SiteGPT Docs MCP server
online · 100% uptimeio.github.sitegpt/sitegpt-docs·v1.0.1Search the SiteGPT documentation: setup, features, API reference, troubleshooting.
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SiteGPT Docs tools (3, 2 write)
write = sends, deletes, buys or postsquery_docs_filesystem_site_gpt_docswrite actionFreeRun a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the SiteGPT Docs documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path to `head` or `cat` — a page at the URL path `/some/page` lives at `/some/page.mdx`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Paths are specific to this site — never guess them.** Discover real paths with `tree / -L 2`, `ls /`, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use `rg -il "keyword" /` to find where it is covered. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /some-directory && ls` or `ls /some-directory`). Do NOT assume that `cd` in one call affects the next call. Examples (replace the placeholder paths with real ones from `tree` or search): - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /some-directory/` — show matches with 3 lines of context around each hit - `head -80 /some/page.mdx` — read the top 80 lines of a specific page - `head -80 /page-one.mdx /page-two.mdx /section/page-three.mdx` — read multiple pages in one call - `cat /some/page.mdx` — read a full page when you need everything - `cat '/openapi/https://sitegpt.ai/api/v2/openapi.json' | jq '.paths | keys'` — list OpenAPI endpoints OpenAPI specs for this site are mounted at: `'/openapi/https://sitegpt.ai/api/v2/openapi.json'`, `'/openapi/https://sitegpt.ai/openapi.yaml'`. Use them to answer questions about endpoints, request/response schemas, parameters, and authentication. Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/some/page.mdx` becomes `/some/page`.
search_site_gpt_docsFreeSearch across the SiteGPT Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about SiteGPT Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. a result at `/some/page` is read with `head -200 /some/page.mdx`).
submit_feedbackwrite actionFreeReport a problem with this documentation site so the docs team can fix it. Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example. This is for feedback about the documentation content itself — not for product support requests or feedback about this tool or assistant.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 1864ms20/20
- Tool poisoning3 tool descriptions checked13/15
- Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
- Maintenancelast push 69 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Findings (2)
- highWrite-action tools reachable without authentication
auth.open-write - lowUnusually long tool description (over 2,000 characters)
poison.long-descriptiontool query_docs_filesystem_site_gpt_docs: …Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the SiteGPT Docs documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path to `head` or `cat` — a page at the URL path `/some/page` lives at `/some/page.mdx`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Paths are specific to this site — never guess them.** Discover real paths with `tree / -L 2`, `ls /`, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use `rg -il "keyword" /` to find where it is covered. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /some-directory && ls` or `ls /some-directory`). Do NOT assume that `cd` in one call affects the next call. Examples (replace the placeholder paths with real ones from `tree` or search): - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /some-directory/` — show matches with 3 lines of context around each hit - `head -80 /some/page.mdx` — read the top 80 lines of a specific page - `head -80 /page-one.mdx /page-two.mdx /section/page-three.mdx` — read multiple pages in one call - `cat /some/page.mdx` — read a full page when you need everything - `cat '/openapi/https://sitegpt.ai/api/v2/openapi.json' | jq '.paths | keys'` — list OpenAPI endpoints OpenAPI specs for this site are mounted at: `'/openapi/https://sitegpt.ai/api/v2/openapi.json'`, `'/openapi/https://sitegpt.ai/openapi.yaml'`. Use them to answer questions about endpoints, request/response schemas, parameters, and authentication. Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/some/page.mdx` becomes `/some/page`.…
How SiteGPT Docs compares
Against every graded Productivity MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 76/100
- higher than 43% of 1,299 Productivity servers
- Tools
- 3
- the typical Productivity server has 7
- Tools that change things
- 67%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote Productivity server answers 100%
- Response time
- 682 ms
- faster than 19% of 655 Productivity servers
What its tools let an agent do: 1 read · 2 change
Install SiteGPT Docs in Claude Code, Cursor or VS Code
claude mcp add --transport http sitegpt-docs https://sitegpt.ai/docs/mcp
What the publisher says
From the SiteGPT Docs repository's README, as published. We do not edit it. Read it on GitHub
SiteGPT Agent Skills
Official SiteGPT skills for AI agents.
