Model Context Protocol 11

Composio MCP connects apps to LLMs, IDEs, & Claude with 250+ MCP Servers. Composio-MCP offers 250+ managed MCP server implementations, enabling seamless app integration with hosts like Claude, Cursor, Windsurf, and your agents. Just one line of code connects apps to your preferred MCP hosts effortlessly. Composio MCP: Connect LLMs, IDEs, & Claude with 250+ MCP Server - Composio. Connect your Agents with 15k+ tools through Composio’s Model Context Protocol (MCP) servers

A directory for discovering and sharing Model Context Protocol (MCP) Servers. MCP Servers is a platform that collects and organizes Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. MCP Servers enhance AI capabilities by providing access to external data, tools, and prompts through a client-server architecture, enabling AI systems like Claude to securely connect with various data sources.

Unified MCP server for AI image generation, editing, and enhancement imagemcpserver is a Model Context Protocol (MCP) server that gives AI agents unified access to image generation, editing, inpainting, outpainting, background removal, image compression, format conversion, SVG generation, and 4K upscaling. It routes requests across more than 40 image models and provides standardized MCP and API access for tools such as Claude, Cursor, ChatGPT, custom agents, and terminal workflows. The platform also includes automatic retries and fallbacks, usage logs, API key management, billing controls, and cost tracking.

Knowledge graph for precise AI coding-agent codebase context GitNexus is an open-source knowledge graph engine by Akon Labs that indexes codebases into a deterministic graph of dependencies, callers, imports, call chains, execution flows, clusters, and cross-repository relationships. It connects to coding agents through MCP, allowing them to query structured code context instead of relying only on file searches, embeddings, or similarity guesses. GitNexus supports impact analysis, blast-radius detection, git-diff analysis, architecture discovery, hybrid search, and multi-repository graph analysis. Its local version keeps code, indexing, and queries on the user's machine, while Enterprise provides managed SaaS or self-hosted deployments with features such as automated PR review, auto-reindexing, unified multi-repo graphs, SSO, and dedicated support.

Open-source autonomous observability tool that instruments code and automatically fixes bugs. Superlog is an open-source autonomous observability tool that automatically installs itself, instruments repositories with OpenTelemetry, and monitors codebases without manual setup or vendor lock-in. When anomalies or system failures occur, it fingerprints and groups noisy repeated logs into a single clear incident. It then performs a root-cause analysis, provides severity scores, assesses the impact, and creates automated resolution pull requests directly in Slack to help engineering teams fix bugs immediately.

Universal, self-updating context layer for AI agents and LLMs via MCP. Unabyss is a universal context layer and context management headquarters designed for AI tools, LLMs, and agents. It connects to the apps you use daily to automatically extract, structure, and update your personal or company context. Available via the Model Context Protocol (MCP), it acts as a single source of truth that securely syncs your data across various AI agents and development environments. It features granular permission control, allowing users to segment context and strictly manage what data each individual AI tool or agent is authorized to see.

Persistent context layer for AI agents to connect and reason across business tools. Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.

TypeScript framework for building, deploying, and observing AI agents Mastra is an open-source TypeScript framework for building, deploying, observing, and improving AI agents and AI-powered applications. It provides agent development tools, typed workflows, memory, workspaces, MCP support, human-in-the-loop functionality, model routing, and built-in observability. Developers can use Mastra with React, Next.js, Node.js, Hono, and other JavaScript or TypeScript environments to create internal automation agents, customer-facing assistants, developer platforms, and multi-step workflow applications. Mastra projects can be self-hosted under the Apache 2.0 license or deployed through Mastra Platform with managed infrastructure, monitoring, storage, and enterprise capabilities.

Enables Claude AI to query Twitter, Instagram, TikTok, and Reddit data using natural language. Xpoz MCP (Model Context Protocol) is a social media intelligence server that allows LLMs like Claude AI and ChatGPT to query live data from Twitter/X, Instagram, TikTok, and Reddit using natural language queries. It serves as an alternative to traditional, complex, and costly APIs, bypassing rate limits and API key requirements. Xpoz enables AI agents to perform tasks like social listening, sentiment analysis, competitive analysis, and threat detection using structured social data drawn from over 1.5 billion indexed posts.

Self-driving company brain providing shared memory and context for AI tools. Hyper is a self-driving company brain that acts as a shared memory for AI. It securely and quietly synthesizes data from a team's tools—such as Docs, Slack, Email, and Calendar—and plugs that context directly into existing AI tools like Claude, Cursor, Codex, and ChatGPT. By transforming AI agents from forgetful interns into seasoned veterans, it enables them to draft emails in your voice, read contracts, triage tickets, and prepare for meetings without requiring manual prompts or complex setup.

A self-maintaining company knowledge layer for more accurate AI agents Pensieve is an AI context layer that connects to a company's tools and builds a continuously updated understanding of its business. It organizes information from sources such as Slack, Notion, Google Drive, GitHub, HubSpot, databases, billing systems, analytics, and internal APIs into a navigable company knowledge map. AI tools including Claude, Cursor, ChatGPT, Codex, and custom agents can access this context through MCP, helping them provide more accurate answers without repeatedly searching and relearning company information.