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Browses and searches the LangBot Space marketplaces for plugins, MCP servers and skills through its read-only MCP server, authenticated with a personal access token.
Install LangBot Space MCP
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langbot-app/LangBot langbot-space-ops --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills/langbot-space-ops .claude/skills/langbot-space-ops && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .claude/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-opsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langbot-app/LangBot langbot-space-ops --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skills/langbot-space-ops .agents/skills/langbot-space-ops && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .agents/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langbot-app/LangBot langbot-space-ops --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skills/langbot-space-ops .cursor/skills/langbot-space-ops && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .cursor/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langbot-app/LangBot.git --path skills/skills/langbot-space-ops--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langbot-app/LangBot langbot-space-ops --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skills/langbot-space-ops .gemini/skills/langbot-space-ops && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .gemini/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langbot-app/LangBot langbot-space-opsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skills/langbot-space-ops .github/skills/langbot-space-ops && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .github/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langbot-app/LangBot --skill langbot-space-ops -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langbot-app/LangBot langbot-space-ops --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skills/langbot-space-ops .opencode/skills/langbot-space-ops && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langbot-space-ops" agent skill from https://github.com/langbot-app/LangBot/tree/master/skills/skills/langbot-space-ops into .opencode/skills/langbot-space-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langbot-space-ops", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langbot-space-ops- GitHub stars
- 18k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 500 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Browses and searches the LangBot Space marketplaces for plugins, MCP servers and skills through its read-only MCP server, authenticated with a personal access token.
- Works in 4 steps: Create a PAT in your Space account… → Point your MCP client at… → Use search_plugins / search_mcp_servers… → …
- Finding LangBot plugins that fit a task
- SKILL.md covers Endpoint, Authentication, Client configuration and Tool surface, plus 4 more sections
- Reaches space.langbot.app
What it does
LangBot Space exposes an MCP server over streamable HTTP at an /mcp endpoint, so an agent can discover plugins, MCP servers and skills in its marketplaces and rank live models for automated setup. Authentication reuses the Personal Access Token that the lbp CLI uses, sent as a Bearer token, and requests without a valid token get a 401. A self-hosted Space instance uses its own host on port 8383.
The tool surface has list, search and get tools for each of the three marketplaces, plus select_models, which returns a best-first list of live models ordered by probe state and recommendation. List and search results are paged, get tools take an author and a name, and every tool is read-only. Plugin searches can filter by runner usage for agent or event processors. The skill also shows the client configuration block for adding the server.
When your agent uses it
- Finding LangBot plugins that fit a task
- Searching the marketplace for MCP servers or skills
- Looking up the author and name needed to install an extension
- Choosing a model during an automated LangBot setup
Example prompts
- “Search the LangBot Space for plugins that translate messages.”
- “List the MCP servers available in the LangBot marketplace.”
- “Pick the first available model for a setup wizard with select_models.”
- “Get the details of the plugin named weather-bot by its author.”
Requirements
- A LangBot Space Personal Access Token
- An MCP client pointed at the Space /mcp endpoint
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Create a PAT in your Space account settings.
- Point your MCP client at https://space.langbot.app/mcp with the Bearer PAT.
- Use search_plugins / search_mcp_servers / search_skills to find items,
- For automatic local-agent setup, call select_models (optionally with
What it can do on your machine
Read from SKILL.md and the folder at commit 40a3a94. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
space.langbot.app
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
LangBot Space MCP loads about 1.3k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 500 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from langbot-app/LangBot at commit 40a3a94, republished under its Apache-2.0 licence (© langbot-app). 500 words, ~1,251 tokens.
Download SKILL.mdSave it as
.claude/skills/langbot-space-ops/SKILL.md (or your agent's skills folder).- name
- langbot-space-ops
- description
- Browse and search the LangBot Space marketplaces (plugins, MCP servers, skills) through the Space MCP server. Use when an AI agent needs to discover LangBot extensions on space.langbot.app over MCP. Covers the /mcp endpoint, Personal Access Token (PAT) auth, the tool surface, and client configuration. Triggers on "langbot space mcp", "search langbot plugins", "langbot marketplace mcp", "space.langbot.app mcp".
