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Jina AI MCP Integration for LangChain
Connect Jina AI to LangChain through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Jina AI to LangChain
Bridge LangChain agents to local KosmoKrator integration tools through MCP or headless CLI calls.
Use the MCP gateway when the agent should discover tools, or wrap kosmo integrations:call for fixed chains. The gateway is local, scoped to this integration, and starts with
--write=deny so LangChain can inspect read-capable tools without receiving write access by default.
Jina AI MCP Config for LangChain
Keep the gateway scoped to the integration and operation class needed by the chain.
{
"mcpServers": {
"kosmokrator-jinaai": {
"type": "stdio",
"command": "kosmo",
"args": [
"mcp:serve",
"--integration=jinaai",
"--write=deny"
]
}
}
} Run the Gateway Manually
kosmokrator mcp:serve --integration=jinaai --write=deny Why Use KosmoKrator Here
Expose only Jina AI instead of a broad multi-service tool list.
Reuse credentials already configured for the KosmoKrator CLI and Lua runtime.
Start read-only, then opt into ask or allow for trusted workspaces.
Jina AI Tools Visible to LangChain
LangChain sees stable MCP tool names generated from the Jina AI integration catalog.
| MCP tool | Source function | Type | Description |
|---|---|---|---|
integration__jinaai__jinaai_search | jinaai.jinaai_search | 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. |
integration__jinaai__jinaai_read | jinaai.jinaai_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. |
integration__jinaai__jinaai_ground | jinaai.jinaai_ground | 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. |
integration__jinaai__jinaai_embeddings | jinaai.jinaai_embeddings | 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). |
integration__jinaai__jinaai_rerank | jinaai.jinaai_rerank | 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. |