MCP server
trip2g Official
io.github.trip2g/trip2g
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Working at last checkOfficial: trip2g.com's GitHub account (trip2g)About 5,031 tokens per request once connected12 tools
https://trip2g.com/_system/mcp
At a glance
- Type
- MCP server
- Publisher
- trip2g.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 12
- Token cost
- About 5,031 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http trip2g https://trip2g.com/_system/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.trip2g] url = "https://trip2g.com/_system/mcp"
Gemini CLI
{"mcpServers":{"trip2g":{"httpUrl":"https://trip2g.com/_system/mcp"}}}
Cursor
{"mcpServers":{"trip2g":{"url":"https://trip2g.com/_system/mcp"}}}
VS Code
{"servers":{"trip2g":{"type":"http","url":"https://trip2g.com/_system/mcp"}}}
Antigravity
agy mcp add trip2g https://trip2g.com/_system/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"trip2g","server_url":"https://trip2g.com/_system/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"trip2g","server_url":"https://trip2g.com/_system/mcp"}
Tools
expand~680 tokens
Walk a note's table of contents level by level (progressive disclosure). Canonical call: expand(path=<result.note_path>, toc_path=[...]) — copy path verbatim from a search result's note_path field. Returns the direct children of a TOC node: omit toc_path (or pass []) for the top-level sections, or pfederated_asset~277 tokens
Get one attachment of a remote note — a file, not text. Canonical loop: federated_note_html(kb_id, path) -> for each name in its assets: federated_asset(kb_id, note_path=<that path>, name=<name>). Returns the asset's size and sha256 and a short-lived download URL on this server that streams the filefederated_expand~539 tokens
Walk a remote note's table of contents level by level inside a connected knowledge base (progressive disclosure), same as expand. Canonical call: federated_expand(kb_id=..., path=<result.note_path>, toc_path=[...]). Omit toc_path for the top level, or pass a toc_path to list that node's subsections.federated_instructions~154 tokens
Fetch the instructions/guidance for a federated knowledge base by kb_id (e.g. "philosophers/nietzsche") — read a base's own conventions before searching it. Nested bases are addressed with '/' and the call routes through each peer recursively.federated_note_html~642 tokens
Read a remote note inside a connected knowledge base. Canonical call, copying fields verbatim from a federated_search result: federated_search(kb_id="philosophers/<author>", query) -> federated_note_html(kb_id="philosophers/<author>", path=<result.note_path>) — the standard way to descend into a leafederated_search~759 tokens
Search connected knowledge bases. Returns snippets with heading breadcrumbs (title > section > subsection) and a precise toc_path per match, same as search; results also carry an absolute kb_id (string) to use verbatim on follow-up calls. Pass kb_id for one base, kb_ids for selected bases, or omit bfederated_similar~336 tokens
Find remote notes similar to a known note reference inside a connected knowledge base. Preferred: path (a federated_search result's note_path field).instructions~36 tokens
Full tool reference for the trip2g documentation basenote_html~617 tokens
Read a note. Canonical calls, copying fields verbatim from a search result: search(query) -> note_html(path=<result.note_path>) reads the whole note; search(query) -> note_html(match_id=<match.match_id>) reads just the focused chunk around a hit (cheaper, targeted); expand(path=<result.note_path>, tsearch~655 tokens
Search notes by query. Returns snippets with a heading breadcrumb (title > section > subsection) that locates the approximate section, plus a precise toc_path per match. Each result carries note_path (string) and note_id (integer); each match carries match_id (string, form "p<pid>:c<chunk>"). Drill-similar~308 tokens
Find related notes from a known note reference. Preferred: path (a search result's note_path field). Use this after opening a promising note when you need nearby context.wiki~28 tokens
Wiki Knowledge Base Instructions
Browse
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