Can I use Jina AI as a CLI?

Yes. KosmoKrator exposes a Jina AI CLI through kosmo integrations:call and the provider shortcut command. Commands can return JSON for scripts, CI, and coding agents.

Can I expose Jina AI through MCP?

Yes. The KosmoKrator MCP gateway can expose selected Jina AI tools to clients such as Claude Code, Cursor, Codex, and other MCP-compatible tools.

Where are Jina AI credentials stored?

Jina AI credentials are configured in KosmoKrator's local integration settings and reused by CLI, Lua, and MCP gateway surfaces.

Can I deny write access for Jina AI MCP tools?

Yes. Start the gateway with --write=deny for read-only clients, or use ask/allow only for trusted workspaces.

Jina AI CLI for AI Agents

Use the Jina AI CLI from KosmoKrator to call Jina AI tools headlessly, return JSON, inspect schemas, and automate workflows from coding agents, scripts, and CI.

5 functions 5 read 0 write API key auth

Submit Jina AI feedback View package source

Jina AI CLI Setup

Jina AI can be configured headlessly with `kosmokrator integrations:configure jinaai`.

# Install KosmoKrator first if it is not available on PATH.
curl -fsSL https://raw.githubusercontent.com/OpenCompanyApp/kosmokrator/main/install.sh | bash

# Configure and verify this integration.
kosmokrator integrations:configure jinaai --set api_key="$JINAAI_API_KEY" --enable --read allow --write ask --json
kosmokrator integrations:doctor jinaai --json
kosmokrator integrations:status --json

Credentials

Authentication type: API key api_key. Configure credentials once, then use the same stored profile from scripts, coding CLIs, Lua code mode, and the MCP gateway.

Key	Env var	Type	Required	Label
`api_key`	`JINAAI_API_KEY`	Secret `secret`	yes	API Key
`url`	`JINAAI_URL`	URL `url`	no	API Base URL

Call Jina AI Headlessly

Use the generic call form when another coding CLI or script needs a stable universal interface.

kosmo integrations:call jinaai.jinaai_search '{
  "q": "example_q"
}' --json

Use the provider shortcut form for shorter human-facing commands.

kosmo integrations:jinaai jinaai_search '{
  "q": "example_q"
}' --json

Agent Discovery Commands

These commands return structured output for coding agents that need to inspect capabilities before choosing a function.

kosmo integrations:docs jinaai --json
kosmo integrations:docs jinaai.jinaai_search --json
kosmo integrations:schema jinaai.jinaai_search --json
kosmo integrations:search "Jina AI" --json
kosmo integrations:list --json

All CLI Functions

Every function below can be called headlessly. The generic form is stable across all integrations; the provider shortcut is shorter but specific to Jina AI.

`jinaai.jinaai_search`

Read read

Search the web using Jina AI. Returns search results with titles, URLs, descriptions, and extracted content. Useful for finding up-to-date information on any topic.

Parameters: q

Generic CLI call

kosmo integrations:call jinaai.jinaai_search '{"q":"example_q"}' --json

Provider shortcut

kosmo integrations:jinaai jinaai_search '{"q":"example_q"}' --json

`jinaai.jinaai_read`

Read read

Read and extract clean content from a URL using Jina AI Reader. Returns the main text content of a web page, stripping away navigation, ads, and other clutter. Useful for reading articles, documentation, or any web page.

Parameters: url

Generic CLI call

kosmo integrations:call jinaai.jinaai_read '{"url":"example_url"}' --json

Provider shortcut

kosmo integrations:jinaai jinaai_read '{"url":"example_url"}' --json

`jinaai.jinaai_ground`

Read read

Ground a statement against provided context using Jina AI. Verifies whether a claim or statement is supported by the given reference text. Returns grounding results indicating which parts of the statement are supported or contradicted.

Parameters: statement, context

Generic CLI call

kosmo integrations:call jinaai.jinaai_ground '{"statement":"example_statement","context":"example_context"}' --json

Provider shortcut

kosmo integrations:jinaai jinaai_ground '{"statement":"example_statement","context":"example_context"}' --json

`jinaai.jinaai_embeddings`

Read read

Generate text embeddings using Jina AI. Converts text into dense vector representations useful for semantic search, similarity comparison, clustering, and retrieval-augmented generation (RAG).

Parameters: input, model

Generic CLI call

kosmo integrations:call jinaai.jinaai_embeddings '{"input":"example_input","model":"example_model"}' --json

Provider shortcut

kosmo integrations:jinaai jinaai_embeddings '{"input":"example_input","model":"example_model"}' --json

`jinaai.jinaai_rerank`

Read read

Rerank documents by relevance to a query using Jina AI. Takes a query and a list of text documents, then returns them sorted by relevance with scores. Useful for improving search results or filtering the most relevant content.

Parameters: query, documents, model, top_n

Generic CLI call

kosmo integrations:call jinaai.jinaai_rerank '{"query":"example_query","documents":"example_documents","model":"example_model","top_n":1}' --json

Provider shortcut

kosmo integrations:jinaai jinaai_rerank '{"query":"example_query","documents":"example_documents","model":"example_model","top_n":1}' --json

Function Schemas

Use these parameter tables when building CLI payloads without calling integrations:schema first.

`jinaai.jinaai_search`

Search the web using Jina AI. Returns search results with titles, URLs, descriptions, and extracted content. Useful for finding up-to-date information on any topic.

Operation: Read read
Schema command: kosmo integrations:schema jinaai.jinaai_search --json

Parameter	Type	Required	Description
`q`	string	yes	The search query string.

`jinaai.jinaai_read`

Operation: Read read
Schema command: kosmo integrations:schema jinaai.jinaai_read --json

Parameter	Type	Required	Description
`url`	string	yes	The URL to read and extract content from.

`jinaai.jinaai_ground`

Operation: Read read
Schema command: kosmo integrations:schema jinaai.jinaai_ground --json

Parameter	Type	Required	Description
`statement`	string	yes	The statement or claim to verify.
`context`	string	yes	The reference context text to ground the statement against.

`jinaai.jinaai_embeddings`

Generate text embeddings using Jina AI. Converts text into dense vector representations useful for semantic search, similarity comparison, clustering, and retrieval-augmented generation (RAG).

Operation: Read read
Schema command: kosmo integrations:schema jinaai.jinaai_embeddings --json

Parameter	Type	Required	Description
`input`	array	yes	An array of strings to generate embeddings for. Each string is embedded independently.
`model`	string	no	The embedding model to use (e.g., "jina-embeddings-v3"). Defaults to the Jina AI default model.

`jinaai.jinaai_rerank`

Operation: Read read
Schema command: kosmo integrations:schema jinaai.jinaai_rerank --json

Parameter	Type	Required	Description
`query`	string	yes	The query to rank documents against.
`documents`	array	yes	An array of document strings to rank by relevance to the query.
`model`	string	no	The reranking model to use (e.g., "jina-reranker-v2-base-multilingual"). Defaults to the Jina AI default model.
`top_n`	integer	no	Maximum number of top results to return. Defaults to all documents.

Permissions

Headless calls still follow the integration read/write permission policy. Configure read/write defaults with integrations:configure. Add --force only for trusted automation that should bypass that policy.