Fluree_MCP_Server
Fluree MCP Server is a Node.js gateway that connects FlureeDB to modern AI-powered IDEs and apps (like Gemini, Cursor, and Windsurf) using the Model Context Protocol (MCP). It offers 15+ tools for querying, schema management, and diagnostics, with session-aware security, structured prompts, and easy extensibility—making FlureeDB integration smarter
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Fluree MCP Server
A modern Node.js gateway that exposes FlureeDB functionality through the Model Context Protocol (MCP). It combines a rich set of MCP tools, structured prompts, and session-aware routing so any LLM-powered client (IDE, chat, or custom app) can query, mutate, and manage a Fluree ledger safely and interactively.
✨ Key Features
Category | Highlights |
---|---|
MCP Tools | 15+ tools: query, transact, block/block-range, history, network status, key generation, schema management (create / update / validate / export / import), database diagnostics, echo |
Structured Prompts | Every tool ships with a matching prompt template; clients discover via prompts/list , retrieve with prompts/get , and enjoy argument completion support |
Session Management | First initialize call establishes a session & stores connection info (dbUrl, network, ledger) so subsequent requests are stateless for the client |
Validation & Safety | All tool inputs validated with Zod; errors surfaced as JSON-RPC -32602 or -32603 |
Hot-Reload Friendly | Tools & prompts registered dynamically; add new modules under src/tools or src/prompts and restart |
Extensible | Written in ES Modules, small surface area—drop in new handlers, middlewares, or MCP capabilities |
🗂️ Project Structure
src/
├─ config/ # Constant defaults & env helpers
├─ controllers/ # MCP server controller (session init, tool/prompt registration)
├─ routes/ # Express routes (`/api/v1/mcp`)
├─ tools/ # Individual MCP tools (each default export = { name, config, handler })
├─ prompts/ # Prompt templates mirrored one-to-one with tools
└─ index.js # Express bootstrap
.env.example # Sample environment variables
README.md # ← you are here
🚀 Quick Start
Clone & Install
git clone https://github.com/UDAIBHAT/Fluree_MCP_Server.git cd fluree-mcp-server npm install cp .env.example .env # adjust DB connection defaults if desired
Run
npm start # serves http://localhost:3000
Initialize a Session
POST http://localhost:3000/api/v1/mcp Headers: { "Content-Type":"application/json" } Body: { "jsonrpc":"2.0", "id":1, "method":"initialize", "params":{ "dbUrl":"Your_DBurl", "network":"Your_Network", "ledger":"Your_Ledger" } }
The response includes
mcp-session-id
—add it to all subsequent requests.Discover Tools & Prompts
{ "jsonrpc":"2.0", "id":2, "method":"prompts/list", "params":{} }
🖥️ IDE & Non-IDE Client Setup
IDE clients
Cursor, Windsurf,Google Gemini . RooCode
can add the server definition to their settings. Two examples are shown below – one for Cursor and one for Windsurf:
CURSOR IDE
- Just insert this Patch of Json-code under the MCP-Section in the Cursor settings and you are good to go.....
{
"mcpServers": {
"Fluree_MCP_Server": {
"url": "http://localhost:3000/api/v1/mcp",
"headers": {
"dburl": "Your_DBurl",
"network": "Your_Network",
"ledger": "Your_Ledger"
}
}
}
}
WINDSURF IDE
- Just insert this Patch of Json-code under the MCP-Section in the Windsurf Cascade settings and you are good to go.....
{
"mcpServers": {
"Fluree_MCP_Server": {
"serverUrl": "http://localhost:3000/api/v1/mcp",
"headers": {
"dbUrl": "Your_DBurl",
"network": "Your_Network",
"ledger": "Your_Ledger"
}
}
}
}
GOOGLE GEMINI
- Use the following JSON patch in your Gemini .settings
[ Currently Gemini doesnt support Streamable HTTP transport]
{
"mcpServers": {
"Fluree_MCP_Server": {
"httpUrl": "http://localhost:3000/api/v1/mcp?dburl=<Your_DBurl>&network=<Your_Network>&ledger=<Your_Ledger>",
"timeout": 30000,
"trust": true
}
}
}
Non-IDE clients
Can simply POST to /api/v1/mcp
(or /mcp
) with a JSON body containing dbUrl
, network
, and ledger
as shown in the Quick-Start initialization request.
🔧 Tools Overview
Name | Purpose | Input Parameters |
---|---|---|
flureeQueryTool |
Select data via FlureeQL | selectFields (array|"*"), fromCollection |
flureeTransact |
Create random collections | count (1-50) |
flureeSchemaCreate |
Create collection + predicates | collectionName , predicates[] , doc? |
flureeSchemaUpdate |
Update collection/predicates | collectionName , updateType , etc. |
… | See src/tools for the rest |
Each tool handler returns { content:[ {type:"text"|"json", text:string|object} ] }
, ready for LLM streaming.
💬 Prompt Workflow
- List →
method:"prompts/list"
- Get →
method:"prompts/get"
, pass promptname
+arguments
object - (Optional) Suggest →
method:"completion/suggest"
for auto-complete while filling arguments
Prompts use Mustache-style placeholders ({{argument}}
) inside user messages to instruct the assistant to call the correct tool.
⚙️ Environment Variables
Variable | Default | Description |
---|---|---|
PORT |
3000 |
Server port |
FLUREE_DB_URL |
http://localhost:8090 |
Base Fluree URL |
FLUREE_NETWORK |
test |
Default network |
FLUREE_LEDGER |
demo |
Default ledger |
📑 API Collection
A ready-to-import Postman collection lives at docs/postman/Fluree_MCP.postman_collection.json
(or generate it from the sample snippet in this README).
You can also make a new collection with specified MCP endpoint ,postman supports the mcp endpoints so just inseret the server url then it will give you the whole list of tools.
Just Import the collection and call the
Initialize_req
this will make Initialization_Connection to the MCP_Server and you can also change theparams
likedbUrl,network,ledger
The mcp-session-id is dynamically stored in every request through Postman Post-Req Scripts
🛣️ Roadmap / Nice-to-Haves
- JWT authentication & role-based prompt permissions
- Rate limiting & CORS controls
- WebSocket support for real-time block watch
- Production observability: Prometheus exporter & Grafana dashboard
- Docker Compose bundle (Fluree + MCP + Grafana)
📜 License
MIT © UDAI BHAT