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

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

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

Best Token-Efficient AI Coding Tools 2026 – Reduce Costs 90% with Local Memory & MCP

Gives AI coding agents the why behind your code, and makes them keep it: file cards, rules and decisions kept in git and delivered before every edit, for Claude Code and Codex

Evidence-first entity and knowledge graph MCP server for AI agents to verify claims, trace cryptographic provenance, and retrieve 90% less context.

A Model Context Protocol (MCP) server for Meta Graph API - Facebook Pages, Instagram Business, content management, and analytics.

Knowledge graph causal discovery over multi-domain research data, delivered through a single Model Context Protocol interface.

Model Context Protocol server for FalkorDB graph databases - enables AI assistants to query and manage graph data using natural language

Session-scoped knowledge graph engine for AI chat context compression

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

Memory Graph - Model Context Protocol

The cross-repo context your coding agent can't grep for: a service graph for microservices, derived from source and served over MCP.

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%.

cgh, the context graph hub: the project memory of your coding agents, plus a code and document graph. Downloads and runs the standalone cgh binary; no Python required.

Index codebases into a local knowledge graph to provide accurate context for AI coding tools through a direct MCP server connection.

🧠 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.

Model-context-protocol (MCP) server for the Microsoft Graph API in C#

HiveMind MCP Server — shared knowledge graph for AI agents. Query, write, and inspect collective AI knowledge through the Model Context Protocol.

Universal MCP Server: Dynamic SQLite-backed code knowledge graph memory & AST context router for AI agents (Cursor, Claude Desktop, Antigravity, Windsurf).

cgh, the context graph hub: the project memory of your coding agents. Shared memory across sessions, agents and repos, plus a code and document graph that answers with exact file:line. 62 MCP tools for Claude Code, Codex, Cursor, Gemini and IBM Bob.

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

Local MCP context server for AI agents: persistent memory, sourced knowledge graphs, full-text search, and rule-based inference with SQLite and clingo.

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

Self-hosted AI memory and MCP coordination for coding agents. Persistent context across repositories and sessions, with knowledge graphs, hybrid search, and a desktop web UI. Built in Rust for Codex and Claude Code.

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

A Model Context Protocol server for knowledge graphs designed around neurodivergent thinking patterns

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

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.

Project-local MCP memory server for AI coding agents. Knowledge graph stored in .mcp/ inside each repo — isolated per project, Git-friendly JSON, dual-buffer (durable graph + active context).

Model Context Protocol server for static analysis of Go codebases with shadow SQLite indexing, background sync, call graphs, import graphs, interface topology, struct lifecycle, endpoints, maintainability metrics, and repo-aware config.

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.

MCP server for Claude Code - Knowledge graph-based context storage with 74x faster reads

Self-learning AST context engine & knowledge graph optimized for Laravel codebases and AI coding agents

Memory/Knowledge Graph MCP Server for IDE Assistants - Persistent context and knowledge for AI coding agents

Local-first knowledge graph memory for LLMs and AI agents: MCP server, RAG context, provenance

Model Context Protocol (MCP) server for Graphlens. Exposes polyglot code graphs to LLM agents.

Graph context, semantic search, guarded edits, and reviewable Git for local Obsidian vaults.

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.

MCP server wrapping knowledge-gun. Exposes paste-ready knowledge-graph context bundles as tools any MCP-aware LLM client can call.

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

Autonomous context management for AI coding agents — persistent project memory, cognitive firewall, and tree-sitter code graph as 53 MCP tools for Claude Code

Local personal knowledge graph: plain-English facts → typed graph → context snapshot for any AI chat. Ollama, SQLite, MCP server. Paused; experiment write-up inside.

Local knowledge graph for agents: typed relationships, source-linked retrieval, budgeted context packs, and Python, HTTP and MCP interfaces.

Model Context Protocol (MCP) server for LightRAG - 30 fully working tools with complete RAG and Knowledge Graph integration

Nex CLI provides organizational context & memory to AI agents. Connect email, CRM, Slack, meetings, and 100+ tools into one knowledge graph. Delegates to the nex-cli binary.

Production-grade Model Context Protocol (MCP) server for Instagram Graph API v22.0. Manage Posts, Reels, Carousels, Comments, and Analytics for AI agents.

Read-only Model Context Protocol (MCP) server for the Microsoft Graph Service Communications API — exposes M365 service health and Message Center posts to AI agents.

Comment directives in, compact AI context out — a drift-aware code graph for JS/TS that gives Claude, Codex & other assistants a small query pack instead of the whole tree. CLI + MCP server.

A paused, local-first code intelligence project that gives AI coding agents structured graph context, memory, and MCP tools.

Graph + local semantic context for Obsidian, with guarded remote MCP access and edits from Codex, ChatGPT, Claude, and any MCP client.

An open-source, local-first Model Context Protocol (MCP) server for Named Entity Extraction, Wikidata Disambiguation, sameAs Schema Linking, and Knowledge Graph Triple Construction

Local-first external brain CLI for coding agents — SQLite-backed context, graph-aware recall, and governed memory for Claude Code, Codex, and MCP clients.

The Context Engine for AI Coding: Persistent incremental knowledge graph for token-efficient, context-aware reviews

A Model Context Protocol (MCP) server for Microsoft 365 - manage mail, calendar, contacts, files, Teams, Planner, OneNote, To Do, and more via Microsoft Graph.

Provide AI agents with long-term memory using a neuroscience-based knowledge graph and Model Context Protocol for improved coding assistance.

Trusted architecture context for AI agents: an evidence-backed architecture graph from OpenAPI, AsyncAPI and OpenTelemetry, served over MCP.

Persistent project intelligence for AI coding agents — code indexing, dependency graphs, and context retrieval. | 面向 AI 编码智能体的确定性认知基础设施：代码图谱、文档生命周期与紧凑上下文检索。

Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.

AI Mind Map — MCP server that reduces AI coding agent token usage by 80-99% through persistent codebase memory, knowledge graphs, and intelligent context management