code-graph-context
A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.
Install / Use
claude mcp add andrew-hernandez-paragon -- npx -y github:andrew-hernandez-paragon/code-graph-contextIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of code-graph-context
code-graph-context scores 46/100 on our quality scale, 917th of 939 AI & Machine Learning skills we index.
Its MCP Server is 2.7 KB long, written without headings and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
code-graph-context compared with similar skills
All 4 of these similar skills score higher than code-graph-context; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| code-graph-context (this skill)by andrew-hernandez-paragon | 46 | 0 | — | MCP Server |
| claude-memby thedotmack | 100 | 103.4k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 103.3k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 88.4k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install code-graph-context?
- Run
claude mcp add andrew-hernandez-paragon -- npx -y github:andrew-hernandez-paragon/code-graph-context. The install tabs above show the steps for each supported agent. - Which AI agents does code-graph-context work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is code-graph-context safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is code-graph-context still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "name": "code-graph-context", "version": "5.5.2", "description": "MCP server that builds code graphs to provide rich context to LLMs", "type": "module", "homepage": "https://github.com/andrew-hernandez-paragon/code-graph-context#readme", "repository": { "type": "git", "url": "git+https://github.com/andrew-hernandez-paragon/code-graph-context.git" }, "keywords": [ "mcp", "mcp-server", "model-context-protocol", "code-graph", "code-analysis", "neo4j", "graph-database", "typescript", "nestjs", "ast-parser", "semantic-search", "openai", "embeddings", "graph-rag", "llm", "claude" ], "author": "Andrew Hernandez", "license": "MIT", "main": "dist/mcp/mcp.server.js", "bin": { "code-graph-context": "dist/cli/cli.js" }, "files": [ "dist//*", "sidecar/embedding_server.py", "sidecar/requirements.txt", "README.md", "LICENSE", ".env.example", "!dist//tests/", "!dist//snapshots/", "!dist//.test.", "!dist//.spec." ], "scripts": { "build": "tsc", "prepublishOnly": "rm -rf dist && npm run build", "prepare": "npm run build", "mcp": "node dist/mcp/mcp.server.js", "dev": "tsc --watch", "graph:print": "npm run build && node dist/utils/test.js", "test": "vitest run", "lint": "eslint "{src,apps,libs,test}//.ts" --fix", "format": "prettier --write "src/**/.ts"", "backfill:projects": "ts-node --esm scripts/backfill-project-nodes.ts", "reembed:sessions": "ts-node --esm scripts/reembed-sessions.ts", "ingest:cursordiff": "ts-node --esm src/cli/ingest-cursordiff.ts" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.15.1", "@parcel/watcher": "^2.5.1", "commander": "^14.0.0", "dotenv": "^17.2.3", "glob": "^11.0.3", "neo4j": "^2.0.0-RC2", "neo4j-driver": "^5.28.1", "openai": "^5.10.1", "ts-morph": "^26.0.0", "yaml": "^2.8.2", "zod": "^3.25.76" }, "devDependencies": { "@eslint/js": "^9.29.0", "@types/neo4j": "^2.0.6", "@types/node": "^20.19.1", "@typescript-eslint/eslint-plugin": "^8.34.1", "@typescript-eslint/parser": "^8.34.1", "eslint": "^9.29.0", "eslint-config-prettier": "^10.1.5", "eslint-import-resolver-typescript": "^4.4.4", "eslint-plugin-import": "^2.32.0", "eslint-plugin-prefer-arrow": "^1.2.3", "eslint-plugin-prettier": "^5.5.0", "eslint-plugin-unused-imports": "^4.1.4", "globals": "^16.2.0", "prettier": "^3.5.3", "reflect-metadata": "^0.2.2", "ts-node": "^10.9.2", "typescript": "^5.8.3", "typescript-eslint": "^8.34.1", "uuid": "^11.1.0", "vitest": "^4.1.6" } }
Related Skills
claude-mem
103.4kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Agent-Reach
103.3kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Understand-Anything
88.4kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
headroom
77.9kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.