Verlauf von mcp-local-rag im Namensraum io.github
io.github.shinpr/mcp-local-rag · Registerstatus: aktiv
Die Quelle liefert zu diesem Eintrag keinen eigenen Namen. In der Überschrift steht deshalb der hintere Teil des Bezeichners; vollständig steht er als Koordinate darunter.
Angaben zu diesem Eintrag melden
Jede veröffentlichte Änderung an diesem Eintrag, die jüngste zuerst.
| 2026-09-16 | Beschreibungen der Umgebungsvariablen (Rohangabe): BASE_DIR=Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set. · BASE_DIRS=JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR. · CACHE_DIR=Directory where Transformers.js models are cached (defaults to ./models/) · CHUNK_MIN_LENGTH=Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion. · DB_PATH=Path to LanceDB database directory (defaults to ./lancedb/) · MAX_FILE_SIZE=Maximum file size in bytes (defaults to 104857600 / 100MB) · MODEL_NAME=Embedding model name (defaults to Xenova/all-MiniLM-L6-v2) · RAG_DEVICE=Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error. · RAG_DTYPE=Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data. · RAG_GROUPING=Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter · RAG_HYBRID_WEIGHT=Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score. · RAG_MAX_DISTANCE=Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only) · RAG_MAX_FILES=Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering. · STORE_IMAGES=Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false). → BASE_DIR=Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set. · BASE_DIRS=JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR. · CACHE_DIR=Directory where Transformers.js models are cached (defaults to ./models/) · CHUNK_MIN_LENGTH=Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion. · DB_PATH=Path to LanceDB database directory (defaults to ./lancedb/) · HF_ENDPOINT=Hugging Face model download endpoint. Set this to a mirror URL when direct downloads are blocked (defaults to https://huggingface.co). · MAX_FILE_SIZE=Maximum file size in bytes (defaults to 104857600 / 100MB) · MODEL_NAME=Embedding model name (defaults to Xenova/all-MiniLM-L6-v2) · RAG_DEVICE=Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error. · RAG_DTYPE=Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data. · RAG_GROUPING=Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter · RAG_HYBRID_WEIGHT=Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score. · RAG_MAX_DISTANCE=Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only) · RAG_MAX_FILES=Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering. · STORE_IMAGES=Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false). |
|---|---|
| 2026-09-16 | Verbindungswege (Quellstruktur): {"packages":[{"registryType":"npm","identifier":"mcp-local-rag","version":"0.18.4","transport":"stdio","environment":[{"name":"BASE_DIR","description":"Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.","format":"string","required":false,"secret":false},{"name":"BASE_DIRS","description":"JSON array of base directories (e.g. '[\"/a\",\"/b\"]'). Takes precedence over BASE_DIR.","format":"string","required":false,"secret":false},{"name":"DB_PATH","description":"Path to LanceDB database directory (defaults to ./lancedb/)","format":"string","required":false,"secret":false},{"name":"CACHE_DIR","description":"Directory where Transformers.js models are cached (defaults to ./models/)","format":"string","required":false,"secret":false},{"name":"MODEL_NAME","description":"Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)","format":"string","required":false,"secret":false},{"name":"MAX_FILE_SIZE","description":"Maximum file size in bytes (defaults to 104857600 / 