Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/developerz-ai/universal-lspInstalling this writes the configuration, not the program: `codegraph` has to be on your PATH already, or the server will not start.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/developerz-ai/universal-lsp/codegraph)<a href="https://agentmods.dev/mcp/developerz-ai/universal-lsp/codegraph"><img src="https://agentmods.dev/badge/mcp/developerz-ai/universal-lsp/codegraph/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/mcp/developerz-ai/universal-lsp/codegraph"><img src="https://agentmods.dev/badge/mcp/developerz-ai/universal-lsp/codegraph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
codegraph scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to codegraph — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
{
"codegraph": {
"type": "stdio",
"command": "codegraph",
"args": [
"serve",
"--mcp"
]
}
}What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 10 lines scan A 877737f352cd
codegraph is an MCP server published in the GitHub repository developerz-ai/universal-lsp (0 stars, last pushed 1mo ago), licensed Apache-2.0. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. It is 100% identical to codegraph, differing in 0 lines, and is treated as a copy.
Other mcp servers, from other repositories
jarvis
MCP server "jarvis" as configured in jarvis-intelligence/jarvis-index. Launched with jarvis-server.
sem
Entity-level code intelligence: semantic diff, impact analysis, blame, and context for AI agents. Runs locally from the @ataraxy-labs/sem npm package.
repowise
The codebase intelligence layer for your AI coding agent — dependency graph, git history, dead code, decisions, and code health, exposed over MCP. Runs locally from the repowise Python package.
trace-mcp
Framework-aware code intelligence: 81 languages, 87 frameworks, 169 tools, 40–50% fewer tokens. Runs locally from the trace-mcp npm package.
agent-lsp
Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP. Runs locally from the @blackwell-systems/agent-lsp npm package.
leantoken
MCP server "leantoken" as configured in morluto/leantoken. Launched with leantoken.