LangBot Space MCP Operations
LangBot Space (space.langbot.app) exposes an MCP server so user-facing AI agents can browse and search the marketplaces (plugins, MCP servers, skills) and rank live models for automated setup.
Endpoint
https://space.langbot.app/mcpTransport: streamable HTTP (stateless, JSON responses). For a self-hosted
Space instance: http://<host>:8383/mcp.
Authentication
Reuses the existing Personal Access Token (PAT) — the same token the lbp
CLI uses. Create one in your Space account (Profile → Personal Access Tokens),
then send it as a Bearer token:
Authorization: Bearer <your-pat>Requests without a valid PAT get 401 Unauthorized.
Client configuration
{
"mcpServers": {
"langbot-space": {
"url": "https://space.langbot.app/mcp",
"headers": { "Authorization": "Bearer <your-pat>" }
}
}
}Tool surface
| Tool | Purpose |
|---|---|
list_plugins / search_plugins / get_plugin | Plugin marketplace |
list_mcp_servers / search_mcp_servers / get_mcp_server | MCP-server marketplace |
list_skills / search_skills / get_skill | Skill marketplace |
select_models | Live best-first model list for setup wizards; optional category filter |
list_* and search_* are paged (page, page_size). get_* takes
author + name. The tool surface mirrors the REST endpoints under
/api/v1/marketplace/*; select_models mirrors /api/v1/models/selection.
All tools are read-only.
How to use
- Create a PAT in your Space account settings.
- Point your MCP client at
https://space.langbot.app/mcpwith the Bearer PAT. - Use
search_plugins/search_mcp_servers/search_skillsto find items, thenget_*for details (e.g. to obtain author/name for installation in LangBot itself). - For automatic local-agent setup, call
select_models(optionally withcategory) and choose the first compatible item. Ordering is latest probe state (available, unprobed, unavailable), then Space recommendation. Each item includesavailability.up,last_probed_at, latency, and HTTP status.
Runner usage recommendations
Use search_plugins with runner_usage: "agent" for Agent, pipeline, and
setup-wizard recommendations, or runner_usage: "event" for event processors.
The component kind remains Runner. Only these two exact values are accepted;
omit the optional field to preserve unfiltered browsing.
{"query":"", "runner_usage":"agent", "page":1, "page_size":100}Plugin results include latest_version and runner_usages: string[], the
explicit union of usages in that latest installable version. Only recommend a
plugin when this array explicitly contains the target usage. Missing, empty,
malformed, or unknown usages must never mean agent-compatible. Event-only
plugins must never enter Agent recommendations. Empty filtered results are
valid while legacy packages await corrected releases; never remove the filter
to fill a recommendation list.
Show full SKILL.md (170 more words)Show less
REST callers use runner_usage on both
POST /api/v1/marketplace/extensions/search and the compatibility
POST /api/v1/marketplace/plugins/search; preserve it during fallback. Add
"type_filter":"plugin", "component_filter":"Runner" on the unified endpoint.
Usage is ANDed with other filters before pagination and total; MCP/Skill items
do not match. Invalid REST values return HTTP 400.
Open the same filter in the webpage:
https://space.langbot.app/market?type=plugin&component=Runner&runner_usage=agent
(or runner_usage=event). Switch All / Agent / Event in the Runner usage row.
Implementation & maintenance (for Space developers)
- Server:
internal/controller/mcp/server.go(official Go MCP SDKgithub.com/modelcontextprotocol/go-sdk). Tools call the service layer (PluginService,MCPService,SkillService,ModelStatusService) directly. - Mount:
internal/controller/api.goat/mcpand/mcp/*any. - Auth: PAT via
AccountService.ValidatePersonalAccessToken. - Docs:
docs/MCP_SERVER.md.
When you add, remove, or change a marketplace API endpoint that should be agent-accessible, update the corresponding MCP tool and this skill. The MCP tool surface and the API must stay aligned (see
AGENTS.md).
