trip2g

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
85%
Qualität der Benennung
82%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool 'instructions' description lacks action verbin instructions
  • LOWTool 'wiki' description lacks action verbin wiki

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~3,192Tokens (Tool-Definitionen)
~2.2 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.49% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "trip2g": {
      "url": "https://trip2g.com/_system/mcp"
    }
  }
}

Remote-Endpunkte

https://trip2g.com/_system/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (11)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢expand(href, note_id, path, pid, toc_path)

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_children. A section with subsections lists them; a section without subsections is returned in full (what note_html gives for that toc_path, plus section_html in the payload), so no second call is needed to read a leaf. This cannot be turned off, and a client that wants only structure never triggers it: has_children on each listed child says where descending would turn into reading.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "href": {
      "type": "string",
      "description": "String note href, copied verbatim from a search result's href field"
    },
    "note_id": {
      "type": "number",
      "description": "Same as pid: non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id. Prefer path"
    },
    "path": {
      "type": "string",
      "description": "String note path, e.g. \"concepts/maska-i-glubina.md\" — copy verbatim from a search result's note_path field. The default, preferred way to reference a note"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id. Prefer path"
    },
    "toc_path": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Breadcrumb path to the node to expand, e.g. [\"Chapter 1\"]. Omit or [] for the top level."
    }
  }
}
🟢federated_expand(href, kb_id, note_id, path, pid, ...)

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 federated_note_html would return it — has_children on each listed child says where that happens.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "href": {
      "type": "string",
      "description": "String remote note href, copied verbatim from a federated_search result's href field"
    },
    "kb_id": {
      "type": "string",
      "description": "Target knowledge base id; nested bases use '/' (e.g. \"philosophers/nietzsche\" routes through the 'philosophers' peer, recursively). Federation nests up to 3 levels deep (kb_id path segments); a deeper path is rejected."
    },
    "note_id": {
      "type": "string",
      "description": "Same remote note id as pid, but as a STRING (uint64) — stringify the federated_search result's note_id field. Prefer path"
    },
    "path": {
      "type": "string",
      "description": "String remote note path, copied verbatim from a federated_search result's note_path field"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) remote note id, copied verbatim from a federated_search result's note_id field. Prefer path"
    },
    "toc_path": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Breadcrumb path to the node to expand. Omit or [] for the top level."
    }
  },
  "required": [
    "kb_id"
  ]
}
🟢federated_instructions(kb_id)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "kb_id": {
      "type": "string",
      "description": "Target knowledge base id; nested bases use '/' (e.g. \"philosophers/nietzsche\" routes through the 'philosophers' peer, recursively)"
    }
  },
  "required": [
    "kb_id"
  ]
}
🟢federated_note_html(href, kb_id, match_id, note_id, path, ...)

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.match_id>) reads just the focused chunk around a hit. Only pass pid/note_id if you already copied that exact id from a result. path is a string like "concepts/x.md"; match_id is "p<pid>:c<chunk>"; a value like ":" or "/hub/goethe.md" is a PATH, not a note_id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "href": {
      "type": "string",
      "description": "String remote note href or absolute URL, copied verbatim from a federated_search result's href field"
    },
    "kb_id": {
      "type": "string",
      "description": "Target knowledge base id; nested bases use '/' (e.g. \"philosophers/nietzsche\" routes through the 'philosophers' peer, recursively). Federation nests up to 3 levels deep (kb_id path segments); a deeper path is rejected."
    },
    "match_id": {
      "type": "string",
      "description": "String chunk id of the form \"p<pid>:c<chunk>\", copied verbatim from a remote search match's match_id field; alone it is enough to resolve the note"
    },
    "note_id": {
      "type": "string",
      "description": "Same remote note id as pid, but as a STRING (uint64) — stringify the federated_search result's note_id field. Not a path, slug, or match_id. Prefer path or match_id"
    },
    "path": {
      "type": "string",
      "description": "String remote note path, copied verbatim from a federated_search result's note_path field"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) remote note id, copied verbatim from a federated_search result's note_id field. Not a path, slug, or match_id. Prefer path or match_id"
    },
    "toc_path": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Breadcrumb path to a specific section, e.g. [\"Chapter 1\", \"Introduction\"]. Use toc_path from a federated_search match, or a child path from federated_expand. Wins over match_id when both are given. Without either the whole note comes back."
    }
  },
  "required": [
    "kb_id"
  ]
}
🟢federated_search(detail_limit, kb_id, kb_ids, limit, query)

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 the 'philosophers' peer to the base it federates (recursive), up to 3 levels deep. Canonical call: 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, not hub cards.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "detail_limit": {
      "type": "number",
      "description": "How many results include full snippet matches; results beyond this are returned as lightweight previews (title, path, score) to save context (default 3)"
    },
    "kb_id": {
      "type": "string",
      "description": "Target knowledge base id; nested bases use '/' (e.g. \"philosophers/nietzsche\" routes through the 'philosophers' peer, recursively). Federation nests up to 3 levels deep (kb_id path segments); a deeper path is rejected."
    },
    "kb_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Target knowledge base ids; each accepts the same nested 'peer/base' form as kb_id"
    },
    "limit": {
      "type": "number",
      "description": "Max number of results to return (default 6)"
    },
    "query": {
      "type": "string",
      "description": "Search query"
    }
  },
  "required": [
    "query"
  ]
}
🟢federated_similar(href, kb_id, limit, note_id, path, ...)

