v0.1.3 · MIT
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
v1.4.2 · no license
Search and analyze Dimensions research data: publications, grants, researchers, patents, trials
— · MIT
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
v0.0.0 · Apache-2.0
Official Model Studio CLI(阿里云百炼 CLI)built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.
v1.108.323 · no license
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
v1.4.0 · MIT
Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.
v13.1.0 · MIT
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
— · MIT
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
v0.2.79 · MIT
The canonical 12ui CLI, SDK, MCP server, and visual interface design skills
— · MIT
A code repository indexing tool to supercharge your LLM experience.
v0.1.49 · MIT
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
v1.1.14 · MIT
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
v0.1.1 · MIT
MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.
— · AGPL-3.0
Your own search engine
v1.22.4 · MIT
MCP server that gives Claude, ChatGPT and other MCP clients access to a Zotero library: search, citations, adding items, safe writes, semantic search, PDF passages and page images.
v13.3.2 · MIT
Extract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android Compose, Flutter, WordPress), Tailwind v4, Figma variables, shadcn/ui, CSS health audit, WCAG remediation, Chrome extension. MIT, Playwright, Node 20+.
v3.0.1 · MIT
Deep Zendesk MCP server for your AI assistant: search, draft, update and translate Help Center articles and manage Support tickets end to end — comments, triage and image attachments.
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
v0.2.63 · MIT
DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.
— · Apache-2.0
Unified real-time search MCP server supporting general web search, vertical domain search, parallel batch search, and full-page URL content extraction.
— · Apache-2.0
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
— · Apache-2.0
An official Qdrant Model Context Protocol (MCP) server implementation
— · MIT
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
— · MIT
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.