mcp-jina-ai
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| JINA_API_KEY | Yes | Your Jina AI API key, required to use the Jina AI MCP server. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| read_webpageC | Extract content from a webpage in a format optimized for LLMs |
| search_webC | Search the web using Jina AI's search API |
| fact_checkC | Fact-check a statement using Jina AI's grounding engine |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct operation: fact-checking a statement, reading a webpage, and searching the web. No overlap in purpose.
All tool names follow a consistent verb_noun pattern using snake_case: fact_check, read_webpage, search_web.
With three tools, the set is well-scoped for a web and grounding server, covering the core tasks without extraneous tools.
The tool surface covers the essential workflow: search, retrieve, and verify. No obvious gaps given the server's apparent purpose.