Deterministic local code context for coding agents.

Token and context optimization for AI coding agents with smart compression, retrieval, recovery, routing, and MCP integrations.

MCP server that builds code graphs to provide rich context to LLMs

MCP server that builds code graphs to provide rich context to LLMs

MCP server that indexes codebases into a SQLite database, exposing file metadata, exports, dependency graphs, and per-file change tracking.

A code context MCP server backed by Oracle AI Database 26ai: indexes codebases, hybrid search, call graph, module wiki and agent memory for AI coding tools.

A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.

Fast local code search, source reads, and smart block-clamped context for AI coding agents. VS Code Native Language Model Tools & MCP server backed by a shared Rust trigram cache (Linux, Windows, WSL).

AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package

🧠 Python MCP Server for AST Codebase Intelligence, Symbol Extraction, Cyclomatic Complexity & Refactoring Analysis — compatible with Cursor, Claude Code, Windsurf & AI Agents.

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.

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.

100% Free Developer Tier (zero API keys, zero wallet required): 15 deterministic AI agent & developer tools: AST context skeleton pruner, BPE token budget planner, BM25+RRF+MMR hybrid reranker, self-healing fuzzy diff patcher, polyglot AST symbol & comple

100% Free Developer Tier (zero API keys, zero wallet required): 15 deterministic AI agent & developer tools: AST context skeleton pruner, BPE token budget planner, BM25+RRF+MMR hybrid reranker, self-healing fuzzy diff patcher, polyglot AST symbol & complexity analyzer, Tarjan circular dependency detector, stack-trace root-cause isolator,

Local Tree-sitter code knowledge graph & MCP server that gives Claude Code, Cursor and other AI coding agents surgical edit context — cutting token usage by 80-95%.

🧠 Save 70–95% tokens in Claude Code, Cursor, Windsurf & Cline. Local Tree-sitter code graph MCP server: surgical edit context instead of full-file reads, refactor safety checks, and a hook that blocks large file reads. Reduce token usage & cost, zero LLM indexing.

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.

Free, local plugin that keeps tool output out of your coding agent's context window. Sandbox and SQLite FTS5 search, 99% fewer bytes in context. Works with Claude Code, Codex, Pi, OMP, OpenCode, Gemini CLI, Copilot CLI and 4 more agents. Zero telemetry.

Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search

Local code search, import navigation, and bounded context for coding agents via CLI + Skill or MCP.

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.

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

Software development through AI-assisted coding with the Model Context Protocol (MCP)

Local, private context layer for AI coding agents. Indexes your repo (code, symbols, call graph, docs) and serves relevant context over MCP.

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

Compact coding-agent context without summarizing it away. Verbatim, offline, with a receipt and recall for every cut. CLI, MCP server, Claude Code plugin. MIT.

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

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

DAG-based Lossless Context Management for Claude Code. Every message preserved, summaries cascade as a DAG, patterns extracted via Lossless Dream — full recall and reflection across sessions.

AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.

MCP server that bridges the context gap between your codebase and AI coding tools. Persistent semantic knowledge graph with sub-millisecond queries.

vexp MCP server — AI context tools for coding agents

Local code index for AI coding agents: MCP server that gives Cursor, VS Code Copilot, and other agents ranked, token-budgeted context instead of whole-repo scans.

Secure memory & context optimization MCP plugin for Claude Code — drop-in replacement for context-mode with credential isolation, SSRF protection, MemGPT-style persistent memory, and A2A multi-agent broadcast channel

On-demand multi-window context transit and workspace guard for AI coding agents (Claude Code, OpenCode, Antigravity)

MCP server for AI coding tools and agents. Provides semantic codebase context for Cursor, Claude Code, Codex, Copilot, Antigravity, and CLI workflows without requiring full file uploads.

Turn any folder or Git repo into safe, token-efficient context for LLMs, AI chats, and coding agents like Claude Code, Codex, and Cursor — local-first GUI, TUI, CLI, and a read-only MCP server with Live Context, agent journal, Smart Ignore, secret/PII redaction, Git scopes, and code compression. Windows, macOS, Linux.

MCP server for AI coding assistants — intelligent code context via Model Context Protocol

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

Reliable memory and context infrastructure for AI coding agents

Better code starts with the right context. OpenContextually finds, ranks, and explains what your coding agent should read first.

AI context server for Memberstack DOM documentation - provides intelligent access to Memberstack docs for Claude Code, Cursor, and other AI coding assistants

Context governor and between-commit activity surface for coding agents

Local MCP server and CLI that compiles budgeted, verifiable code context for Claude Code.

TypeScript Model Context Protocol (MCP) server for coding-cloud.com API.

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

Local code search MCP server for AI agents: Miru hybrid search + Kalpana Discrete RIF rerank + adaptive context cutoff. Fewer tokens, no API keys, code never leaves your machine.

A code indexing system accessible via MCP (Model Context Protocol)

MCP server that gives AI coding agents a project's context (overview, conventions, security rules, features) and checks their code against the team's rules.

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

Advanced file locking and context management for AI coding assistants using Model Context Protocol

Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

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

Local-first CLI and MCP server for AI coding context — minimum useful context, maximum agent performance

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.

🧠 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.

Persistent memory for AI coding — semantic search, git history analysis, and intelligent context preservation

MCP Server for Mind as Context (MaC) - Claude Code integration

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