MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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Token and context optimization for AI coding agents with smart compression, retrieval, recovery, routing, and MCP integrations.
MIT ★ 1 -
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.
MIT -
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).
MIT -
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%.
pypi MIT -
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.
Apache-2.0 ★ 7 -
context-routergithub.com/mohankrishnaalavala/context-routerupdated this year
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.
NOASSERTION ★ 11 -
Local, private context layer for AI coding agents. Indexes your repo (code, symbols, call graph, docs) and serves relevant context over MCP.
Apache-2.0 ★ 3 -
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
MIT ★ 180 -
Software development through AI-assisted coding with the Model Context Protocol (MCP)
NOASSERTION ★ 1 -
Deterministic code-graph context engine for AI coding agents - PostgreSQL, Apache AGE and pgvector, over MCP and REST
pypi MIT -
vexp-cliactive
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
npm UNLICENSED -
AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.
MIT ★ 9 -
vexp-mcpactive
vexp MCP server — AI context tools for coding agents
npm UNLICENSED -
MCP server that bridges the context gap between your codebase and AI coding tools. Persistent semantic knowledge graph with sub-millisecond queries.
MIT -
@oxis-dev/tessragithub.com/oxisdev/tessraupdated this year
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.
npm UNLICENSED -
tenetsgithub.com/jddunn/tenetsupdated this year
MCP server for AI coding assistants — intelligent code context via Model Context Protocol
pypi MIT -
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.
npm MIT -
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.
Apache-2.0 ★ 41 -
AI context server for Memberstack DOM documentation - provides intelligent access to Memberstack docs for Claude Code, Cursor, and other AI coding assistants
npm MIT -
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.
npm NOASSERTION ★ 68 -
Reliable memory and context infrastructure for AI coding agents
pypi Apache-2.0 -
subway-contextactive
On-demand multi-window context transit and workspace guard for AI coding agents (Claude Code, OpenCode, Antigravity)
npm MIT -
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.
MIT -
codebase-pilot-cligithub.com/kalpeshgamit/codebase-pilotupdated this year
Claude Code context engine — pack, compress, and optimize any codebase for AI. Save 60-90% tokens.
npm MIT -
codebase-pilotgithub.com/kalpeshgamit/codebase-pilotupdated this year
AI context engine for Claude Code, Cursor, Windsurf — pack, compress, and optimize any codebase. Save 60-90% tokens. Web dashboard on port 7456.
MIT ★ 6 -
Advanced file locking and context management for AI coding assistants using Model Context Protocol
npm MIT -
context-router-cligithub.com/mohankrishnaalavala/context-routerupdated this year
Local-first CLI and MCP server for AI coding context — minimum useful context, maximum agent performance
pypi Apache-2.0 -
code-memorygithub.com/mstuart/code-memoryupdated this year
Persistent memory for AI coding — semantic search, git history analysis, and intelligent context preservation
npm MIT -
kaigithub.com/Aurite-ai/kaiactive
🧠 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.
★ 8 -
Verified context for AI coding agents. A local context layer that intelligently compresses, filters, indexes, and verifies AI coding-agent tool output. 32 MCP tools across 10 layers: code intelligence (tree-sitter, 30+ languages), context selection, tool
npm SEE LICENSE IN LICENSE -
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.
npm MIT -
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.
★ 11 -
Persistent memory for AI coding - semantic search, git history, and intelligent context preservation
MIT -
ContextAtlasgithub.com/codefromkarl/ContextAtlasupdated this year
ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.
MIT ★ 30 -
token-auditgithub.com/littlebearapps/token-auditupdated this year
Token usage auditor for AI coding tools. Investigate context bloat across Claude Code, Codex CLI & Gemini CLI.
pypi MIT -
A comprehensive MCP server that enhances AI capabilities with rich workspace context, code analysis, and smart prompts
MIT -
Index codebases into a local knowledge graph to provide accurate context for AI coding tools through a direct MCP server connection.
