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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Permission-safe prompt refinement and bounded graph orchestration for Codex, Claude Code, Cursor, and GitHub Copilot.
MIT -
Graph-Engineering for Real Engineers: Graphs define workflows; workflows build graphs. Based on mattpocock/skills.
npm MIT -
Deterministic code-graph context engine for AI coding agents - PostgreSQL, Apache AGE and pgvector, over MCP and REST
pypi MIT -
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
MIT ★ 180 -
Deterministic Architecture & Context Engine for AI Assistants (Cursor, Windsurf, Claude). Zero-hallucination AST code graph via Model Context Protocol (MCP).
★ 1 -
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 -
Cortex-agents_infragithub.com/kth3/Cortex-agents_infraupdated this year
The High-Performance, Hardware-Adaptive Knowledge Engine for MCP Agents: Hybrid Graph-RAG & Atomic Concurrency Control.
MIT ★ 2 -
@irohalabs/irohagithub.com/iroha924/irohaupdated this year
Local-first Engineering Memory Graph for Claude Code and Codex.
npm Apache-2.0 -
Architectural Memory Engine, The Fast AST Indexer, The Constraint & Guardrail Engine, The Architecture Decision Record (ADR) Graph, Agent Execution Memory & Session Drift Recovery
MIT -
Zero-Token-Waste Memory Engine, Knowledge Graph & Notes System for AI Coding Agents via MCP.
npm MIT -
CogniVaultgithub.com/gitstq/CogniVaultupdated this year
🧠 CogniVault - Lightweight AI Agent Semantic Memory Engine | 轻量级AI Agent语义记忆引擎 - Zero Dependencies, TF-IDF+BM25 Hybrid Search, Memory Lifecycle, Knowledge Graph, MCP Server
MIT -
A production-ready knowledge graph system for software engineering that connects design patterns, refactoring techniques, and software laws through semantic relationships. Built for AI agents first — integrate software engineering expertise directly into Claude Code, Cursor, and other MCP-compatible tools.
Apache-2.0 ★ 6 -
EU AI Act and HLEG Trustworthy AI as a provenance-carrying knowledge graph, served to coding agents through MCP tools. Engineering and documentation support, not legal advice.
AGPL-3.0 ★ 1 -
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
MIT -
Advanced Knowledge Graph Engine with semantic search and temporal tracking
★ 1 -
Zero-dependency repo-indexing engine: deterministic walk + symbol/import extraction (tree-sitter AST with regex fallback) + typed cross-file link-graph + analytics. One vendorable engine.mjs, CLI + MCP server included.
npm MIT ★ 1 -
High-performance, zero-allocation array-backed graph database and traversal engine for .NET 10 utilizing Forward Star representation.
MIT ★ 2 -
Advanced Knowledge Graph Engine with semantic search and temporal tracking
pypi -
Advanced Knowledge Graph Engine with Document Processing, Semantic Search and Multi-LLM Integration
pypi MIT License -
Scythe (ctx) is a live, auto-updating codebase context engine. It maintains a local SQLite relational graph of your repository, synced dynamically on edit by AI models, guaranteeing structured, zero-drift context under 10k tokens — even for million-line codebases.
Apache-2.0 -
@iflow-mcp/drqedwards-pmll-memory-mcpgithub.com/drqedwards/ppmupdated this year
PMLL Memory MCP Server v2.0.3 — persistent memory logic loop with short-term KV cache (peek pattern), Q-promise deduplication, Context+ long-term semantic memory graph, and solution engine. Four-way benchmarked: Combined Context+ + PMLL/peek delivers 36ms
npm MIT -
In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bindings.
pypi Apache-2.0 ★ 23 -
fish-bridge-mcpgithub.com/makeamouse/fish-bridge-mcpupdated this year
Session-scoped knowledge graph engine for AI chat context compression
pypi MIT -
Nexusgithub.com/Obelus-Labs-LLC/Nexusupdated this year
Semantic codebase graph engine — MCP server for Claude Code
MIT -
Fast native code graph & repository intelligence engine. 16-language Tree-sitter parser, interactive browser UI, MCP server, and Obsidian vault exporter for AI coding agents.
MIT ★ 1 -
MyKG Knowledge Graph Engine: Turn raw files into knowledge graphs with induced ontology
MIT ★ 85 -
Visualization and graph MCP server for Cortex — neural graph, methodology map, workflow graph, and trace UI extracted from the Cortex memory engine
pypi MIT -
Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summaries, typed edges, cited answers, SQL over your spreadsheets, no chunking. Same 12B local model: 0/11 on multi-hop questions as top-k RAG, 11/11 as a navigator. Python, Apache-2.0, self-hostable.
Apache-2.0 ★ 13 -
codegraphxgithub.com/techcraze00/codegraphxupdated this year
Token-efficient codebase graph engine for AI coding agents. Tree-sitter parsing, SQLite semantic graph, impact tracing, and an MCP server with zero-config auto-indexing.
npm MIT -
Incremental code-graph MCP server and blast-radius engine for AI coding agents
npm MIT -
MCP server that reverse-engineers architecture from code (Go, TypeScript, Python) and markdown into a structured graph. Detects drift between any two branches, tags, or commits
MIT ★ 7 -
Code-intelligence engine for AI coding agents — single Rust binary indexes any repo into a queryable graph over MCP, CLI, and JSON.
