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io.github.infino-ai/mcp-server · Registry status: active

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2026-10-02Declared version: 0.15.0 → 0.16.0
2026-10-02Last changed in the registry (raw): 2026-09-22 → 2026-10-01
2026-10-02First listed in the registry (raw): 2026-09-22 → 2026-10-01
2026-10-02Connection paths (source structure): {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.15.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.16.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]}
2026-10-02Package versions (raw): 0.15.0 → 0.16.0
2026-09-23Declared version: 0.14.0 → 0.15.0
2026-09-23Last changed in the registry (raw): 2026-09-08 → 2026-09-22
2026-09-23First listed in the registry (raw): 2026-09-08 → 2026-09-22
2026-09-23Connection paths (source structure): {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.14.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.15.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-23Package versions (raw): 0.14.0 → 0.15.0
2026-09-09Declared version: 0.13.0 → 0.14.0
2026-09-09Description (raw): Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents. → Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud.
2026-09-09Last changed in the registry (raw): 2026-09-04 → 2026-09-08
2026-09-09First listed in the registry (raw): 2026-09-04 → 2026-09-08
2026-09-09Connection paths (source structure): {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.13.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]} → {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.14.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-09Package versions (raw): 0.13.0 → 0.14.0
2026-09-08Connection paths (source structure): – → {"packages":[{"registryType":"npm","identifier":"@infino-ai/mcp-server","version":"0.13.0","transport":"stdio","environment":[{"name":"INFINO_MCP_URI","description":"Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created.","format":"string","required":false,"secret":false},{"name":"INFINO_API_KEY","description":"API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_PROVIDER","description":"Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_BASE_URL","description":"Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_API_KEY","description":"API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_EMBED_MODEL","description":"Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors.","format":"string","required":false,"secret":false},{"name":"INFINO_MCP_VALIDATE","description":"Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.","format":"string","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-05Declared version: 0.12.0 → 0.13.0
2026-09-05Last changed in the registry (raw): 2026-08-25 → 2026-09-04
2026-09-05First listed in the registry (raw): 2026-08-25 → 2026-09-04
2026-09-05Environment variable descriptions (raw): INFINO_API_KEY=API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections. · INFINO_MCP_EMBED_API_KEY=API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI. · INFINO_MCP_EMBED_BASE_URL=Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings. · INFINO_MCP_EMBED_MODEL=Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors. · INFINO_MCP_EMBED_PROVIDER=Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set. · INFINO_MCP_ENABLE_WRITES=Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset. · INFINO_MCP_URI=Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created. · INFINO_MCP_VALIDATE=Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search. → INFINO_API_KEY=API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections. · INFINO_MCP_EMBED_API_KEY=API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI. · INFINO_MCP_EMBED_BASE_URL=Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings. · INFINO_MCP_EMBED_MODEL=Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors. · INFINO_MCP_EMBED_PROVIDER=Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set. · INFINO_MCP_URI=Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created. · INFINO_MCP_VALIDATE=Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.
2026-09-05Package versions (raw): 0.12.0 → 0.13.0
2026-09-05Environment variables (raw): INFINO_MCP_URI, INFINO_API_KEY, INFINO_MCP_ENABLE_WRITES, INFINO_MCP_EMBED_PROVIDER, INFINO_MCP_EMBED_BASE_URL, INFINO_MCP_EMBED_API_KEY, INFINO_MCP_EMBED_MODEL, INFINO_MCP_VALIDATE → INFINO_MCP_URI, INFINO_API_KEY, INFINO_MCP_EMBED_PROVIDER, INFINO_MCP_EMBED_BASE_URL, INFINO_MCP_EMBED_API_KEY, INFINO_MCP_EMBED_MODEL, INFINO_MCP_VALIDATE
2026-08-26Field of use, derived from the vendor description: – → Databases
2026-08-26Description (raw): – → Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.
2026-08-26Declared version: 0.10.2 → 0.12.0
2026-08-26Last changed in the registry (raw): 2026-08-24 → 2026-08-25
2026-08-26First listed in the registry (raw): 2026-08-24 → 2026-08-25
2026-08-26Package versions (raw): 0.10.2 → 0.12.0
2026-08-25Declared version: 0.10.0 → 0.10.2
2026-08-25Last changed in the registry (raw): 2026-08-19 → 2026-08-24
2026-08-25First listed in the registry (raw): 2026-08-19 → 2026-08-24
2026-08-25Package versions (raw): 0.10.0 → 0.10.2
2026-08-20Declared version: 0.9.0 → 0.10.0
2026-08-20Last changed in the registry (raw): 2026-08-13 → 2026-08-19
2026-08-20First listed in the registry (raw): 2026-08-13 → 2026-08-19
2026-08-20Package versions (raw): 0.9.0 → 0.10.0
2026-08-16Last changed in the registry (raw): – → 2026-08-13
2026-08-16First listed in the registry (raw): – → 2026-08-13
2026-08-16Registry status message (raw): – → –
2026-08-16Schema version of the raw record (raw): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
2026-08-16Icon formats (raw): – → –
2026-08-16Environment variable descriptions (raw): – → INFINO_API_KEY=API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections. · INFINO_MCP_EMBED_API_KEY=API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI. · INFINO_MCP_EMBED_BASE_URL=Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings. · INFINO_MCP_EMBED_MODEL=Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors. · INFINO_MCP_EMBED_PROVIDER=Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set. · INFINO_MCP_ENABLE_WRITES=Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset. · INFINO_MCP_URI=Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created. · INFINO_MCP_VALIDATE=Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search.
2026-08-16Environment variable formats (raw): – → string
2026-08-16Delivery form (raw): – → package
2026-08-16Remote hosts (raw): – → –
2026-08-16Remote URLs (raw): – → –
2026-08-16Runtime hints (raw): – → –
2026-08-16Package versions (raw): – → 0.9.0
2026-08-16Package identifiers (raw): – → @infino-ai/mcp-server

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-infino-ai-mcp-server/aenderungen