These skills teach agents how to use SiteGPT through the SiteGPT CLI so they can manage chatbots, knowledge, conversations, settings, team access, and account resources from an agent environment.
SiteGPT also publishes https://sitegpt.ai/auth.md for agent environments that support Auth.md-style discovery of the anonymous try-before-signup onboarding flow.
Install
As a Claude Code plugin (also works in Cowork):
/plugin marketplace add sitegpt/agent-skills
/plugin install sitegpt@sitegptWith the skills CLI (any agent environment that supports Agent Skills):
npx skills add sitegpt/agent-skillsBoth deliver the same skill. This repository is dual-packaged: an Agent Skills repo (skills.sh) and a Claude Code plugin marketplace (.claude-plugin/).
Available Skills
sitegpt
Orientation skill: what SiteGPT is, which surface to use (CLI, MCP connector, REST API, or no-signup onboarding), and where the deep workflows live. Routes terminal work to sitegpt-cli.
sitegpt-cli
Use the SiteGPT CLI to manage SiteGPT accounts and chatbots from AI agents such as Codex, Claude Code, Cursor, OpenCode, Gemini CLI, Windsurf, Cline, and other skill-compatible coding agents.
Use when:
user does not have a SiteGPT account yet.
- Creating a SiteGPT chatbot from a website.
- Creating a try-before-signup chatbot through agent-first onboarding when the
- Adding knowledge from links, websites, sitemaps, files, YouTube videos, text, and connected data sources.
- Managing personas, instructions, settings, conversation starters, followups, and custom responses.
- Reading and managing conversations, messages, leads, tags, members, invites, usage, billing, and API tokens.
- Troubleshooting SiteGPT CLI command usage.
The skill is a single self-contained SKILL.md: the agent-facing workflow, discovery brief, onboarding and account playbooks, command map, and safety rules in one file. The SiteGPT CLI itself is the source of truth for exact command syntax — agents run sitegpt --help for flags, so the skill deliberately does not duplicate a per-command reference.
Install in Cursor
This repository is also a Cursor plugin (skills + the remote MCP server). In Cursor, run /add-plugin and pick SiteGPT, or install from the marketplace listing. The MCP server connects your SiteGPT account with browser OAuth; the skills work with no account via agent-first onboarding.
Installation
Install the SiteGPT CLI skill with the open skills CLI:
npx skills add sitegpt/agent-skills --skill sitegpt-cliInstall into a specific agent:
npx skills add sitegpt/agent-skills --skill sitegpt-cli -a codex
npx skills add sitegpt/agent-skills --skill sitegpt-cli -a claude-code
npx skills add sitegpt/agent-skills --skill sitegpt-cli -a cursorInstall globally:
npx skills add sitegpt/agent-skills --skill sitegpt-cli --globalList available skills without installing:
npx skills add sitegpt/agent-skills --listUpdate installed skills later:
npx skills update sitegpt-cliSiteGPT CLI Prerequisite
The skills CLI installs this agent skill. The SiteGPT CLI is the actual command-line tool the agent will run after the skill is installed.
Install the SiteGPT CLI first:
npm install -g @sitegpt/cliThen choose the right flow:
sitegpt onboarding start , configure and test the temporary chatbot, then share the onboarding URL for preview and claim.
- No SiteGPT account yet: do not log in first. Ask the agent to run
- Existing SiteGPT account: authenticate, then use normal account commands.
For existing accounts, authenticate with device login:
sitegpt loginShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
SiteGPT Docs: common questions
- Is SiteGPT Docs MCP server safe?
- Mostly: it is graded B (76/100). Read the SiteGPT Docs safety report
- How do I install SiteGPT Docs?
- It runs remotely at sitegpt.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does SiteGPT Docs need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is SiteGPT Docs maintained?
- The last commit was 72 days ago (2026-08-24). The latest release is v1.0.1.
- Is SiteGPT Docs up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of SiteGPT Docs?
- Servers from other publishers that do the same job: classifier.dev docs MCP server, Qiskit Documentation MCP Server and Docs MCP server.
- How does SiteGPT Docs compare with other Productivity MCP servers?
- safety score 76/100 (higher than 43% of 1,299 Productivity servers); tools 3 (the typical Productivity server has 7); tools that change things 67% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
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Same job from other publishers: the closest match first, then the best rated.
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