Apache-2.0 ★ 4 -
Self-learning AST context engine & knowledge graph optimized for Laravel codebases and AI coding agents
npm MIT -
kinrggithub.com/hotienky/kinrgupdated this year
The Context Engine for AI Coding: Persistent incremental knowledge graph for token-efficient, context-aware reviews
pypi MIT -
@iflow-mcp/mmethodz-dreamgraphgithub.com/mmethodz/dreamgraphupdated this year
DreamGraph — A cognitive dreaming engine for MCP servers. Builds, explores, and self-heals knowledge graphs through speculative reasoning.
npm MIT -
Give humans and AI agents the same map of your codebase: dependency graph, complexity and code-smell metrics, MCP server. Ten languages, Rust engine, VS Code + CLI.
AGPL-3.0 -
thought-mcpgithub.com/rnbbarrett/thought-mcpupdated this year
THOUGHT — Temporal Hierarchical Object Union & Graph Hybrid Toolkit. A local MCP memory server with bi-temporal graph + vector + temporal layers, a query router, and a consolidation engine.
pypi MIT -
Deterministic Knowledge Graph & Truth Maintenance Engine for AI Agents — SQLite FTS5 · Markdown-as-Truth · Cascading Invalidation · Zero LLM Calls
MIT ★ 2 -
codememgithub.com/cogniplex/codememupdated this year
A standalone Rust memory engine for AI coding assistants. Single binary, zero runtime deps. Graph-vector hybrid with MCP tools.
Apache-2.0 ★ 18 -
nexus-kbgithub.com/KhaiTrang1995/nexus-kbupdated this year
Nexus-KB is an open-source reference architecture for building a production-grade enterprise Retrieval-Augmented Generation (RAG) and Knowledge Graph (KG) engine.
MIT ★ 1 -
High-performance native cognitive memory engine (.ame) for AI Agents with fused vector-graph search, sub-millisecond mutations & MCP server
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The Mathematics Universe: a 25-chapter engineering-mathematics core, 74 chapters across nine specialization tracks and a research frontier, and an appendix of proofs. Markdown + LaTeX Obsidian vault with Desmos graphs, crafted figures, a 1,400-page PDF and an MCP server.
MIT ★ 1 -
Change guard and refactoring engine for coding agents: catches broken callers, schema and endpoint gaps after an edit, and does rename, change-signature and move-symbol across 14 languages - local code graph, over MCP, CLI and a web UI
pypi FSL-1.1-ALv2 -
Local-first engineering memory and large-scale polyglot graph search for Codex, Claude, Cursor, Copilot, and the next agent you try.
AGPL-3.0 ★ 29 -
Code context engine for AI coding agents — indexes repositories into a queryable graph and returns exact code spans instead of whole files
MIT -
CodeGraphX (CGX) — a local, token-efficient codebase graph engine & MCP server for AI coding agents. Tree-sitter parsing, a bi-temporal SQLite semantic graph, O(1) symbol lookup, and impact/blast-radius tracing so agents answer 'what breaks if I change this?' in a few hundred tokens.
MIT ★ 3 -
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.
MIT ★ 3 -
Zero-daemon cognitive memory engine for AI coding agents. AST code graph, self-verifying error traps, and bi-temporal SQLite for Claude Code, Cursor & Copilot.
NOASSERTION ★ 1 -
Open source attack-path engine for AWS and Kubernetes: correlates your scanners into one graph and blocks the pull request that opens a route to your data.
Apache-2.0 ★ 9 -
Local-first code graph + context engine for AI coding agents (Rust/MCP server). Published in microsoft/winget-pkgs (winget install halloffame12.CTX) & awesome-mcp-servers. A+ on Glama.
MIT -
codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work
NOASSERTION ★ 4 -
Graph-Augmented Code Intelligence RAG engine pairing deterministic AST call graphs with dense vector search to boost direct-callee Recall@8 from 0.0% to 53.3% (+53.3 pp) under a 5.8ms p95 latency bound. Powered by a QLoRA fine-tuned Qwen2.5 adapter (70.02 CodeBLEU), quality verification harness, and production Model Context Protocol (MCP) server.
MIT -
Python-based MCP server for Unreal Engine 5 Blueprints. Enables LLM-powered editing of Blueprints, graphs, variables, functions, and components.
MIT ★ 13 -
axon-progithub.com/talhamsajid/axon-proupdated this year
Enterprise-grade graph-powered code intelligence engine. Deep structural awareness for Laravel, PHP, Python, and JS. Powers AI agents with high-fidelity architectural context via MCP & Neo4j.
★ 30 -
YantrikDB — Cognitive memory for AI agents. Persistent semantic recall, knowledge graph, contradiction detection, and procedural learning. Ships as embeddable engine, network database, or MCP server.
pypi MIT -
Kern , The local, deterministic code-intelligence engine for AI agents. Fast AST indexing, precise dependency graphs, sandboxed execution, and MCP tools with zero network calls and zero telemetry.
MIT ★ 1 -
MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.
MIT ★ 9 -
Persistent cognitive memory for AI agents — drop-in MCP server for Claude Code, Cursor, and Windsurf with temporal decay, contradiction detection, a knowledge graph, and autonomous consolidation, backed by the YantrikDB Rust engine.
MIT ★ 25 -
AgenticSystemCore: an open specification and reference engine that publishes knowledge Bundles for people and agents — knowledge-linkset discovery, a JSON-LD graph, llms.txt, MCP & WebMCP tools
npm Apache-2.0 ★ 2 -
Tauri 2 desktop intelligence platform — Cesium.js 3D globe, 185 live panels, MCP server for Claude Code, and an explainable algorithm intelligence layer (truth scoring, evidence graph, compound risk, forecast calibration) plus shortage / weather / insights engines. 600+ deterministic tests.
NOASSERTION ★ 12