Find remote notes similar to a known note reference inside a connected knowledge base. Preferred: path (a federated_search result's note_path field).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "href": {
      "type": "string",
      "description": "String remote note href, copied verbatim from a federated_search result's href field"
    },
    "kb_id": {
      "type": "string",
      "description": "Target knowledge base id; nested bases use '/' (e.g. \"philosophers/nietzsche\" routes through the 'philosophers' peer, recursively). Federation nests up to 3 levels deep (kb_id path segments); a deeper path is rejected."
    },
    "limit": {
      "type": "number",
      "description": "Max number of results"
    },
    "note_id": {
      "type": "string",
      "description": "Same remote note id as pid, but as a STRING (uint64) — stringify the federated_search result's note_id field. Prefer path"
    },
    "path": {
      "type": "string",
      "description": "String remote note path, copied verbatim from a federated_search result's note_path field"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) remote note id, copied verbatim from a federated_search result's note_id field. Prefer path"
    }
  },
  "required": [
    "kb_id"
  ]
}
⚪instructions

Full tool reference for the trip2g documentation base

Eingabe-Schema

{
  "type": "object"
}
🟢note_html(context_words, href, match_id, note_id, path, ...)

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 pass pid/note_id if you already copied that exact integer from a result's note_id field — never invent one. path is a string like "concepts/x.md"; match_id is "p<pid>:c<chunk>"; a value like ":" or "/hub/goethe.md" is a PATH, not a note_id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "context_words": {
      "type": "number",
      "description": "Optional future hint for expanding focused reads"
    },
    "href": {
      "type": "string",
      "description": "String note href or absolute URL, copied verbatim from a search result's href field"
    },
    "match_id": {
      "type": "string",
      "description": "String chunk id of the form \"p<pid>:c<chunk>\" (e.g. \"p32:c4\"), copied verbatim from a search match's match_id field. Alone it is enough to resolve the note and reads a focused window around that hit"
    },
    "note_id": {
      "type": "number",
      "description": "Same as pid: non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id. Prefer path or match_id"
    },
    "path": {
      "type": "string",
      "description": "String note path, e.g. \"concepts/maska-i-glubina.md\" — copy verbatim from a search result's note_path field. The default, preferred way to open a note"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id — a value like \":\" or \"/hub/goethe.md\" is a path, not a note id. Prefer path or match_id"
    },
    "toc_path": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Breadcrumb path to a specific section, e.g. [\"Chapter 1\", \"Introduction\"]. Use toc_path from a search match, or a child path from expand. Wins over match_id when both are given: match_id is only used when toc_path is absent."
    }
  }
}
🟢search(detail_limit, limit, query)

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=<result.note_path>, toc_path=[...]) to read the matched section, or expand(path=<result.note_path>, toc_path=[...]) to navigate the note's structure level by level; 3) note_html(path=<result.note_path>, match_id=<match.match_id>) for a focused chunk window. Each match also carries section_url — a link straight to that heading, for citing the section rather than the whole note.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "detail_limit": {
      "type": "number",
      "description": "How many results include full snippet matches; results beyond this are returned as lightweight previews (title, path, score) to save context (default 3)"
    },
    "limit": {
      "type": "number",
      "description": "Max number of results to return (default 6)"
    },
    "query": {
      "type": "string",
      "description": "Search query"
    }
  },
  "required": [
    "query"
  ]
}
🟢similar(href, limit, note_id, path, pid)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "href": {
      "type": "string",
      "description": "String note href, copied verbatim from a search result's href field"
    },
    "limit": {
      "type": "number",
      "description": "Max number of results (default 10)"
    },
    "note_id": {
      "type": "number",
      "description": "Same as pid: non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id. Prefer path"
    },
    "path": {
      "type": "string",
      "description": "String note path, e.g. \"concepts/maska-i-glubina.md\" — copy verbatim from a search result's note_path field. The default, preferred way to reference a note"
    },
    "pid": {
      "type": "number",
      "description": "Non-negative integer (uint64) note id, copied verbatim from a search result's note_id field. Not a path, slug, or match_id — a value like \":\" or \"/hub/goethe.md\" is a path, not a note id. Prefer path"
    }
  }
}
⚪wiki

Wiki Knowledge Base Instructions

Eingabe-Schema

{
  "type": "object"
}

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