MCP servers for context-engineering

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is

Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.

Open-source control plane for Codex projects: Git-backed context, visible agent progress, scoped MCP access, resumable work, and safe handoffs.

让智能体像人一样学习和工作，共享智能体和项目记忆

Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP serve

The memory layer that gets better as you use it. What broke, why, what depended on what, even the "push this to Wednesday" kind of thing that never makes it into any doc. No one has to write it down.

Keep the signal. Cut the noise. Local CLI + MCP — fold verbose tool output for Claude Code, Codex, Cursor & Desktop.

Codebase architectural invariant assertion sentinel (Codex Astra)

Searchable historical context & raw telemetry retriever (Codex Astra)

Negative hypothesis & failed patch indexer preventing loops (Codex Astra)

Searchable historical context & raw telemetry retriever (Codex Astra)

Negative hypothesis & failed patch indexer preventing loops (Codex Astra)

Cross-window structured persistent notes ledger (Codex Astra)

Long-horizon intent drift aligner & scope creep guard (Codex Astra)

Codebase architectural invariant assertion sentinel (Codex Astra)

Cross-window structured persistent notes ledger (Codex Astra)

Cross-repository context for coding agents. A local-first MCP server that turns finished sessions into findings with commit provenance and staleness checks.

Skill router and context picker for Claude Code, Cursor, and Aider. Auto-picks the right skill for every prompt, with prompt-injection filtering for MCP.

Open-source client for Novgraph, Novaya's proprietary hosted code knowledge graph. Gives coding agents recorded intent, related-code context, ranked change impact and architecture context over MCP or

Universal Context, Rules & Handoff Bridge for AI Coding Tools (Cursor, Copilot, Cline, Claude Code, Antigravity, MCP)

Turn STEP CAD files into AI-readable context packs: exact dimensions, holes, cutouts, fasteners, assembly relations, joints, weak spots and labelled images. Runs offline. Works with any AI chat, Claud

Local-first long-term memory for AI agents - plain Markdown vault + thin MCP server. CJK-aware BM25, token-efficient by design.

Parses a web page into the exact format a decision model needs: dates as dates, numbers with units, chunks that fit the model's window. MCP server + TypeScript library, no model or API key required.

Trilith v0.1 beta — context engineering for agents (budgeted memory, 3 tiers, audit trail). Core is Python; use via REST or adapters (LangGraph / OpenAI Agents / Claude / TS). Needs trilith serve loca

Shrink MCP schema overhead in DeepSeek Harness: 1,000 remote tools behind 2 exact-schema interfaces, plus a local calculator and CI budget Action.

Local-first MCP context engine for AI coding agents — cuts token cost ~90% via a per-project code graph + code folding. Works with Cursor, Claude Code, Codex & any MCP client. Web + ML/PyTorch codebas

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it

Long-term memory MCP server for AI coding agents. SQLite + FTS5 + vector search, CodeGraph, error learning, compaction survival. Beats Mem0 on benchmarks. No cloud, no API key.

Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with ca