39 packages found
A Python server that exposes Great Expectations data quality tools to LLM agents via the Model Context Protocol (MCP).
MCP server for finding, downloading, extracting, previewing, and inspecting game assets
A Research Cortex. A research companion for Claude. Your library, notes & memory stay on your machine; answers cited fro
Celeste map editor for AI agents — MCP server for reading, editing, and previewing .bin map files with GitHub Copilot, C
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between di
Review-gated MCP sidecar for Markdown notes and incoming artifacts
A traceable Chinese-history MCP server: 4 tools over 9 classical texts (先秦-汉魏), every result cited (book→chapter→paragra
A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, str
code review mcp
Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET).
An MCP server that gives a language model a structured, persistent scratchpad for hard thinking — staged reasoning + sel
Compare code reviews across models in Claude Code with ranked todos and subagent dispatch via MCP.
MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract compon
Semantic Scholar MCP server: 14 typed tools for paper search, citation graphs, author profiles, recommendations, PyPI/Do
The terminal AI agents can drive — and the cockpit to run them from. 99 MCP methods / 21 namespaces, agent Inbox, verifi
MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in d
The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP.
MCP server for bulk Spotify operations - batch playlist creation with confidence scoring, library exports, CSV imports,
Compression with a quality contract — cache-aware, causally-pruned LLM context compression for agentic runtimes, certifi
AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST,
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops
Every API makes promises. OathScore checks the receipts. Real-time world state + independent API quality ratings for AI
Self-hosted AI technical workbench. Visual, persistent, multi-stream. Development, architecture, and operational analyti
Open-source ETL/ELT on DuckDB. Write, wire, or draw one pipeline: 350+ components, 160+ connectors, dbt, CDC, data quali
Self-hosted, local-first AI assistant server: swappable LLM providers, review-gated memory, an encrypted vault, and wake
Local-first MCP server for shared memory, reservations, handoffs, and review evidence across AI coding agents.
Deterministic slop detector for AI-generated prose. No model, no API key.
Run AI coding agents efficiently, and coordinate more than one of them. Zero fluff, zero runtime deps.
The ultimate Web3 Growth & Research MCP Server. Equip your AI agent with data to run wallet forensics for traders and DA
MCP server that adds a fail-closed quality gate and hash-chained receipt ledger to any AI agent workflow.
Lightning-native AI agent platform — pre-trade /review, pay-per-use reasoning, sandboxed execution, persistent memory, a
AI coding rules that actually work. Enforce instruction files via hooks — CLAUDE.md, .cursorrules, copilot-instructions,
Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexit
Regal is a linter and language server for Rego, bringing your policy development experience to the next level!
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, an
AI-assisted PCB design for KiCAD 10. Native KiCAD plugin — a single Rust binary exposing 171 schematic, layout, routing,
Measure and improve the token-efficiency of agent-facing APIs (OpenAPI & MCP): a scorer, linter, the LAP profile, and a
Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automa