Every listed MCP server and skill. Filter by where it runs, what it needs, and how it is licensed.
1–12 of 45 tools for “context”
Clear allUltimate Context Engineering Infrastructure, starting from MCPs and Integrations
skill/AGPL-3.0/★ 812/no key
Local-first context ingestion and retrieval for AI tools. SQLite + embeddings + MCP server for Cursor & Claude.
skill/AGPL-3.0/★ 42/no key
Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.
skill/AGPL-3.0/★ 9/no key
The agentic workspace where people and agents work together in the loop.
skill/AGPL-3.0/★ 194/no key
Companionship, chat, coding, and work share one memory and context framework — the kind of AI you see in science fiction: it keeps you company, and it gets things done with you.(这是一个基于上下文和注意力机制做的一个多元化
skill/AGPL-3.0/★ 471/no key
Build agent that uses 80% less token and delivers better results.
skill/AGPL-3.0/★ 655/no key
Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.
skill/AGPL-3.0/★ 319/no key
A SEC EDGAR MCP (Model Context Protocol) Server
python/AGPL-3.0/★ 372/no key
Evidence-first search for AI agents / Claude Code & Codex & Pi & OMP & kimi & mcp
node.js/AGPL-3.0/★ 96/no key
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
python/AGPL-3.0/★ 162/no key
A Model Context Protocol (MCP) server for Zammad integration, enabling AI assistants to interact with tickets, users, and organizations.
python/AGPL-3.0/★ 45/no key
Give an agent a job, not your keys. Open-source control plane for AI agent work: each agent gets its own identity, a bounded job, and a signed record of what it did.
skill/AGPL-3.0/★ 18/no key
Who stands behind it
Who stands behind it
