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Sikaru Docs

by aadi-labsversion 1.0.0i★ –iRuns in the cloud
Registry nameai.sikaru/docs

Install

Overview

Description from the maker (original English)

Read-only search over the public Sikaru documentation: managed agents, inference, evals and traces.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://docs.sikaru.ai/_mcp/server

Run this in your terminal

claude mcp add --transport http docs https://docs.sikaru.ai/_mcp/server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "docs": {
      "url": "https://docs.sikaru.ai/_mcp/server"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "docs": {
      "type": "http",
      "url": "https://docs.sikaru.ai/_mcp/server"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://docs.sikaru.ai/_mcp/server

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • searchDocs

    Search the documentation at https://docs.sikaru.ai. Returns relevant doc passages with source URLs.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain sikaru.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 391 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 1 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7234 servers in this category
  • Published to the registry more recently than 94% of the other 7234 servers in this category
  • Basic checks equal to or better than 100% of the other 7234 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Sikaru Docs safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Sikaru plugins and skills

The official Sikaru plugin for Claude Code and Codex, plus the same skills for any agent that loads SKILL.md files: Cursor, Devin, Capy, Pi, OpenCode, Gemini CLI, GitHub Copilot, Amp, Cline, Windsurf, Goose and more. Your coding agent learns to sign you up for Sikaru, choose a project, and then work with it: call catalog models, ask System One decisions, write and publish managed agents, evaluate them in RL environments, and upload traces.

The plugin also connects the public Sikaru docs over MCP (sikaru-docs, https://docs.sikaru.ai/_mcp/server). That server is read-only and needs no credentials.

Install

Claude Code
claude plugin marketplace add aadi-labs/sikaru-plugins

claude plugin install sikaru@sikaru

Codex
codex plugin marketplace add aadi-labs/sikaru-plugins

codex plugin add sikaru@sikaru

Any agent with skills
npx skills add aadi-labs/sikaru-plugins

The installer detects the agents you have and asks where to install. To pick one, pass its name with -a (add -g to install for your user instead of the project):

AgentCommand
Pinpx skills add aadi-labs/sikaru-plugins -a pi
OpenCodenpx skills add aadi-labs/sikaru-plugins -a opencode
Cursornpx skills add aadi-labs/sikaru-plugins -a cursor
Devin for Terminalnpx skills add aadi-labs/sikaru-plugins -a devin
Gemini CLInpx skills add aadi-labs/sikaru-plugins -a gemini-cli
GitHub Copilotnpx skills add aadi-labs/sikaru-plugins -a github-copilot
Ampnpx skills add aadi-labs/sikaru-plugins -a amp
Clinenpx skills add aadi-labs/sikaru-plugins -a cline
Windsurfnpx skills add aadi-labs/sikaru-plugins -a windsurf
Goosenpx skills add aadi-labs/sikaru-plugins -a goose
Factory Droidnpx skills add aadi-labs/sikaru-plugins -a droid
Kilo Codenpx skills add aadi-labs/sikaru-plugins -a kilo
Roo Codenpx skills add aadi-labs/sikaru-plugins -a roo
Zednpx skills add aadi-labs/sikaru-plugins -a zed
Warpnpx skills add aadi-labs/sikaru-plugins -a warp
OpenHandsnpx skills add aadi-labs/sikaru-plugins -a openhands
Kiro CLInpx skills add aadi-labs/sikaru-plugins -a kiro-cli
Qwen Codenpx skills add aadi-labs/sikaru-plugins -a qwen-code

Any other agent that reads SKILL.md files works too: copy a folder from skills/ into its skills directory. See the full list of supported agents.

Capy

Capy installs this repository as a plugin, skills and docs server together: open Settings → MCP & plugins, choose From GitHub repository, and enter https://github.com/aadi-labs/sikaru-plugins. Click Sync on the plugin page to pick up new versions. To keep the skills in one repository instead, install them where Capy reads repository skills:

npx skills add aadi-labs/sikaru-plugins -a universal

That writes to .agents/skills/, which Capy, Cursor, Codex, OpenCode, Pi and other agents all read.

