"MCP servers with SSE endpoints" matching MCP servers:

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

The MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.

Enables AI agents to perform dynamic and reflective problem-solving through a chain of thoughts, allowing them to break down complex problems, revise past thoughts, and explore logic branches before reaching a conclusion.

Search 60,000+ AI agent skills from ClawHub, LobeHub, Dify, and GitHub via MCP SSE or REST API. Free, no API key required.

Enables image analysis, OCR, and text-to-image generation through OpenAI-compatible APIs. Supports local paths, URLs, or base64 images with configurable models and backup endpoints.

Provides a sequentialthinking tool for dynamic, reflective problem-solving via chain-of-thought reasoning. Supports local Stdio and remote SSE deployment on Google Cloud Run.

Provides access to Agno framework documentation for AI agents, enabling search and retrieval of SDK references, API endpoints, code examples, and integration guides through MCP-compatible tools.

Enables AI agents to search, audit, and install open-source AI skills and MCP servers with security grading and quality scoring, directly from MCP clients.

Enables storage, versioning, and retrieval of prompts with rich metadata via MCP tools, supporting stdio and SSE transports.

A local MCP bridge that registers multiple AI API endpoints, enabling agents to automatically discover and route to models based on capabilities like chat, vision, reasoning, embedding, image generation, TTS, STT, and rerank.

Provides fast static embedding, similarity, and search capabilities via MCP tools and an OpenAI-compatible HTTP API using a tiny 16M-parameter English embedding model.

Create Topaz AI tasks through RunAPI — 2 endpoints, 2 models — then poll status and check pricing.

A self-contained stdio JSON-RPC 2.0 server that brings AI capabilities to any MCP client, primarily for Pentool, enabling tasks like picking checks, bypassing WAF, and finding non-obvious endpoints.

Enables AI systems like Claude to activate advanced reasoning patterns, domain expertise, and contextual analysis capabilities through Meta-Knowledge Processing.

Enables interaction with Perplexity AI through MCP tools for chatting, searching, and retrieving documentation.

MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

Enables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.

Enables any MCP client to access 11 AI inference and data tools, including chat, code, vision, embeddings, crypto prices, weather, geolocation, currency exchange, and WHOIS, with a free tier and paid USDC-on-Base endpoints.

Automatically loads Mixpeek's OpenAPI spec and exposes its endpoints as MCP tools, enabling natural language interaction with Mixpeek's API via standard MCP clients.