★ 1 -
Pre-injection context compression and session deduplication for AI coding agents: squeeze tool output, code, JSON and logs before they reach the LLM
npm (MIT OR Apache-2.0) -
CLI + MCP server for AI context portability. Save, search, and switch context across Claude, Cursor, Copilot, Codex, Windsurf, and 6 more AI coding tools.
npm MIT -
CodeBuddy by Orquentra: local-first MCP server and CLI for project context and durable memory in Claude Code, Codex, and other AI coding agents.
npm MIT -
Universal Model Context Protocol (MCP) gateway for autonomous AI coding agents: Anthropic Claude Code, Google Antigravity, OpenAI Codex, and Cursor Agent.
npm MIT -
claude-context-bridgegithub.com/nirxnjxncodes/claude-to-claudeupdated this year
Local MCP server that gives Claude.ai live context about your git repos and Claude Code sessions
npm MIT -
Evidence-first local context engine for AI agents - durable project memory for code, documents, and model-adaptive ContextPacks.
NOASSERTION -
lanhu-context-mcpgithub.com/refinist/lanhu-context-mcpupdated this year
Turn a Lanhu design into context for AI to generate code and recreate pages
npm MIT -
Turn a Lanhu design into context for AI to generate code and recreate pages
npm MIT -
Local context cache and code map for AI agents, written in Rust. 100% offline, zero dependencies. MCP server included.
MIT ★ 2 -
rlmgithub.com/SaschaOnTour/rlmupdated this year
Context broker for AI coding agents (CLI + MCP). Queries codebases via progressive disclosure instead of feeding entire files into context — reducing token waste and context rot. AST-aware retrieval, surgical editing with syntax guard, semantic search. Inspired by Recursive Language Models research (MIT/Stanford, 2025). Built in Rust.
NOASSERTION ★ 2 -
The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Cut agent token costs by finding code without reading the repo, then keep large codebases off the complexity wall: blast radius, tests to run, quality deltas as you write. Every guess labelled, every loss published. Paddle out with a map.
Apache-2.0 ★ 2,543 -
@blanklogic/refinery-mcpupdated this year
Clean context before AI sees it — BlankLogic Refinery MCP for Cursor and Claude Code (local, no upload).
npm UNLICENSED -
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
MIT ★ 93 -
Reliable memory and context infrastructure for AI coding agents: source-backed facts, review-gated learning, MCP/SDK/UI, and replaceable Qdrant/Graphiti retrieval.
Apache-2.0 ★ 8 -
mcp-skills-as-contextgithub.com/yigitkonur/mcp-skills-as-contextupdated this year
MCP server that searches skills.sh and fetches skill files from GitHub — turn thousands of AI skill files into rich context for your coding agents
npm MIT -
Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.
npm Apache-2.0 ★ 677 -
Universal Git-powered persistent memory, context rules & native MCP server for AI coding agents. Prevents context amnesia with stateful workflows, Git Notes, and cross-model review gates across Claude, OpenAI, Gemini & DeepSeek in Cursor, Claude Code & VS Code.
pypi MIT ★ 6 -
mnemexgithub.com/notsointresting/mnemexupdated this year
Anchored memory MCP server for AI coding agents — binds decisions to code symbols, delivers context just-in-time. Works with Claude Code, Codex CLI, Cursor, Windsurf, Gemini CLI. No ML required. One SQLite file. 56x token compression.
MIT ★ 1 -
Local-first MCP server giving AI coding agents fast, structured, and semantic context over any codebase. Zero config, zero cloud, full context.
Apache-2.0 ★ 21 -
claude-braingithub.com/Xattaus/claude-brainupdated this year
Autonomous context management for AI coding agents — persistent project memory, cognitive firewall, and tree-sitter code graph as 53 MCP tools for Claude Code
Apache-2.0 -
argyphgithub.com/ezzy1630/argyphupdated this year
Local-first MCP server giving AI coding agents fast, structured, and semantic context over any codebase.
npm MIT OR Apache-2.0 -
Generate, preserve, and verify lean AGENTS.md, RUNBOOK.md, and machine-readable repo context for AI coding agents.
MIT ★ 5 -
Local code search and token-budgeted repository context for AI coding agents. Rust CLI and read-only MCP server for PR review, debugging, and agent handoffs.
MIT ★ 1