Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Read-only search over the public Sikaru documentation: managed agents, inference, evals and traces.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://docs.sikaru.ai/_mcp/serverRun this in your terminal
claude mcp add --transport http docs https://docs.sikaru.ai/_mcp/serverPaste 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.
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:
https://docs.sikaru.ai/_mcp/serverMenu 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.
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.
searchDocsSearch the documentation at https://docs.sikaru.ai. Returns relevant doc passages with source URLs.
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
The registry name was verified against the domain sikaru.ai (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 391 ms (HTTP 200)
No sign-in needed
Read 1 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 days ago.
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.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
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.
claude plugin marketplace add aadi-labs/sikaru-plugins
claude plugin install sikaru@sikaru
codex plugin marketplace add aadi-labs/sikaru-plugins
codex plugin add sikaru@sikaru
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):
| Agent | Command |
|---|---|
| Pi | npx skills add aadi-labs/sikaru-plugins -a pi |
| OpenCode | npx skills add aadi-labs/sikaru-plugins -a opencode |
| Cursor | npx skills add aadi-labs/sikaru-plugins -a cursor |
| Devin for Terminal | npx skills add aadi-labs/sikaru-plugins -a devin |
| Gemini CLI | npx skills add aadi-labs/sikaru-plugins -a gemini-cli |
| GitHub Copilot | npx skills add aadi-labs/sikaru-plugins -a github-copilot |
| Amp | npx skills add aadi-labs/sikaru-plugins -a amp |
| Cline | npx skills add aadi-labs/sikaru-plugins -a cline |
| Windsurf | npx skills add aadi-labs/sikaru-plugins -a windsurf |
| Goose | npx skills add aadi-labs/sikaru-plugins -a goose |
| Factory Droid | npx skills add aadi-labs/sikaru-plugins -a droid |
| Kilo Code | npx skills add aadi-labs/sikaru-plugins -a kilo |
| Roo Code | npx skills add aadi-labs/sikaru-plugins -a roo |
| Zed | npx skills add aadi-labs/sikaru-plugins -a zed |
| Warp | npx skills add aadi-labs/sikaru-plugins -a warp |
| OpenHands | npx skills add aadi-labs/sikaru-plugins -a openhands |
| Kiro CLI | npx skills add aadi-labs/sikaru-plugins -a kiro-cli |
| Qwen Code | npx 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 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.
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.json: {"mcp": {"sikaru-docs": {"type": "remote", "url": "https://docs.sikaru.ai/_mcp/server"}}}~/.gemini/settings.json: {"mcpServers": {"sikaru-docs": {"httpUrl": "https://docs.sikaru.ai/_mcp/server"}}}.cursor/mcp.json: {"mcpServers": {"sikaru-docs": {"url": "https://docs.sikaru.ai/_mcp/server"}}}.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.
| Skill | Use it to |
|---|---|
sikaru | Start any Sikaru task. It routes to the skills below and holds the shared rules. |
sikaru-setup | Install the CLI, sign up or sign in, choose a project, get an API key, add credits |
sikaru-inference | List and compare catalog models, and chat from the CLI or the OpenAI-shaped SDKs |
sikaru-decision | Ask System One choice, yes-or-no and score questions about a text or JSON state |
author-sikaru-agent | Write, validate, review, publish and run a managed agent from one Markdown document |
sikaru-evals | Push environment datasets, run evals against the live agent, and read the failures |
sikaru-traces | Upload OTLP, ATIF or OpenInference traces and read run trajectories |
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:
| Language | Install | Import |
|---|---|---|
| Python | pip install sikaru-sdk or uv add sikaru-sdk | from sikaru_sdk import SikaruApi |
| TypeScript | npm install @aadi-labs/sikaru-sdk | import { 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 $5 starting credit.
| Path | Contents |
|---|---|
.claude-plugin/ | Claude Code plugin and marketplace manifests |
.codex-plugin/, .agents/plugins/ | Codex plugin and marketplace manifests |
.mcp.json | The sikaru-docs MCP server for Claude Code and Codex |
server.json | The docs server's MCP Registry entry, ai.sikaru/docs |
plugin.json, mcp.json | Agent Plugins manifest and MCP servers, used by Capy and other spec-following hosts |
skills/ | The skills; each has a SKILL.md and Codex metadata in agents/openai.yaml |
skills.sh.json | Skill list for npx skills |
scripts/validate.py | Manifest, skill and CLI-command checks |
python3 scripts/validate.py --cli "$(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.
MIT