek AI models (Chat + Reasoner). Supports multi-turn sessions, model fallback with circuit breaker, function calling, thinking mode, JSON output, multimodal input, and cost tracking.

Enables building MCP servers in TypeScript where tool schemas, descriptions, and validation are automatically generated from class methods, their TypeScript types, and JSDoc comments at compile time.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Bridges Claude Code to Language Server Protocol (LSP) servers to enable semantic code intelligence features like navigation, refactoring, and real-time diagnostics. It supports multiple languages including TypeScript, Python, and Rust with multi-root workspace capabilities.

A high-performance MCP server that bridges AI agents with Java codebases, providing professional-grade Java language intelligence via Eclipse JDT.LS.

A Model Context Protocol (MCP) server that provides code analysis capabilities using tree-sitter, designed to give Claude intelligent access to codebases with appropriate context management.

MCP server enabling AI models to interact with Codescan's API for listing projects, retrieving metrics, and querying issues with advanced filtering.

A Model Context Protocol server that generates and runs mock API servers from API documentation like OpenAPI/Swagger specs, enabling developers and AI assistants to quickly spin up mock backends for development and testing.

Exposes type-aware code navigation and fast file search to AI agents via language servers, enabling definitions, references, symbols, and file lookup without reading entire codebases.

Reviews MCP servers for quality, security, and best practices, providing scores and improvement plans.

Enables starting code analysis and obtaining code analysis reports via the MCP protocol, integrating with Tencent Cloud Code Analysis (TCA).

A local MCP server for working with Logisim-evolution .circ projects, providing structured project inspection, guarded edits, validation, circuit analysis, test execution, format conversion, and GUI launch.

Enables AI-driven reverse engineering with x64dbg via 71+ MCP tools for breakpoints, memory, disassembly, tracing, debug control, PE analysis, and anti-anti-debugging, supporting HTTP, SSE, and stdio transports.

A proxy server that forwards MCP requests to a JetBrains IDE server, with support for path conversion between WSL, Git Bash, and Windows.

A comprehensive MCP server suite for Red Hat's automation ecosystem, enabling AI assistants to interact with Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation with secure domain validation.

Bridges local LLMs running in LM Studio with MCP clients like Claude Desktop to perform reasoning and analysis tasks while keeping sensitive data private. It features a suite of tools for local code review, privacy scanning, and content transformation using auto-discovered local models.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.

MCP server for OpenEdge ABL — pluggable tool architecture with per-project YAML configuration. Provides AI assistants with 24 tools to parse, analyze, lint, document, and scaffold ABL projects.

OpenGrok MCP Server is a native Model Context Protocol (MCP) VS Code extension that seamlessly bridges the gap between your organization's OpenGrok indices and GitHub Copilot Chat. It arms your AI assistant with the deep, instantaneous repository context required to traverse, understand, and search massive codebases using only natural language.

A stdio-based MCP server for fast, bounded search and navigation of large code repositories using ripgrep, with tools for project-wide search, symbol lookup, file listing, and code reading.