AI Agent for Graphlit MCP Server
Seamlessly integrate the Graphlit Model Context Protocol (MCP) Server to unify and search knowledge across Slack, Discord, websites, Google Drive, email, Jira, GitHub, and more. Instantly ingest, extract, and retrieve rich content, enabling RAG-ready and searchable knowledge bases for product and developer workflows. Automate ingestion, transcription, extraction, and publishing, all with advanced connectors and web tools.
Unified Knowledge Ingestion & Retrieval
Ingest structured and unstructured data from Slack, Discord, email, Jira, Linear, GitHub, Google Drive, and more. Search and retrieve instantly within any MCP client, powering RAG-ready knowledge bases for your product and development teams.
- Multi-Source Ingestion.
- Automatically ingest files, messages, emails, issues, and documents from a wide range of connectors including Google Drive, Slack, Discord, Jira, GitHub, and more.
- Powerful Search & Retrieval.
- Enable fast, semantic search and retrieval of relevant knowledge, documents, and conversations across all connected data sources.
- Audio & Video Transcription.
- Transcribe audio and video files into searchable text automatically for enhanced knowledge discovery.
- Document Conversion.
- