Context-Engine MCP - Agentic Context Compression Suite

A production-ready TypeScript MCP server that provides comprehensive project analysis, intelligent code search, dependency tracking, and coordinated multi-file editing capabilities.

Context engineering methodology MCP server for creating comprehensive Product Requirements Prompts.

Open-source MCP platform connecting AI applications with engineering tools, documentation, and workflows.

A sample MCP server that connects AI agents to API specifications using hybrid search.

Automated Context Engineering MCP Server for creating high-quality Product Requirements Prompts (PRPs) through AI-assisted workflows

Evidence-first local context engine for AI agents - durable project memory for code, documents, and model-adaptive ContextPacks.

Deterministic code-graph context engine for AI coding agents - PostgreSQL, Apache AGE and pgvector, over MCP and REST

Context Engineering is a MCP server that gives AI agents perfect understanding of your codebase. Eliminates context loss, reduces token usage, and generates comprehensive feature plans in minutes. Compatible with Cursor, Claude Code, and VS Code.

Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.

Local code-intelligence engine for AI agents — indexes a repository into a PostgreSQL code graph and serves token-budgeted context (symbols, effects, contracts, blast radius, similar code) over MCP and HTTP.

An AI-native context-optimization engine and Model Context Protocol (MCP) server. BRE uses AST-based skeletonization and MMKP constraints to supply AI agents with high-fidelity, token-efficient context.

MCP server that acts as a persistent context engine for AI assistants: task, epic and dependency tracking in SQLite/PostgreSQL so agents keep perfect state across tool calls and sessions

Index Salesforce org metadata into SQLite and serve it to Claude Code via MCP. 12 typed parsers, 18,600+ dependency relationships, full-text search. One tool call replaces dozens of file searches.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Drop-in token saver for Claude Code & MCP agents — auto-rewrite hooks + 10-tool MCP server + BM25/PageRank repo maps + call graphs in 7 languages + local RAG. Single Rust binary, 100% local, zero APIs.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Cursor, Codex, Copilot, Gemini CLI. Local MCP server, free, open source.

Prism Context Engine — Context Governance for LLMs. MCP server that gives AI coding assistants (Cursor, Claude, Windsurf, VS Code) your project's architectural rules, design system, and security constraints.

Unified modular Model Context Protocol (MCP) server for the Agentic Engineering Suite

Deterministic Python Model Context Protocol (MCP) server & autonomous agent skill for Openclaw Latent Action Engine.

RepoPrompt for Windows — Context Engineering Tool for AI Coding Agents. Windows port of repoprompt/repoprompt-ce.

Terminal-first, local-first context engine for Codex and Claude Code. AST indexing, dependency graphs, MCP tools, Agent Skill, and an optional VS Code HUD.

AI context engine for Claude Code, Cursor, Windsurf — pack, compress, and optimize any codebase. Save 60-90% tokens. Web dashboard on port 7456.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Live workspace context engine for AI assistants — resolve before context.

Inspectable AI agent memory, context engineering and multi-agent orchestration with an MCP server and logical-fleet benchmarks

Instant, accurate Unreal Engine API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations.

llm-context-search is a fast, LLM-free engine that turns web search results into clean, ranked, token-bounded context for AI agents.

MCP server for engineering decisions, task context, change impact, and documentation audits, with optional architecture maps

The shared brain your agents are missing — open-source context engine for AI agents

CTX - Context Runtime Engine for Coding Agents

Xanther Context Engine MCP Server — Give your coding agent deep codebase understanding

Local-first context engine for AI coding agents

Model Context Protocol (MCP) server for managing engineering standards, practices, and processes. This server provides AI assistants with structured access to your organization's engineering knowledge base through a standardized interface.

Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.

Memory-aware context engine for AI coding agents — up to 91% fewer tokens, 17/18 rank-1 across 6 OSS projects. MCP-native, multi-repo, with persistent observations & decisions.

Smart Context Engineering Gateway for AI agents: lossless tool-output compression, episodic memory folding and a reversible diet_ref vault (MCP server + OpenAI/Anthropic proxy + local dashboard)

Local code-context engine + MCP server that feeds LLMs exact spans instead of whole files

Cache-aware context engine & state governor for AI agents: standard MCP server, lossless pruning, prefix integrity.

Open-source, self-hosted MCP server for project intelligence, semantic search, context engineering, and persistent agent memory for AI coding agents.

Claude Code context engine — pack, compress, and optimize any codebase for AI. Save 60-90% tokens.

Open-source MCP server and hook service that keeps Claude Code and Codex engineering context current as the code changes.

🧠 Kai is a context engineering platform. It's persistent memory for AI coding copilots. Teach it once, surface context automatically. MCP server for Claude Code.

MCP server that synthesizes engineering context from Jira, meetings, and docs for AI coding agents

Task-adaptive repository context engine for coding agents: local MCP, exact token budgets, and dependency-aware retrieval.

Deterministic SQLite memory engine, physically sharded multi-tenant state graph, pre-turn context compiler & MCP server for local LLMs/SLMs (4B-14B) — zero vector DB

High-throughput agent context router and deterministic static analysis engine.

Model Context Protocol server for Pixasso: the end-to-end frontend engineering and design orchestrator.

Production-oriented Model Context Protocol (MCP) server for Express.js applications that enables AI clients to investigate backend systems through structured engineering tools. Exposes Git history, Winston logs, OpenAPI contracts, and source code via a secure provider-based architecture.

Deterministic Merkle DAG associative memory engine with Model Context Protocol (MCP) for local LLMs and autonomous agents.

LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.

Deterministic Architecture & Context Engine for AI Assistants (Cursor, Windsurf, Claude). Zero-hallucination AST code graph via Model Context Protocol (MCP).

Open-source context engineering scanner for Claude Code. Scores 45 check layers across CLAUDE.md, skills, hooks, memory, and planning artifacts. Free local tools + paid upgrades via MemoryOS.

Open-source context engineering scanner for Claude Code. Scores 45 check layers across CLAUDE.md, skills, hooks, memory, and planning artifacts. Free local tools + paid upgrades via MemoryOS.

Production-grade NeuroMCP orchestration engine that unifies n8n workflows with agentic LLM ecosystems, delivering secure, deterministic, and scalable automation. Features context-aware execution, multi-transport support, structured observability, & fault-tolerant design, powering AI-native, resilient, & high-performance enterprise infrastructure.

High-performance Model Context Protocol (MCP) server for the Godot Game Engine.

A collection of Model Context Protocol (MCP) servers for chemical engineering and chemistry applications, built on top of the powerful MoziChem framework.

Industrial-grade Excel Model Context Protocol (MCP) server for automated layout auditing and aesthetics engineering.

Three-server Model Context Protocol suite for RF filter design and multi-radio coexistence engineering: LTspice + Qucs-S + scikit-rf, all speaking Touchstone.

Local-first context engine for AI coding agents. Pre-indexes your codebase into a dependency graph and feeds any MCP agent only the code that matters, so it stops rediscovering your repo before every change. Fable-5-level results from Opus 5 on SWE-bench