Docs over MCP in other agents

Claude Code, Codex and Capy get the docs server from the plugin. Elsewhere, add https://docs.sikaru.ai/_mcp/server as a remote MCP server (Streamable HTTP, no credentials):

  • OpenCode, in opencode.json: {"mcp": {"sikaru-docs": {"type": "remote", "url": "https://docs.sikaru.ai/_mcp/server"}}}
  • Gemini CLI, in ~/.gemini/settings.json: {"mcpServers": {"sikaru-docs": {"httpUrl": "https://docs.sikaru.ai/_mcp/server"}}}
  • Cursor, in .cursor/mcp.json: {"mcpServers": {"sikaru-docs": {"url": "https://docs.sikaru.ai/_mcp/server"}}}
  • GitHub Copilot in VS Code, in .vscode/mcp.json: {"servers": {"sikaru-docs": {"type": "http", "url": "https://docs.sikaru.ai/_mcp/server"}}}

Agents without MCP, such as Pi, read the same docs as Markdown: start at https://docs.sikaru.ai/llms.txt.

Then ask your agent

  • "Set me up with Sikaru."
  • "List the Sikaru models and chat with the cheapest one that supports reasoning."
  • "Write a Sikaru agent for this repository, validate it and run one task."
  • "Run my eval dataset against the live agent and show me the failures."

Skills

SkillUse it to
sikaruStart any Sikaru task. It routes to the skills below and holds the shared rules.
sikaru-setupInstall the CLI, sign up or sign in, choose a project, get an API key, add credits
sikaru-inferenceList and compare catalog models, and chat from the CLI or the OpenAI-shaped SDKs
sikaru-decisionAsk System One choice, yes-or-no and score questions about a text or JSON state
author-sikaru-agentWrite, validate, review, publish and run a managed agent from one Markdown document
sikaru-evalsPush environment datasets, run evals against the live agent, and read the failures
sikaru-tracesUpload OTLP, ATIF or OpenInference traces and read run trajectories

Requirements

The skills drive the sikaru CLI. They need a build with the decision and credits groups (sikaru decision --help should work):

curl -fsSL https://app.sikaru.ai/install.sh | sh   # macOS and Linux

npm install -g @aadi-labs/sikaru-cli # any platform with Node.js 20+

Code uses the published SDKs, which share the CLI's version:

LanguageInstallImport
Pythonpip install sikaru-sdk or uv add sikaru-sdkfrom sikaru_sdk import SikaruApi
TypeScriptnpm install @aadi-labs/sikaru-sdkimport { SikaruApi } from "@aadi-labs/sikaru-sdk"

Signing up and signing in both start with sikaru login, which also saves your default project. Agents without the CLI follow https://sikaru.ai/auth.md. Code, servers and CI use a project API key in SIKARU_API_KEY, created in the dashboard at https://app.sikaru.ai.

Work is prepaid with credits, and an agent can fund it: sikaru credits add --amount 20 creates an offer that an agent wallet pays, even for a brand-new organization. People can instead save a card in Billing at https://app.sikaru.ai, which also adds a one-time $5 starting credit.

Repository layout

PathContents
.claude-plugin/Claude Code plugin and marketplace manifests
.codex-plugin/, .agents/plugins/Codex plugin and marketplace manifests
.mcp.jsonThe sikaru-docs MCP server for Claude Code and Codex
server.jsonThe docs server's MCP Registry entry, ai.sikaru/docs
plugin.json, mcp.jsonAgent Plugins manifest and MCP servers, used by Capy and other spec-following hosts
skills/The skills; each has a SKILL.md and Codex metadata in agents/openai.yaml
skills.sh.jsonSkill list for npx skills
scripts/validate.pyManifest, skill and CLI-command checks

Development

python3 scripts/validate.py --cli "$(which sikaru)"

claude plugin validate .

The --cli check runs every sikaru … command the skills mention with -h. A renamed or removed CLI command fails the check.

License

MIT

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