{"id":4678,"date":"2025-04-28T08:00:33","date_gmt":"2025-04-28T15:00:33","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/introducing-couchbase-mcp-server-ai-agents\/"},"modified":"2025-04-28T08:00:33","modified_gmt":"2025-04-28T15:00:33","slug":"introducing-couchbase-mcp-server-ai-agents","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/ko\/introducing-couchbase-mcp-server-ai-agents\/","title":{"rendered":"Introducing Model Context Protocol (MCP) Server for Couchbase"},"content":{"rendered":"<p>The cornerstone of autonomous AI Agentic systems and GenAI applications is an \u201cAugmented LLM\u201d, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its <a href=\"https:\/\/www.anthropic.com\/news\/model-context-protocol\" target=\"_blank\" rel=\"noopener\">introduction<\/a>, there has been a lot of buzz around <a href=\"https:\/\/modelcontextprotocol.io\/introduction\" target=\"_blank\" rel=\"noopener\">Model Context Protocol (MCP)<\/a>, an evolving protocol standard that specifies how applications can provide context to AI Models\/LLMs. Using the context, AI agents can autonomously decide which tools to use in order to accomplish a task.<\/p>\n\n\n\n<p>Today, we are happy to introduce the <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase\/tree\/main\" target=\"_blank\" rel=\"noopener\">Couchbase MCP Server<\/a> for Couchbase that can be leveraged with AI agentic workflows and applications by enabling LLMs to perform actions against your Couchbase cluster through a well-defined set of <a href=\"https:\/\/modelcontextprotocol.io\/docs\/concepts\/tools\" target=\"_blank\" rel=\"noopener\">tools<\/a>. The Couchbase server\u00a0 data source may be hosted on Capella or self managed.<\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17084 size-large\" src=\"https:\/\/www.couchbase.com\/wp-content\/uploads\/sites\/5\/2026\/05\/Screenshot-2025-04-27-at-4.37.35-PM-1024x391-1.png\" alt=\"\" width=\"900\" height=\"344\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to get started<\/h2>\n\n\n\n<p>The MCP Server is an open source, <a href=\"https:\/\/docs.couchbase.com\/cloud\/third-party\/integrations.html#support-model\" target=\"_blank\" rel=\"noopener\">Couchbase Community Supported<\/a> offering that is currently available as a self-managed offering with a fully managed version coming later. The server is available on several of the popular destinations for MCP servers and more to come:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GitHub:\u00a0 <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase\" target=\"_blank\" rel=\"noopener\">Community MCP Servers<\/a>.<\/li>\n\n\n<li><a href=\"https:\/\/smithery.ai\/server\/@Couchbase-Ecosystem\/mcp-server-couchbase\" target=\"_blank\" rel=\"noopener\">Smithery AI<\/a> , a MCP server marketplace<\/li>\n\n\n<li><a href=\"https:\/\/glama.ai\/mcp\/servers\/@Couchbase-Ecosystem\/mcp-server-couchbase\" target=\"_blank\" rel=\"noopener\">Glama.ai<\/a><\/li>\n\n\n<li><a href=\"https:\/\/hub.docker.com\/r\/couchbaseecosystem\/mcp-server-couchbase\" target=\"_blank\" rel=\"noopener\">Docker image<\/a><\/li>\n\n<\/ul>\n\n\n\n<p>The current version of MCP server must be configured with a specific bucket in the Couchbase Server cluster, which may be self managed or hosted on Capella.\u00a0 All data operations are in the context of that bucket. The version of MCP Server at the time of this blog supports the following tools:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Get_scopes_and_collections_for_bucket<\/b>\n<ul>\n<li>Fetches a list of all the scopes and collections in a bucket.<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>Get_schema_for_collection<\/b>\n<ul>\n<li>Fetches the data model associated with documents in a specific collection<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>Run_sql_plus_plus_query\u00a0<\/b>\n<ul>\n<li>Runs SQL++ query against specific bucket. Currently, read-only query operations are permitted.<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>read_document<\/b>\n<ul>\n<li>Retrieves document matching specific criteria<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>add_document<\/b>\n<ul>\n<li>Inserts a document<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>delete_document<\/b>\n<ul>\n<li>Deletes document<\/li>\n<\/ul>\n<\/li>\n\n\n<li><b>update_document<\/b>\n<ul>\n<li>Replaced current version of document with new document<\/li>\n<\/ul>\n<\/li>\n\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><\/li>\n\n\n<li><\/li>\n\n\n<li><\/li>\n\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><\/li>\n\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><\/li>\n\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><\/li>\n\n<\/ul>\n\n\n\n<p>With new tools and updates coming in on a regular basis, ensure you are working with the latest version. Support for resources and prompts are planned for the future.