Turn any data source into an MCP server in minutes
Connect Akyn Sdk to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Turn any data source into an MCP server in minutes. The akyn sdk mcp server is what makes that connection.
Build knowledge bases that AI assistants like Claude and Cursor can query directly. No infrastructure needed.
This SDK lets you create MCP (Model Context Protocol) servers from any data source. Your docs, PDFs, websites, or any text can become a queryable knowledge base that AI assistants can access directly.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Qdrant — For production workloads, use Qdrant - a high-performance vector database:KnowledgeBase — The KnowledgeBase tool exposed by this serverMethods — The Methods tool exposed by this serverUtilities — // Vector stores InMemoryVectorStore, QdrantVectorStore, } from 'akyn-ai'query — The query tool exposed by this serverlist_sources — The list_sources tool exposed by this serverConfiguration is passed through the environment: OPENAI_API_KEY, QDRANT_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Akyn Sdk's toolset — Qdrant, KnowledgeBase, Methods and 3 more — is a fair guide to whether it matches your workflow. It is maintained by ilyestal; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Qdrant | For production workloads, use [Qdrant](https://qdrant.tech/) - a high-performance vector database: |
| KnowledgeBase | The KnowledgeBase tool exposed by this server. |
| Methods | The Methods tool exposed by this server. |
| Utilities | // Vector stores InMemoryVectorStore, QdrantVectorStore, } from 'akyn-ai' |
| query | The query tool exposed by this server. |
| list_sources | The list_sources tool exposed by this server. |
{
"mcpServers": {
"my-docs": {
"command": "npx",
"args": ["ts-node", "./my-kb.ts"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| QDRANT_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.