Find tools that connect your AI assistant to the services and data you use.
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Connect your AI assistant to GitHub repositories, issues, pull requests, and search.
Control browsers with Playwright to navigate pages, capture snapshots, and automate flows.
Run read-only SQL queries and inspect PostgreSQL schemas from your MCP client.
Search pages, read blocks, and create content in Notion workspaces.
Secure file read/write operations with configurable directory access controls.
Persist assistant memory as a lightweight knowledge graph across sessions.
Zero-knowledge secret vault for AI agents: use API keys, passwords, and SSH keys to run real commands (exec/rsync) with the secret injected into a single command — never returned to the model or shown in chat. Client-side AES-256-GCM, per-agent scoping, append-only audit log.
Encrypted secrets vault with MCP for AI agents. Secrets resolved at runtime, never leaked to LLM conversations.
A Chess and Card Game Arena For LLM, Agents can battle in game by mcp
A tool-augmented LLM system for the full PDDL planning pipeline, improving reliability without domain-specific training.
MLflow — 82 tools across experiments, runs, registered models, model versions, traces, assessments. MLflow 3 GenAI traces support and 5 workflow Prompts (analyze-failed-traces, promote-best-run, compare-top-runs).
Simple Web UI to install and manage MCP servers for Claude Desktop App.
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external tools, APIs, and data sources. MCP servers expose capabilities such as database queries, browser automation, and repository access through a consistent protocol that clients like Claude Desktop, Cursor, and VS Code can discover and invoke.