What features does Graphlit MCP server provide?

Q: What features does Graphlit MCP server provide?

Retrieval Toolkit: Query Contents, Query Collections, Query Feeds, Query Conversations, Retrieve Relevant Sources, Retrieve Similar Images, and Visually Describe Image.. RAG Conversation: Prompt LLM-based conversations for Retrieval-Augmented Generation (RAG) workflows.. Extraction: Extract Structured JSON from Text to enable structured data processing.. Publishing: Publish as Audio (ElevenLabs) and Publish as Image (OpenAI Image Generation).. Ingestion: Ingest Files, Web Pages, Messages, Posts, Emails, Issues, Text, and Memory (Short-Term).. Data Connectors: Wide range of connectors including Slack, Google Mail, Notion, Reddit, Linear, Jira, GitHub, Google Drive, OneDrive, SharePoint, Dropbox, Box, Microsoft Teams, Discord, Twitter/X, Podcasts (RSS), and more.. Web Tools: Web Crawling, Web Search (including Podcast Search), Web Mapping, and Screenshot Page.. Notifications: Notify via Slack, Email, Webhook, and Twitter/X.

Graphlit MCP Server 2025: Features & Setup Guide

Overview

Graphlit's Model Context Protocol (MCP) Server enables seamless integration between MCP clients and the Graphlit service. It ingests data from Slack, Discord, websites, Google Drive, email, Jira, Linear, and GitHub into a Graphlit project, which serves as a centralized, searchable, and RAG-ready knowledge base across developers and product management tools. Ingested documents (PDF, DOCX, PPTX, HTML, etc.) and web pages are extracted to Markdown, and audio/video content is transcribed to text. Web crawling and web search are built-in MCP tools, eliminating the need for external crawlers. MCP clients such as Cursor, Windsurf, Goose, and Cline can read and query the knowledge base to perform retrieval-augmented generation. The MCP Server supports configuration via environment variables (GRAPHLIT_ENVIRONMENT_ID, GRAPHLIT_ORGANIZATION_ID, GRAPHLIT_JWT_SECRET) accessible in the Graphlit Platform API settings dashboard. It also offers publishing options (audio via ElevenLabs and image via OpenAI), a broad set of data connectors, and web tools to support diverse workflows. Additional resources include the Graphlit blog, a YouTube tutorial, and a Discord community for questions.

Features

Retrieval Toolkit

Query Contents, Query Collections, Query Feeds, Query Conversations, Retrieve Relevant Sources, Retrieve Similar Images, and Visually Describe Image.

RAG Conversation

Prompt LLM-based conversations for Retrieval-Augmented Generation (RAG) workflows.

Extraction

Extract Structured JSON from Text to enable structured data processing.

Publishing

Publish as Audio (ElevenLabs) and Publish as Image (OpenAI Image Generation).

Ingestion

Ingest Files, Web Pages, Messages, Posts, Emails, Issues, Text, and Memory (Short-Term).

Data Connectors

Wide range of connectors including Slack, Google Mail, Notion, Reddit, Linear, Jira, GitHub, Google Drive, OneDrive, SharePoint, Dropbox, Box, Microsoft Teams, Discord, Twitter/X, Podcasts (RSS), and more.

Web Tools

Web Crawling, Web Search (including Podcast Search), Web Mapping, and Screenshot Page.

Notifications

Notify via Slack, Email, Webhook, and Twitter/X.