History of mcp-local-rag in namespace io.github
io.github.shinpr/mcp-local-rag · Registry status: active
No name of its own reaches this register for this entry. The heading therefore carries the trailing segment of the identifier; the identifier itself is listed below as a coordinate.
Every published change to this entry, most recent first.
| 2026-09-16 | Environment variable descriptions (raw): 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 | Connection paths (source structure): {"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 | Package versions (raw): 0.18.4 → 0.18.5 |
| 2026-09-16 | Environment variables (raw): 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 | Declared version: 0.18.2 → 0.18.4 |
| 2026-09-08 | Last changed in the registry (raw): 2026-09-05 → 2026-09-07 |
| 2026-09-08 | First listed in the registry (raw): 2026-09-05 → 2026-09-07 |
| 2026-09-08 | Connection paths (source structure): – → {"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 | Package versions (raw): 0.18.2 → 0.18.4 |
| 2026-09-06 | Declared version: 0.18.1 → 0.18.2 |
| 2026-09-06 | Last changed in the registry (raw): 2026-08-29 → 2026-09-05 |
| 2026-09-06 | First listed in the registry (raw): 2026-08-29 → 2026-09-05 |
| 2026-09-06 | Package versions (raw): 0.18.1 → 0.18.2 |
| 2026-08-30 | Declared version: 0.18.0 → 0.18.1 |
| 2026-08-30 | Last changed in the registry (raw): 2026-08-23 → 2026-08-29 |
| 2026-08-30 | First listed in the registry (raw): 2026-08-23 → 2026-08-29 |
| 2026-08-30 | Package versions (raw): 0.18.0 → 0.18.1 |
| 2026-08-26 | Description (raw): – → Easy-to-setup local RAG server with minimal configuration |
| 2026-08-24 | Declared version: 0.17.4 → 0.18.0 |
| 2026-08-24 | Last changed in the registry (raw): 2026-08-12 → 2026-08-23 |
| 2026-08-24 | First listed in the registry (raw): 2026-08-12 → 2026-08-23 |
| 2026-08-24 | Environment variable descriptions (raw): 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 | Package versions (raw): 0.17.4 → 0.18.0 |
| 2026-08-24 | Environment variables (raw): 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 | Last changed in the registry (raw): – → 2026-08-12 |
| 2026-08-16 | First listed in the registry (raw): – → 2026-08-12 |
| 2026-08-16 | Registry status message (raw): – → – |
| 2026-08-16 | Schema version of the raw record (raw): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json |
| 2026-08-16 | Icon formats (raw): – → – |
| 2026-08-16 | Environment variable descriptions (raw): – → 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 | Environment variable formats (raw): – → string |
| 2026-08-16 | Delivery form (raw): – → package |
| 2026-08-16 | Remote hosts (raw): – → – |
| 2026-08-16 | Remote URLs (raw): – → – |
| 2026-08-16 | Runtime hints (raw): – → – |
| 2026-08-16 | Package versions (raw): – → 0.17.4 |
| 2026-08-16 | Package identifiers (raw): – → mcp-local-rag |
| 2026-08-16 | Repository subfolder (raw): – → – |
| 2026-08-16 | Repository platform (raw): – → github |
| 2026-08-16 | Path environment variables (raw): – → – |
| 2026-08-16 | Required secret headers (raw): – → – |
| 2026-08-13 | Declared version: 0.17.3 → 0.17.4 |
| 2026-08-06 | Declared version: – → 0.17.3 |
| 2026-08-06 | Repository URL listed: – → yes |
| 2026-08-06 | Path argument present: – → no |
| 2026-08-06 | Execution location: – → local |
| 2026-08-06 | Required secrets declared: – → no |
| 2026-08-06 | Package registries (raw): – → npm |
| 2026-08-06 | Repository (raw): – → https://github.com/shinpr/mcp-local-rag |
| 2026-08-06 | Path arguments (raw): – → – |
This view pages forward and states no total: individual rows are dropped only at output time when their evidence is missing. A counted total would be larger than what is shown.
tracevero · https://tracevero.com/mcp/io-github-shinpr-mcp-local-rag/aenderungen