Skip to content
cccskills
FreePublished on GitHub

langbot-space-ops

Search LangBot Space for plugins, MCP servers, and skills through MCP, a protocol for connecting agents to tools. Inspect item details, check plugin usage compatibility, and review model availability to support setup decisions.

OriginalShow the original 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".

See how to install

Good for

  • Find LangBot plugins for agent workflows
  • Browse MCP servers and skills
  • Check model availability during setup
  • Configure a connection to LangBot Space

Files included (1)

  • SKILL.md4.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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/mcp

Transport: 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

ToolPurpose
list_plugins / search_plugins / get_pluginPlugin marketplace
list_mcp_servers / search_mcp_servers / get_mcp_serverMCP-server marketplace
list_skills / search_skills / get_skillSkill marketplace
select_modelsLive 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

  1. Create a PAT in your Space account settings.
  2. Point your MCP client at https://space.langbot.app/mcp with the Bearer PAT.
  3. Use search_plugins / search_mcp_servers / search_skills to find items, then get_* for details (e.g. to obtain author/name for installation in LangBot itself).
  4. For automatic local-agent setup, call select_models (optionally with category) and choose the first compatible item. Ordering is latest probe state (available, unprobed, unavailable), then Space recommendation. Each item includes availability.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.

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 SDK github.com/modelcontextprotocol/go-sdk). Tools call the service layer (PluginService, MCPService, SkillService, ModelStatusService) directly.
  • Mount: internal/controller/api.go at /mcp and /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's lbk_ 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.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

langbot-deploy

FreeSummary

Deploy and configure LangBot with Docker Compose or Kubernetes. Set up application settings, plugin execution, the Box sandbox for isolated commands, and API authentication, with guidance on hosting choices and common deployment problems.

  • Deploy LangBot on a self-hosted server
  • Configure Box and the plugin runtime
  • Enable API authentication for agent access
langbot-app/LangBot18.3KUpdated Oct 18, 2026

langbot-dev

FreeSummary

Develop and debug LangBot's backend and web frontend. The skill guides environment setup, API additions, authentication, database migrations, and testing, including updates to matching MCP tools so agents can use changed API features.

  • Set up the LangBot backend and frontend for development
  • Add an API endpoint and its matching MCP tool
  • Update the database schema with Alembic
langbot-app/LangBot18.3KUpdated Oct 18, 2026

Develop and migrate LangBot messaging adapters for Event-Based Agents, its event-driven architecture. Check conversion into shared event and message formats, implement platform APIs, and verify behavior through unit tests and real platform interactions.

  • Adding a messaging platform adapter to LangBot
  • Migrating an existing adapter to the EBA layout
  • Testing event and message conversion in both directions
langbot-app/LangBot18.3KUpdated Oct 18, 2026

Prepare a local LangBot environment for development and browser testing. The skill covers service startup, shared connection settings, browser access, proxy troubleshooting, and reusable login profiles, with guidance for Linux and WSL environments.

  • Prepare a local Linux or WSL development environment
  • Start services and verify WebUI access
  • Choose Computer Use or Playwright MCP for browser control
langbot-app/LangBot18.3KUpdated Oct 18, 2026

langbot-mcp-ops

FreeSummary

Manage LangBot bots and processing workflows through MCP, a standard for connecting agents to tools. Configure authenticated access, inspect resources, update supported settings, and investigate execution histories, logs, and model request diagnostics.

  • Connect an MCP client to LangBot
  • Create or update bots and processing workflows
  • Investigate execution logs and errors
langbot-app/LangBot18.3KUpdated Oct 18, 2026

Build and debug LangBot plugins that handle messages, commands, and AI tool calls. The skill covers SDK usage, common errors, test environment setup, WebSocket message testing, and preparation for publishing to LangBot Space.

  • Create a plugin that reacts to incoming messages
  • Fix plugin SDK errors and missing responses
  • Test group and private chats through WebSocket
langbot-app/LangBot18.3KUpdated Oct 18, 2026

See all skills by langbot-app

Report a problem with this skill