Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
Desktop GUI automation using accessibility APIs. Control Windows, macOS, and Linux applications without vision models or screenshots. Supports workflow recording, structured data extraction, and browser DOM inspection.
Run untrusted Python/JavaScript code in WebAssembly sandboxes.
AI-native directory visualization with semantic analysis, ultra-compressed formats for AI consumption, and 10x token reduction. Supports quantum-semantic mode with intelligent file categorization.
A comprehensive MCP server for serial port communication
Local index and hybrid search (SQLite FTS5 + on-device vector KNN) over your AI coding-agent conversation history across 11 tools (Claude Code, Codex, Cursor, and more). Exposes `search_threads`, `search_current_project`, `recent_threads`, and `get_thread` so any agent can recall its own past work.
Local full-text code search for AI coding agents. Trigram-indexed, sub-100ms queries across large codebases, offline, 18 languages.
MCP server for [Perfetto](https://perfetto.dev) trace analysis. Runs PerfettoSQL queries on `.perfetto-trace` / `.pftrace` files via auto-downloaded `trace_processor_shell`, with dedicated Chrome tools for page loads, scroll jank, main-thread hotspots, and stdlib module discovery. Cross-client tested on Claude Code and Codex. Available via `cargo install`, Homebrew tap, and curl install script.
Evidence-grounded web research for AI agents. Verifies page-local claims with citations, confidence bands, policy reports, and multi-page session synthesis via MCP.
A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
Local-first MCP gateway for coding agents that redacts detected secrets from file reads and command output before they reach model context.
Rust infrastructure diagnostics MCP server for AI agents: DNS checks, TLS certificate chain inspection, email security, global DNS propagation, and DNS latency benchmarking.
Code Mode MCP server for the entire OVH API. Two tools (search + execute) give LLMs access to all OVH endpoints via sandboxed JavaScript, using ~1,000 tokens instead of thousands of tool definitions.
CLI-first API testing tool with structured JSON failures (`failure_category`, `error_code`, `hints`) so AI agents can branch on the taxonomy without parsing stderr. MCP tools: `tarn_run`, `tarn_validate`, `tarn_fix_plan`, `tarn_inspect`, `tarn_rerun_failed`, and more. Tests are `.tarn.yaml`. Single static binary (musl), MIT.