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For AI agents — MCPBundles Directory API
Recommended: Directory API v1 over HTTP for detail and anonymous invoke when eligible (not MCP JSON-RPC on the publisher URL; no user MCPBundles credentials on v1).
GET https://www.mcpbundles.com/api/directory/v1/servers/orabotics-mcp-fb46516869
GET https://www.mcpbundles.com/api/directory/v1/servers/orabotics-mcp-fb46516869?live=1 (optional live refresh)
GET https://www.mcpbundles.com/api/directory/v1/servers/orabotics-mcp-fb46516869/tools/<tool> (one tool: schema + invoke.url)
POST https://www.mcpbundles.com/api/directory/v1/servers/orabotics-mcp-fb46516869/tools/{tool}
POST body: flat JSON of tool argument names and values; not an arguments wrapper. Replace {tool} with a tool name from GET detail.
Restricted agent shell (ChatGPT Codex desktop, some IDE sandboxes):
Default command sandboxes often block outbound network. curl exit 6 or "Could not resolve host" for www.mcpbundles.com is usually sandbox DNS — not evidence this site is down.
Retry the same Directory API GET with sandbox_permissions "require_escalated" and a one-sentence justification on the shell tool (Codex on-request approval). Do not tell the user the site is unreachable from sandbox curl alone.
Example justification: Run the public MCPBundles Directory API search outside the command sandbox to complete the user's MCP server lookup.
If the agent has browser access (e.g. Codex @Browser): open https://www.mcpbundles.com/?q=<query> or stay on this page — no shell network needed. Use WebMCP search_mcp_servers then get_mcp_server (document.modelContext / page tools; refresh with fetchTools or getTools if a tool id is missing from the snapshot). Read-only directory search; same index as Directory API v1 GETs. Neither WebMCP nor Directory API v1 uses user MCPBundles credentials.
Without a browser: after escalated curl fails, use GET https://www.mcpbundles.com/?q=<query> with Accept: text/markdown for ranked results.
Hub MCP (connected session): discover_mcp_servers — same filter semantics as search_mcp_servers.
Contract: https://www.mcpbundles.com/agents.md
OpenAPI: https://www.mcpbundles.com/api/directory/v1/openapi.json
Guide: https://www.mcpbundles.com/guides/mcpbundles-directory-api
For MCP client apps (human connect):
MCP connect URL: https://mcp.orabotics.com/mcp
Skill page: https://www.mcpbundles.com/skills/orabotics-mcp-fb46516869
Explore capabilities (47)
other 25
Showing 25 of 47
Showing 25 of 47 tools from the public preview. Connect the server to inspect the full live tool list.
Notebooklm Mcp22
Context72
Other capabilities1
Sequential Thinking Sequentialthinking
other
sequential-thinking_sequentialthinking
A detailed tool for dynamic and reflective problem-solving through thoughts.
This tool helps analyze problems through a flexible thinking process that can adapt and evolve.
Each thought can build on, question, or revise previous insights as understanding deepens.
When to use this tool:
- Breaking down complex problems into steps
- Planning and design with room for revision
- Analysis that might need course correction
- Problems where the full scope might not be clear initially
- Problems that r
Description may be truncated on the public preview.
Sequential Thinking Sequentialthinking — A detailed tool for dynamic and reflective problem-solving through thoughts.
This tool helps analyze problems through a flexible thinking process that can adapt and evolve.
Each thought can build on, question, or revise previous insights as understanding deepens.
When to use this tool:
- Breaking down complex problems into steps
- Planning and design with room for revision
- Analysis that might need course correction
- Problems where the full scope might not be clear initially
- Problems that r
Context7 Resolve Library Id — Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.
You MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.
Each result includes:
- Library ID: Context7-compatible identifier (format: /org/project)
- Name: Library or package name
- Description: Short summary
- Code Snippets:
Context7 Query Docs — Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.
You must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.
Do not call this tool more than 3 times per question.
Notebooklm Mcp Batch — Perform batch operations across multiple notebooks.
