AI21 Labs MCP. Orchestrate NLP tasks, from summarization to grammar correction.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
AI21 Labs MCP Server gives your AI client direct access to state-of-the-art NLP functions. Use it to generate structured chat completions, summarize documents, correct grammar, or extract context from uploaded files.
It lets you programmatically manage complex language workflows without switching between different writing tools.
What your AI agents can do
Ai21 chat completion
Generates conversational text completions using the Jamba model.
Ai21 contextual answers
Answers questions using a provided context document.
Ai21 delete file
Removes a file from the connected workspace.
The agent uses Jamba models to create responses and structured text based on a natural language prompt.
The agent reads provided context files and extracts answers, ensuring the response is based strictly on the source material.
The agent fixes grammatical errors and suggests stylistic changes to improve clarity and fluency.
The agent summarizes long passages or rewrites text to change its style or focus.
The agent can list, retrieve details for, or delete files within the connected AI21 workspace.
Ask AI about this MCP
Supported MCP Clients
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AI21 Labs MCP Server: 10 Tools for Text Processing
Use these tools to programmatically generate, summarize, correct, and refine text outputs from a wide array of language models.
019dd0b4ai21 chat completion
Generates conversational text completions using the Jamba model.
019dd0b4ai21 contextual answers
Answers questions using a provided context document.
019dd0b4ai21 delete file
Removes a file from the connected workspace.
019dd0b4ai21 get file
Retrieves the details and metadata for a specific file.
019dd0b4ai21 grammar correction
Corrects grammatical errors in provided text.
019dd0b4ai21 list files
Lists all files currently stored in the workspace.
019dd0b4ai21 paraphrase text
Rewrites provided text to change its wording or style.
019dd0b4ai21 segment text
Divides a large block of text into smaller sections based on topic.
019dd0b4ai21 summarize text
Creates a condensed summary of a given body of text.
019dd0b4ai21 text improvements
Suggests stylistic and structural improvements to enhance the overall quality of the text.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AI21 Labs, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI client gets direct access to state-of-the-art NLP functions through the AI21 Labs MCP Server. You'll use it to generate structured chat completions, summarize docs, fix grammar, or pull context from uploaded files. It lets you manage complicated language workflows without ever switching tools.
Generate Conversational Text
ai21_chat_completion uses the Jamba model to generate structured chat completions and conversational text based on your prompt. ai21_paraphrase_text rewrites existing text, changing its wording or style. ai21_text_improvements suggests structural and stylistic fixes to boost the text's quality. ai21_segment_text breaks up a big chunk of text into smaller sections, grouping them by topic.
Process Documents and Answer Questions
ai21_summarize_text creates a condensed summary of any text you feed it. ai21_contextual_answers reads provided documents and pulls answers, making sure the response only uses info from the source material. ai21_grammar_correction fixes grammatical errors in the text you give it.
Manage Your Files
ai21_list_files shows you all the files currently sitting in the workspace. ai21_get_file lets you check the details and metadata for a specific file. ai21_delete_file removes a file from the connected workspace.
How AI21 Labs MCP Works
- 1 1. Subscribe to the AI21 Labs server and retrieve your API Key.
- 2 2. Tell your AI agent what you need done (e.g., 'Summarize this document for an executive summary').
- 3 3. The agent selects and executes the necessary tool(s) (like
ai21_summarize_text) and returns the processed output.
The bottom line is, you speak naturally to your agent, and it handles the complex, multi-step API calls in the background.
Who Is AI21 Labs MCP For?
Content writers, technical document authors, and research analysts who spend too much time copy-pasting between writing tools. You're the person who needs to turn a mountain of raw data into a polished, structured narrative without ever leaving your primary development environment.
Uses ai21_grammar_correction and ai21_text_improvements to polish technical drafts, ensuring consistency across documentation sets.
Uploads large data sets and uses ai21_contextual_answers to quickly pull out specific data points, citing the source document.
Integrates core NLP functions—like ai21_summarize_text or ai21_chat_completion—into custom agent workflows without managing API key rotation or rate limits.
What Changes When You Connect
- Automate text refinement: Don't manually switch between grammar checkers and style guides. The server uses
ai21_grammar_correctionandai21_text_improvementsto polish drafts in one go. - Build knowledge retrieval systems: Stop guessing if the answer is in the document. Use
ai21_contextual_answersto get precise answers based only on your uploaded files. - Manage document flow: Need to know what files you have? Use
ai21_list_filesandai21_get_fileto programmatically audit your workspace before starting a workflow. - Orchestrate chat responses: Generate conversational content or structured data using
ai21_chat_completion, letting your agent handle the complex model calls. - Handle large documents: Instead of reading a massive PDF chunk by chunk,
ai21_summarize_textprovides an immediate, high-fidelity summary, saving hours of manual review. - Segment complex data: If a document covers multiple topics,
ai21_segment_textbreaks it down by topic, giving you discrete chunks to analyze without losing context.
Real-World Use Cases
Drafting a White Paper from Research Notes
A technical writer collects a dozen research notes. Instead of spending hours manually paraphrasing and correcting them, they ask their agent to run ai21_paraphrase_text followed by ai21_grammar_correction. The agent sends back a clean, fluent draft ready for review.