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Try it!<\/h2>\n\n\n\n<p>You will likely be building your own MCP-aware AI agents and applications that will be leveraging Couchbase MCP server but the standard protocol allows you to quickly get started with evaluating\u00a0 the server using one of the many <a href=\"https:\/\/modelcontextprotocol.io\/clients\" target=\"_blank\" rel=\"noopener\">MCP clients<\/a>, including <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase\/tree\/main?tab=readme-ov-file#claude-desktop\" target=\"_blank\" rel=\"noopener\">Claude desktop<\/a>, <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase\/tree\/main?tab=readme-ov-file#cursor\" target=\"_blank\" rel=\"noopener\">cursor<\/a> and <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase?tab=readme-ov-file#windsurf-editor\" target=\"_blank\" rel=\"noopener\">Windsurf<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">See it in action<\/h2>\n\n\n\n<p><a href=\"https:\/\/youtu.be\/sU40zTRjWcc?si=bxXH0j0jq2C8TT-g\" target=\"_blank\" rel=\"noopener\">This video<\/a> recording is a simple demonstration of Couchbase MCP Server that is configured with my <a href=\"https:\/\/docs.couchbase.com\/home\/cloud.html\" target=\"_blank\" rel=\"noopener\">Capella free tier cluster<\/a> as backing data source.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The cluster is provisioned with some rudimentary store product catalog data set.<\/li>\n\n\n<li>Using <a href=\"https:\/\/claude.ai\/download\" target=\"_blank\" rel=\"noopener\">Claude desktop<\/a> as the client, we ask questions in natural language against the <a href=\"https:\/\/www.anthropic.com\/claude\/sonnet\" target=\"_blank\" rel=\"noopener\">Claude3.7 Sonnet<\/a> model, which in turn uses MCP to talk to the Couchbase MCP server for retrieving additional context.<\/li>\n\n\n<li>\u00a0In the video, you can see that the LLM determines the tools to use and the order of execution in order to accomplish the task.<\/li>\n\n\n<li>Once the task is completed, the results are verified by running SQL++ query directly on the cluster.<\/li>\n\n<\/ul>\n\n\n\n<p><iframe loading=\"lazy\" title=\"Couchbase MCP Server in Action\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/sU40zTRjWcc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Next Steps<\/h2>\n\n\n\n<p>We\u2019d love to hear from you. If you have questions, or feedback on a tool you\u2019d like, you can reach out to us via <a href=\"https:\/\/www.couchbase.com\/blog\/ko\/forums\/\" target=\"_blank\" rel=\"noopener\">Couchbase Forums<\/a>, <a href=\"https:\/\/discord.com\/invite\/K7NPMPGrPk?utm_source=launchblogpost&amp;utm_medium=text&amp;utm_campaign=discord\" target=\"_blank\" rel=\"noopener\">Discord<\/a> or <a href=\"https:\/\/github.com\/Couchbase-Ecosystem\/mcp-server-couchbase\/tree\/main\" target=\"_blank\" rel=\"noopener\">GitHub<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Acknowledgements<\/h2>\n\n\n\n<p>Special thanks to <a href=\"https:\/\/github.com\/nithishr\" target=\"_blank\" rel=\"noopener\">Nithish<\/a> for his contributions to the project.<\/p>","protected":false},"excerpt":{"rendered":"<p>The cornerstone of autonomous AI Agentic systems and GenAI applications is an \u201cAugmented LLM\u201d, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its introduction, there has been a lot of buzz around Model Context Protocol (MCP), an evolving protocol standard that specifies how applications can provide [&hellip;]<\/p>\n","protected":false},"author":1423,"featured_media":4677,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[920,754,598,178,301,54,727],"tags":[728,977,797],"ppma_author":[252],"class_list":["post-4678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai-apps","category-ai-services","category-artificial-intelligence-ai","category-connectors","category-cloud","category-couchbase-server","category-generative-ai-genai","tag-llms","tag-model-context-protocol-mcp","tag-rag-retrieval-augmented-generation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - 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