Actions:
- query: Query multiple notebooks with the same question
- add_source: Add the same source URL to multiple notebooks
- create: Create multiple notebooks at once
- delete: Delete multiple notebooks (IRREVERSIBLE, requires confirm=True)
- studio: Generate studio artifacts across multiple notebooks
Notebooklm Mcp Notebook Query — Ask AI about EXISTING sources already in notebook. NOT for finding new sources.
Use research_start instead for: deep research, web search, find new sources, Drive search.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Orabotics is an MCP server at mcp.orabotics.com. MCPBundles discovered 47 tools on the live endpoint.
How do I connect Orabotics to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does Orabotics provide?
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Notebooklm Mcp Notebook Query Start — Start a notebook query asynchronously for large notebooks that may timeout.
Use this instead of notebook_query when querying notebooks with many sources
(50+) where the response may take longer than 60 seconds. Returns immediately
with a query_id. Poll notebook_query_status with the query_id to get the result.
Workflow: notebook_query_start -> poll notebook_query_status until completed.
Notebooklm Mcp Notebook Query Status — Check the status of an async notebook query started with notebook_query_start.
Returns the query result when completed, or current status if still in progress.
Poll this tool every few seconds until status is 'completed' or 'error'.
Notebooklm Mcp Cross Notebook Query — Query multiple notebooks and get aggregated answers with per-notebook citations.
Specify notebooks by name, by tags, or use all=True for all notebooks.
Notebooklm Mcp Download Artifact — Download any NotebookLM artifact to a file.
Unified download tool replacing 9 separate download tools.
Supports all artifact types: audio, video, report, mind_map, slide_deck,
infographic, data_table, quiz, flashcards.
Notebooklm Mcp Export Artifact — Export a NotebookLM artifact to Google Docs or Sheets.
Supports:
- Data Tables → Google Sheets
- Reports (Briefing Doc, Study Guide, Blog Post) → Google Docs
Notebooklm Mcp Notebook List — List all notebooks.
Notebooklm Mcp Notebook Get — Get notebook details with sources.
Notebooklm Mcp Notebook Describe — Get AI-generated notebook summary with suggested topics.
Notebooklm Mcp Notebook Create — Create a new notebook.
Notebooklm Mcp Notebook Rename — Rename a notebook.
Notebooklm Mcp Note — Manage notes in a notebook. Unified tool for all note operations.
Supports: create, list, update, delete
Notebooklm Mcp Pipeline — Manage and execute multi-step notebook pipelines.
Actions:
- run: Execute a pipeline on a notebook
- list: List all available pipelines (builtin and user-defined)
Notebooklm Mcp Research Start — Deep research / fast research: Search web or Google Drive to FIND NEW sources.
Use this for: "deep research on X", "find sources about Y", "search web for Z", "search Drive".
Workflow: research_start -> poll research_status -> research_import.
Notebooklm Mcp Research Status — Poll research progress. Blocks until complete or timeout.
Notebooklm Mcp Research Import — Import discovered sources into notebook.
Call after research_status shows status="completed".
Notebooklm Mcp Server Info — Get server version, check for updates, and report auth status.
AI assistants: If update_available is True, inform the user that a new
version is available and suggest updating with the provided command.
auth_status is the result of an AuthHealthChecker probe. The checker
runs a multi-probe strategy (homepage fetch + API fallback) with
30-second TTL caching and mtime-based bypass on auth-file changes.
The reported value may therefore be up to 30 seconds old, and an
external `nlm login` is picke
Notebooklm Mcp Tag — Manage notebook tags and find relevant notebooks by tag matching.
Actions:
- add: Add tags to a notebook for smart selection
- remove: Remove tags from a notebook
- list: List all tagged notebooks with their tags
- select: Find notebooks relevant to a query using tag matching
Notebooklm Mcp Source Add — Add a source to a notebook. Unified tool for all source types.
Supports: url, text, drive, file
Notebooklm Mcp Source List Drive — List sources with types and Drive freshness status.
Use before source_sync_drive to identify stale sources.
Showing the first 25 tools — full list and schemas: Directory API.
MCPBundles probed 47 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does Orabotics require?
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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Request removal from the MCPBundles directory. We stop publishing this listing on mcpbundles.com.
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