100MB)","format":"string","required":false,"secret":false},{"name":"RAG_MAX_DISTANCE","description":"Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)","format":"string","required":false,"secret":false},{"name":"RAG_GROUPING","description":"Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter","format":"string","required":false,"secret":false},{"name":"RAG_MAX_FILES","description":"Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering.","format":"string","required":false,"secret":false},{"name":"CHUNK_MIN_LENGTH","description":"Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.","format":"string","required":false,"secret":false},{"name":"STORE_IMAGES","description":"Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false).","format":"string","required":false,"secret":false},{"name":"RAG_DEVICE","description":"Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error.","format":"string","required":false,"secret":false},{"name":"RAG_DTYPE","description":"Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data.","format":"string","required":false,"secret":false},{"name":"RAG_HYBRID_WEIGHT","description":"Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"npm","identifier":"mcp-local-rag","version":"0.18.5","transport":"stdio","environment":[{"name":"BASE_DIR","description":"Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.","format":"string","required":false,"secret":false},{"name":"BASE_DIRS","description":"JSON array of base directories (e.g. '[\"/a\",\"/b\"]'). Takes precedence over BASE_DIR.","format":"string","required":false,"secret":false},{"name":"DB_PATH","description":"Path to LanceDB database directory (defaults to ./lancedb/)","format":"string","required":false,"secret":false},{"name":"CACHE_DIR","description":"Directory where Transformers.js models are cached (defaults to ./models/)","format":"string","required":false,"secret":false},{"name":"HF_ENDPOINT","description":"Hugging Face model download endpoint. Set this to a mirror URL when direct downloads are blocked (defaults to https://huggingface.co).","format":"string","required":false,"secret":false},{"name":"MODEL_NAME","description":"Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)","format":"string","required":false,"secret":false},{"name":"MAX_FILE_SIZE","description":"Maximum file size in bytes (defaults to 104857600 / 100MB)","format":"string","required":false,"secret":false},{"name":"RAG_MAX_DISTANCE","description":"Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)","format":"string","required":false,"secret":false},{"name":"RAG_GROUPING","description":"Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter","format":"string","required":false,"secret":false},{"name":"RAG_MAX_FILES","description":"Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering.","format":"string","required":false,"secret":false},{"name":"CHUNK_MIN_LENGTH","description":"Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.","format":"string","required":false,"secret":false},{"name":"STORE_IMAGES","description":"Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false).","format":"string","required":false,"secret":false},{"name":"RAG_DEVICE","description":"Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error.","format":"string","required":false,"secret":false},{"name":"RAG_DTYPE","description":"Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data.","format":"string","required":false,"secret":false},{"name":"RAG_HYBRID_WEIGHT","description":"Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} |
| 2026-09-16 | Paketversionen (Rohangabe): 0.18.4 → 0.18.5 |
| 2026-09-16 | Umgebungsvariablen (Rohangabe): BASE_DIR, BASE_DIRS, DB_PATH, CACHE_DIR, MODEL_NAME, MAX_FILE_SIZE, RAG_MAX_DISTANCE, RAG_GROUPING, RAG_MAX_FILES, CHUNK_MIN_LENGTH, STORE_IMAGES, RAG_DEVICE, RAG_DTYPE, RAG_HYBRID_WEIGHT → BASE_DIR, BASE_DIRS, DB_PATH, CACHE_DIR, HF_ENDPOINT, MODEL_NAME, MAX_FILE_SIZE, RAG_MAX_DISTANCE, RAG_GROUPING, RAG_MAX_FILES, CHUNK_MIN_LENGTH, STORE_IMAGES, RAG_DEVICE, RAG_DTYPE, RAG_HYBRID_WEIGHT |
| 2026-09-08 | Deklarierte Version: 0.18.2 → 0.18.4 |
| 2026-09-08 | Im Register geändert am (Rohangabe): 2026-09-05 → 2026-09-07 |
| 2026-09-08 | Im Register eingetragen am (Rohangabe): 2026-09-05 → 2026-09-07 |
