Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
Security-hardened MCP server for Linux system administration via 189 typed actions instead of shell strings, with an Ed25519-signed hash-chain audit log, one-time TTL approval receipts, and automatic rollback. Works with Claude Code, Cursor, and Codex CLI.
Windows-native full-disk search over file names, document contents, and OCR'd screenshot text, exposed to AI agents via a read-only local MCP server.
Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls — DROP TABLE, rm -rf, force-push — before they execute. MCP supply-chain protection: TOFU tool-catalog pinning against rug pulls, plus tool-description and tool-result scanning for tool poisoning and prompt injection. 51 starter rules, approval gates, audit logging. Single
German public procurement data (OCDS) — semantic search, tender matching with company profiles, and structured filtering.
Justfile integration that enables LLMs to execute any CLI or script commands with parameters safely and easily, with environment variable support and comprehensive testing.
Log-stream tools for on-call / SRE agent workflows** — expose `rlg` (RustLogs) log files as MCP tools. Three tools: `tail_log` (last N events, filtered by level/target), `filter_log` (JSON-path-style predicates), `summarize_errors` (grouped error taxonomy). Speaks JSON-RPC 2.0 over stdio; near-lock-free structured logging engine underneath (65k-slot ring buffer, 14 output formats, `os_log`/`journa
Hybrid computer-use runtime. Fuses accessibility tree + Chrome DevTools Protocol + vision into structured context with per-element confidence. 4 MCP tools (see/act/think/perceive). Continuous awareness engine (Cortex) with freshness + side-effect detection. Works offline with Ollama + local models.
Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome.
Dependency intelligence for AI coding agents. Live CVE scanning, dependency health, upgrade planning, ecosystem news, and decision memory. 14 tools, zero config, privacy-first.
Local-first memory for AI agents: a single self-contained Rust binary over one SQLite file. Hybrid BM25/FTS + on-device ONNX embeddings + cross-encoder rerank; abstains instead of returning a confident wrong memory. No server, no API key, zero marginal cost. `memkeeper mcp`
Selects the minimum code context an LLM needs to understand a git diff: graph-based fragment selection under a token budget, deterministic, 30+ languages. Published on PyPI and in the MCP Registry.
Agent-optimized MCP server replacing built-in file, search, exec, and git tools with compact structured JSON. Native plugins for git, cargo, gh, and docker. Semantic output filtering, read deduplication, batch operations, and token analytics. Benchmarked 20-45% token savings.
A ready-to-clone Rust MCP server that calls Anthropic's Claude API via the crimson-crab SDK. Exposes an `ask_claude` tool. MIT/Apache-2.0.
LongPort OpenAPI provides real-time stock market data, provides AI access analysis and trading capabilities through MCP.