Pitfalls
- The PAT prefix is
lbpat_(Space), distinct from LangBot'slbk_API keys. - This server is read/browse only; it does not publish or modify marketplace items. Use the web UI or REST API (with appropriate auth) for that.
© langbot-app, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/skills/langbot-space-ops of langbot-app/LangBot.
Open the folder on GitHubat commit 40a3a94
Compare with similar skills
LangBot Space MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LangBot Space MCP this skilllangbot-app/LangBot | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Agenticmailagenticmail/agenticmail | 235 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Orchardokooo5km/Skills4U | 183 | — | ~5k | Automated safety check: Warn | MIT | |
| Aris InfraOpenLAIR/dr-claw | 1.2k | — | ~1.4k | Automated safety check: Notes | MIT | |
| Linkdigest Social Link Readersickn33/agentic-awesome-skills | 47k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Burp MCP Vuln Checklangbyyi/CyberStrikeAI-SRC | 134 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
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Guides building, debugging and testing LangBot plugins: components, SDK calls, README and locale rules, SDK pitfalls and WebSocket-based testing.
LangBot Deployment Guide
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Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
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Covers developing the LangBot core backend and web UI: dev setup, repo layout, API auth types, adding endpoints, migrations and keeping the MCP server in step.
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Guides building, migrating and testing LangBot messaging-platform adapters for the Event-Based Agents layout, with unified event and message conversion.
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Manages a LangBot instance over its built-in MCP server: endpoint, API-key authentication, client config and the tool set for bots, processors and more.
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Related
Works with
Categories
Questions about LangBot Space MCP
What does LangBot Space MCP do?
Browses and searches the LangBot Space marketplaces for plugins, MCP servers and skills through its read-only MCP server, authenticated with a personal access token. LangBot Space exposes an MCP server over streamable HTTP at an /mcp endpoint, so an agent can discover plugins, MCP servers and skills in its marketplaces and rank live models for automated setup. Authentication reuses the Personal Access Token that the lbp CLI uses, sent as a Bearer token, and requests without a valid token get a 401.
When should I use LangBot Space MCP?
LangBot Space MCP fits situations like: finding LangBot plugins that fit a task; searching the marketplace for MCP servers or skills; looking up the author and name needed to install an extension; choosing a model during an automated LangBot setup.
How do I install LangBot Space MCP in Claude Code?
Run `npx skills add langbot-app/LangBot --skill langbot-space-ops -a claude-code`. Or copy the skill folder (skills/skills/langbot-space-ops in langbot-app/LangBot) into .claude/skills/langbot-space-ops in your project. Claude Code loads it when a task matches its description.
How do I install LangBot Space MCP in Codex?
Run `npx skills add langbot-app/LangBot --skill langbot-space-ops -a codex`. Or copy the skill folder (skills/skills/langbot-space-ops in langbot-app/LangBot) into .agents/skills/langbot-space-ops in your project. Codex loads it when a task matches its description.
Can I use LangBot Space MCP in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langbot-app/LangBot --skill langbot-space-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langbot-space-ops, .gemini/skills/langbot-space-ops, .github/skills/langbot-space-ops and .opencode/skills/langbot-space-ops in your project.
What does LangBot Space MCP need to run?
SKILL.md names no scripts, command-line tools or credentials: LangBot Space MCP is instructions for the agent only. Our summary lists: A LangBot Space Personal Access Token; An MCP client pointed at the Space /mcp endpoint.
Does LangBot Space MCP access the network?
SKILL.md names 1 domain. In commands or code: space.langbot.app; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is LangBot Space MCP safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does LangBot Space MCP use?
LangBot Space MCP is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LangBot Space MCP use?
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to LangBot Space MCP?
Skills that share tags, products or a category with LangBot Space MCP: Agenticmail (agenticmail/agenticmail, 235 stars), Orchard (okooo5km/Skills4U, 183 stars), Aris Infra (OpenLAIR/dr-claw, 1.2k stars) and Linkdigest Social Link Reader (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LangBot Space MCP?
langbot-app (a GitHub organization) maintains it in langbot-app/LangBot, which has 18,043 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 7, 2026.
Source: langbot-app/LangBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.