Creating an Internal Knowledge Bot
The support team uploads all internal manuals. They then use ai21_contextual_answers to build a bot that only answers questions using the manuals, preventing the agent from hallucinating or pulling in outdated info.
Processing Meeting Transcripts
A project manager uploads a two-hour meeting transcript. They ask the agent to first run ai21_summarize_text to get the overview, and then use ai21_segment_text to pull out a list of action items and owners.
Maintaining a Brand Voice Across Languages
A global marketing team needs to update copy for five different markets. They use ai21_text_improvements to ensure the tone remains consistent, running the same stylistic check on all translated versions.
The Tradeoffs
Chaining multiple API calls manually
Manually calling the summarize endpoint, then copying the result into the paraphrase endpoint, then pasting that into the grammar correction endpoint. This is slow, error-prone, and loses formatting.
→
Let your AI agent handle the chain. Prompt the agent with the entire task ('Summarize and polish this text'). The agent will execute ai21_summarize_text, pipe the result into ai21_paraphrase_text, and finally run ai21_text_improvements—all in one call.
Treating tools as isolated functions
Trying to use ai21_paraphrase_text without specifying the target audience, resulting in overly flowery or overly academic text.
→ Always frame the request in the prompt. Tell the agent: 'Paraphrase this text for a C-suite audience.' This guides the tool's output and keeps the tone correct.
Ignoring document context
Asking the agent a factual question about a document, but forgetting to upload the document first. The agent responds with generic, unhelpful information.
→
Always make the context explicit. First, use ai21_list_files to verify the document is uploaded, then ask the agent to use ai21_contextual_answers.
When It Fits, When It Doesn't
Use this server if your workflow requires sequential, multi-step text manipulation (e.g., summarize, then rephrase, then check grammar). It's built for complex, integrated pipelines. Don't use it if you only need a single, simple chat response—a standard API call will suffice. However, if your simple chat response must be based on proprietary documents, this server is necessary because it combines ai21_contextual_answers with the chat tools. If your primary need is just basic text generation, you're better off using a general-purpose LLM API that doesn't require file management.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AI21 Labs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
The painful process of refining and summarizing content manually.
Most people today have to copy a chunk of text from one tool, paste it into a second tool for grammar checking, and then copy that result into a third tool to adjust the tone. This back-and-forth process is a nightmare of copy-pasting, lost formatting, and context decay.
With the AI21 Labs MCP Server, you just tell your agent what you want. It handles the entire pipeline—it runs `ai21_summarize_text` to condense the material, then pipes the result through `ai21_text_improvements` to perfect the tone. You get the final output, clean and ready to use.
ai21_grammar_correction: Fix grammar and style in one shot.
Before, you had to use a separate tool just to catch misspelled words or misplaced commas. You'd run that tool, copy the fixed text, and then realize the tone was still wrong, requiring a second, separate step.
Now, the agent calls `ai21_grammar_correction` and then follows up with `ai21_text_improvements`—all based on the original text. It's a single, continuous linguistic pass. The difference is that you don't lose the context or the flow in between steps.
Common Questions About AI21 Labs MCP
How does the ai21_summarize_text tool work? +
The ai21_summarize_text tool takes a large body of text and returns a condensed summary. This is useful for executive reports where you need the key takeaways without reading the full document.
Can I use ai21_contextual_answers for documents I haven't uploaded? +
No, you must upload the source material first. The ai21_contextual_answers tool requires the context to be present in the AI21 workspace for it to function and cite accurate sources.
What's the difference between ai21_paraphrase_text and ai21_text_improvements? +
Paraphrasing (ai21_paraphrase_text) changes the wording of the text, keeping the meaning the same. Improvements (ai21_text_improvements) suggest changes to make the text better overall—its structure, flow, and tone.
How do I manage files with the ai21_delete_file tool? +
You use ai21_delete_file when you need to remove a file from the workspace. The agent needs the file ID or name to execute the deletion.
What do I need to know about using the `ai21_chat_completion` tool? +
You need an active API key from the AI21 Studio dashboard. This tool uses the Jamba models to generate conversational responses. It's best for structured, back-and-forth dialogue, not just single prompts.
Can `ai21_list_files` show me file names and sizes? +
Yes, ai21_list_files returns a list of uploaded documents, including their names and associated metadata. This lets your agent check what data is available before running analysis tools.
How does the `ai21_grammar_correction` tool handle complex language errors? +
The ai21_grammar_correction tool applies high-fidelity checks for grammar, syntax, and spelling. It doesn't just flag errors; it provides the corrected, optimized text.
Which tools should I use for document management alongside `ai21_get_file`? +
For full document lifecycle management, pair ai21_get_file with ai21_delete_file and ai21_list_files. This lets your agent handle the complete process of retrieving, inspecting, and cleaning up files.
How do I find my AI21 API Key? +
Log in to the AI21 Studio Dashboard, click on your profile (top right), and navigate to API Keys to copy your token.
Can I use AI21 for RAG via AI? +
Yes! The contextual_answers tool allows your agent to extract precise information from provided text context using high-fidelity RAG technology.
Does it support grammar correction? +
Absolutely. Use the grammar_correction tool to fix spelling, syntax, and phrasing in your text programmatically.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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