| 2026-09-08 | Verbindungswege (Quellstruktur): – → {"packages":[{"registryType":"npm","identifier":"mcp-local-rag","version":"0.18.4","transport":"stdio","environment":[{"name":"BASE_DIR","description":"Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.","format":"string","required":false,"secret":false},{"name":"BASE_DIRS","description":"JSON array of base directories (e.g. '[\"/a\",\"/b\"]'). Takes precedence over BASE_DIR.","format":"string","required":false,"secret":false},{"name":"DB_PATH","description":"Path to LanceDB database directory (defaults to ./lancedb/)","format":"string","required":false,"secret":false},{"name":"CACHE_DIR","description":"Directory where Transformers.js models are cached (defaults to ./models/)","format":"string","required":false,"secret":false},{"name":"MODEL_NAME","description":"Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)","format":"string","required":false,"secret":false},{"name":"MAX_FILE_SIZE","description":"Maximum file size in bytes (defaults to 104857600 / 100MB)","format":"string","required":false,"secret":false},{"name":"RAG_MAX_DISTANCE","description":"Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)","format":"string","required":false,"secret":false},{"name":"RAG_GROUPING","description":"Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter","format":"string","required":false,"secret":false},{"name":"RAG_MAX_FILES","description":"Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering.","format":"string","required":false,"secret":false},{"name":"CHUNK_MIN_LENGTH","description":"Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.","format":"string","required":false,"secret":false},{"name":"STORE_IMAGES","description":"Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false).","format":"string","required":false,"secret":false},{"name":"RAG_DEVICE","description":"Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error.","format":"string","required":false,"secret":false},{"name":"RAG_DTYPE","description":"Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data.","format":"string","required":false,"secret":false},{"name":"RAG_HYBRID_WEIGHT","description":"Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} |
| 2026-09-08 | Paketversionen (Rohangabe): 0.18.2 → 0.18.4 |
| 2026-09-06 | Deklarierte Version: 0.18.1 → 0.18.2 |
| 2026-09-06 | Im Register geändert am (Rohangabe): 2026-08-29 → 2026-09-05 |
| 2026-09-06 | Im Register eingetragen am (Rohangabe): 2026-08-29 → 2026-09-05 |
| 2026-09-06 | Paketversionen (Rohangabe): 0.18.1 → 0.18.2 |
| 2026-08-30 | Deklarierte Version: 0.18.0 → 0.18.1 |
| 2026-08-30 | Im Register geändert am (Rohangabe): 2026-08-23 → 2026-08-29 |
| 2026-08-30 | Im Register eingetragen am (Rohangabe): 2026-08-23 → 2026-08-29 |
| 2026-08-30 | Paketversionen (Rohangabe): 0.18.0 → 0.18.1 |
| 2026-08-26 | Beschreibung (Rohangabe): – → Easy-to-setup local RAG server with minimal configuration |
| 2026-08-24 | Deklarierte Version: 0.17.4 → 0.18.0 |
| 2026-08-24 | Im Register geändert am (Rohangabe): 2026-08-12 → 2026-08-23 |
| 2026-08-24 | Im Register eingetragen am (Rohangabe): 2026-08-12 → 2026-08-23 |
| 2026-08-24 | Beschreibungen der Umgebungsvariablen (Rohangabe): BASE_DIR=Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set. · BASE_DIRS=JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR. · CACHE_DIR=Directory where Transformers.js models are cached (defaults to ./models/) · CHUNK_MIN_LENGTH=Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion. · DB_PATH=Path to LanceDB database directory (defaults to ./lancedb/) · MAX_FILE_SIZE=Maximum file size in bytes (defaults to 104857600 / 100MB) · MODEL_NAME=Embedding model name (defaults to Xenova/all-MiniLM-L6-v2) · RAG_DEVICE=Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error. · RAG_DTYPE=Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data. · RAG_GROUPING=Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter · RAG_HYBRID_WEIGHT=Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score. · RAG_MAX_DISTANCE=Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only) · RAG_MAX_FILES=Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering. → BASE_DIR=Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set. · BASE_DIRS=JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR. · CACHE_DIR=Directory where Transformers.js models are cached (defaults to ./models/) · CHUNK_MIN_LENGTH=Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion. · DB_PATH=Path to LanceDB database directory (defaults to ./lancedb/) · MAX_FILE_SIZE=Maximum file size in bytes (defaults to 104857600 / 100MB) · MODEL_NAME=Embedding model name (defaults to Xenova/all-MiniLM-L6-v2) · RAG_DEVICE=Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error. · RAG_DTYPE=Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data. · RAG_GROUPING=Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter · RAG_HYBRID_WEIGHT=Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score. · RAG_MAX_DISTANCE=Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only) · RAG_MAX_FILES=Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering. · STORE_IMAGES=Store supported PDF and DOCX images during ingestion and return them with matched chunks (defaults to false). |
| 2026-08-24 | Paketversionen (Rohangabe): 0.17.4 → 0.18.0 |
| 2026-08-24 | Umgebungsvariablen (Rohangabe): BASE_DIR, BASE_DIRS, DB_PATH, CACHE_DIR, MODEL_NAME, MAX_FILE_SIZE, RAG_MAX_DISTANCE, RAG_GROUPING, RAG_MAX_FILES, CHUNK_MIN_LENGTH, RAG_DEVICE, RAG_DTYPE, RAG_HYBRID_WEIGHT → BASE_DIR, BASE_DIRS, DB_PATH, CACHE_DIR, MODEL_NAME, MAX_FILE_SIZE, RAG_MAX_DISTANCE, RAG_GROUPING, RAG_MAX_FILES, CHUNK_MIN_LENGTH, STORE_IMAGES, RAG_DEVICE, RAG_DTYPE, RAG_HYBRID_WEIGHT |
| 2026-08-16 | Im Register geändert am (Rohangabe): – → 2026-08-12 |
| 2026-08-16 | Im Register eingetragen am (Rohangabe): – → 2026-08-12 |
| 2026-08-16 | Statusmeldung des Registers (Rohangabe): – → – |
| 2026-08-16 | Schemafassung des Rohsatzes (Rohangabe): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json |
| 2026-08-16 | Symbolformate (Rohangabe): – → – |
| 2026-08-16 | Beschreibungen der Umgebungsvariablen (Rohangabe): – → BASE_DIR=Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set. · BASE_DIRS=JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR. · CACHE_DIR=Directory where Transformers.js models are cached (defaults to ./models/) · CHUNK_MIN_LENGTH=Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion. · DB_PATH=Path to LanceDB database directory (defaults to ./lancedb/) · MAX_FILE_SIZE=Maximum file size in bytes (defaults to 104857600 / 100MB) · MODEL_NAME=Embedding model name (defaults to Xenova/all-MiniLM-L6-v2) · RAG_DEVICE=Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error. · RAG_DTYPE=Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data. · RAG_GROUPING=Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter · RAG_HYBRID_WEIGHT=Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score. · RAG_MAX_DISTANCE=Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only) · RAG_MAX_FILES=Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering. |
| 2026-08-16 | Formate der Umgebungsvariablen (Rohangabe): – → string |
| 2026-08-16 | Bereitstellungsform (Rohangabe): – → paket |
| 2026-08-16 | Remote-Hosts (Rohangabe): – → – |
| 2026-08-16 | Remote-Adressen (Rohangabe): – → – |
| 2026-08-16 | Laufzeithinweise (Rohangabe): – → – |
| 2026-08-16 | Paketversionen (Rohangabe): – → 0.17.4 |
| 2026-08-16 | Paketbezeichner (Rohangabe): – → mcp-local-rag |
| 2026-08-16 | Repository-Unterordner (Rohangabe): – → – |
| 2026-08-16 | Repository-Plattform (Rohangabe): – → github |
| 2026-08-16 | Pfad-Umgebungsvariablen (Rohangabe): – → – |
| 2026-08-16 | Geheime Pflichtkopfzeilen (Rohangabe): – → – |
| 2026-08-13 | Deklarierte Version: 0.17.3 → 0.17.4 |
| 2026-08-06 | Deklarierte Version: – → 0.17.3 |
| 2026-08-06 | Repository-Adresse geführt: – → ja |
| 2026-08-06 | Pfadargument vorhanden: – → nein |
| 2026-08-06 | Ausführungsort: – → lokal |
| 2026-08-06 | Pflicht-Geheimnisse deklariert: – → nein |
| 2026-08-06 | Paketquellen (Rohangabe): – → npm |
| 2026-08-06 | Repository (Rohangabe): – → https://github.com/shinpr/mcp-local-rag |
| 2026-08-06 | Pfadargumente (Rohangabe): – → – |
Diese Ansicht blättert vorwärts und nennt keine Gesamtzahl: Einzelne Zeilen entfallen erst bei der Ausgabe, wenn ihr Beleg fehlt. Eine gezählte Zahl wäre größer als die gezeigte.
tracevero · https://tracevero.de/mcp/io-github-shinpr-mcp-local-rag/aenderungen