cognitionai/deepwiki

cognitionai/deepwiki is an MCP server for Claude Code, Codex, Cursor, Gemini CLI, OpenCode from opengovsg/FormSG. Its token cost is not measured, scanned A, original, no licence file.

A hosted service that lets a coding agent query AI-generated documentation for public GitHub repositories. It is provided through MCP, a standard way for agents to connect to external tools, at mcp.deepwiki.com.

In plain words
What is it for?
Use it to research public GitHub repositories and ask questions about their generated documentation.
Why use it?
It gives the agent a way to look up repository structure and documentation without requiring you to read the entire codebase first.

MCP server for Claude CodeCodexCursorGemini CLIOpenCode

Written for no agent in particular: it speaks MCP, so any client can run it. Also seen: listed in a Claude config.

Good fit Use it to research public GitHub repositories and ask questions about their…

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Install with agentmods
npx agentmods add mcp/opengovsg/formsg/cognitionai-deepwiki
Install

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.

Clone the repo
git clone --depth 1 https://github.com/opengovsg/FormSG

Made for: Claude Code, Codex, Cursor, Gemini CLI, OpenCode.

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.

agentmods badge for cognitionai/deepwiki

README.md
[![agentmods](https://agentmods.dev/badge/mcp/opengovsg/formsg/cognitionai-deepwiki.svg)](https://agentmods.dev/mcp/opengovsg/formsg/cognitionai-deepwiki)
Your own site
<a href="https://agentmods.dev/mcp/opengovsg/formsg/cognitionai-deepwiki"><img src="https://agentmods.dev/badge/mcp/opengovsg/formsg/cognitionai-deepwiki.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Security

Grade A, and why

cognitionai/deepwiki 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 yesterday.

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.

.mcp.json · 6 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. yesterday First seen · 6 lines scan A 87549a78fc86

Subscribe to this mod's changes

cognitionai/deepwiki is an MCP server published in the GitHub repository opengovsg/FormSG (371 stars, last pushed 2d ago), with no licence file. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.