TR

trip2g

io.github.trip2g/trip2g

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

Yes, your AI can use this right now.Answered a live MCP handshake in 719 ms with no sign-in needed and exposes 11 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://trip2g.com/_system/mcp

11 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
expand

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 pass a toc_path to list that section's subsections. Each child has title, level, path, and has_childr

federated_expand

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. A section with subsections lists them; a section without subsections is returned in full, as federa

federated_instructions

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

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 leaf corpus and read real content there, not hub cards. federated_note_html(kb_id=..., match_id=<match.

federated_search

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 both to fan out. Nested bases are addressed with '/': kb_id "philosophers/nietzsche" routes through t

federated_similar

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

Full tool reference for the trip2g documentation base

note_html

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>, toc_path=[...]) -> note_html(path=<result.note_path>, toc_path=[...]) reads one exact section. Only p

search

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-down workflow: 1) search to find the approximate section via the breadcrumb; 2) call note_html(path=

similar

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

Wiki Knowledge Base Instructions

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