MCP Server
Crawl, embed, chunk, search and retrieve information from datasets through Trieve.
Que pouvez-vous faire avec MCP Server ?
- Search across Trieve datasets using semantic search
- List and access dataset information
- Support for both environment variables and command-line arguments
- Built with TypeScript for type safety and better developer experience
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
trieve-mcp-server
A Model Context Protocol (MCP) server that provides agentic tools for interacting with the Trieve API. This server enables AI agents to search and interact with Trieve datasets through a standardized interface.
Features
- Search across Trieve datasets using semantic search
- List and access dataset information
- Support for both environment variables and command-line arguments
- Built with TypeScript for type safety and better developer experience
Installation
Installing via Smithery
To install Trieve for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install trieve-mcp-server --client claude
Manual Installation
npm install trieve-mcp-server
Configuration
Copy the .env.dist file to .env and fill in your Trieve credentials:
cp .env.dist .env
Required environment variables:
TRIEVE_API_KEY: Your Trieve API key from dashboard.trieve.aiTRIEVE_ORGANIZATION_ID: Your Trieve organization ID from dashboard.trieve.ai
Optional environment variables:
TRIEVE_DATASET_ID: Specific dataset ID to use (if not provided via CLI)
Command-line arguments (override environment variables):
trieve-mcp-server --api-key <your-api-key> --org-id <your-org-id> [--dataset-id <dataset-id>]
Usage
Starting the Server
trieve-mcp-server
Available Tools
search
Search through a specified Trieve dataset.
Parameters:
query(string): The search querydatasetId(string): ID of the dataset to search insearchType(string, optional): "semantic" (default), "fulltext", "hybrid", or "bm25"filters(object, optional): Advanced filtering optionshighlightOptions(object, optional): Customize result highlightingpage(number, optional): Page number, default 1pageSize(number, optional): Results per page, default 10
Example:
{
"query": "example search query",
"datasetId": "your-dataset-id",
"searchType": "semantic",
"page": 1,
"pageSize": 10
}
Available Resources
The server exposes Trieve datasets as resources with the following URI format:
trieve://datasets/{dataset-id}
Usage with Claude Desktop
The Trieve MCP Server supports MCP integration with Claude Desktop. Place the following in your Claude Desktop's claude_desktop_config.json.
{
"mcpServers": {
"trieve-mcp-server": {
"command": "npx",
"args": ["trieve-mcp-server@latest"],
"env": {
"TRIEVE_API_KEY": "$TRIEVE_API_KEY",
"TRIEVE_ORGANIZATION_ID": "$TRIEVE_ORGANIZATION_ID",
"TRIEVE_DATASET_ID": "$TRIEVE_DATASET_ID"
}
}
}
}
Note: Instead of environment variables, --api-key, --org-id, and --dataset-id can be used as command-line arguments.
Once Claude Desktop starts, attachments will be available that correspond to the datasets available to the Trieve organization. These can be used to select a dataset. After that, begin chatting with Claude and ask for information about the dataset. Claude will use search as needed in order to filter and break down queries, and may make multiple queries depending on your task.
Development
Setup
- Clone the repository
- Install dependencies:
bash npm install - Copy
.env.distto.envand configure your credentials - Build the project:
bash npm run build
Scripts
npm run build: Build the TypeScript projectnpm run watch: Watch for changes and rebuildnpm run test: Run testsnpm run inspector: Run the MCP inspector for debugging
License
MIT
Questions fréquentes
Qu'est-ce que MCP Server ?
Crawl, embed, chunk, search and retrieve information from datasets through Trieve.
Comment installer MCP Server ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
MCP Server est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient MCP Server ?
Il est publié par devflowinc. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.