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History of mnemo-mcp in namespace io.github

io.github.n24q02m/mnemo-mcp · Registry status: active

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Changes
2026-10-05Declared version: 2.18.12 → 2.19.0
2026-10-05Last changed in the registry (raw): 2026-09-29 → 2026-10-05
2026-10-05First listed in the registry (raw): 2026-09-29 → 2026-10-05
2026-10-05Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.12","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.19.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-10-05Package versions (raw): 2.18.12 → 2.19.0
2026-09-30Declared version: 2.18.11 → 2.18.12
2026-09-30Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.11","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.12","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-30Package versions (raw): 2.18.11 → 2.18.12
2026-09-29Declared version: 2.18.9 → 2.18.11
2026-09-29Last changed in the registry (raw): 2026-09-27 → 2026-09-29
2026-09-29First listed in the registry (raw): 2026-09-27 → 2026-09-29
2026-09-29Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.9","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.11","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-29Package versions (raw): 2.18.9 → 2.18.11
2026-09-28Declared version: 2.18.0 → 2.18.9
2026-09-28Last changed in the registry (raw): 2026-09-26 → 2026-09-27
2026-09-28First listed in the registry (raw): 2026-09-26 → 2026-09-27
2026-09-28Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.9","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-28Package versions (raw): 2.18.0 → 2.18.9
2026-09-27Declared version: 2.16.1 → 2.18.0
2026-09-27Last changed in the registry (raw): 2026-09-25 → 2026-09-26
2026-09-27First listed in the registry (raw): 2026-09-25 → 2026-09-26
2026-09-27Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.16.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.18.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-27Package versions (raw): 2.16.1 → 2.18.0
2026-09-26Declared version: 2.16.0 → 2.16.1
2026-09-26Last changed in the registry (raw): 2026-09-22 → 2026-09-25
2026-09-26First listed in the registry (raw): 2026-09-22 → 2026-09-25
2026-09-26Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.16.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.16.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-26Package versions (raw): 2.16.0 → 2.16.1
2026-09-23Declared version: 2.15.16 → 2.16.0
2026-09-23Last changed in the registry (raw): 2026-09-21 → 2026-09-22
2026-09-23First listed in the registry (raw): 2026-09-21 → 2026-09-22
2026-09-23Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.16","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.16.0","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-23Package versions (raw): 2.15.16 → 2.16.0
2026-09-22Declared version: 2.15.13 → 2.15.16
2026-09-22Last changed in the registry (raw): 2026-09-17 → 2026-09-21
2026-09-22First listed in the registry (raw): 2026-09-17 → 2026-09-21
2026-09-22Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.13","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.16","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-22Package versions (raw): 2.15.13 → 2.15.16
2026-09-18Declared version: 2.15.11 → 2.15.13
2026-09-18Last changed in the registry (raw): 2026-09-16 → 2026-09-17
2026-09-18First listed in the registry (raw): 2026-09-16 → 2026-09-17
2026-09-18Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.11","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.13","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-18Package versions (raw): 2.15.11 → 2.15.13
2026-09-17Declared version: 2.15.7 → 2.15.11
2026-09-17Last changed in the registry (raw): 2026-09-15 → 2026-09-16
2026-09-17First listed in the registry (raw): 2026-09-15 → 2026-09-16
2026-09-17Connection paths (source structure): {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.7","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.15.11","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"API_KEYS","description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","required":false,"secret":true}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-17Package versions (raw): 2.15.7 → 2.15.11
2026-09-16Declared version: 2.15.6 → 2.15.7
2026-09-16Last changed in the registry (raw): 2026-09-14 → 2026-09-15

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tracevero · https://tracevero.com/mcp/io-github-n24q02m-mnemo-mcp/aenderungen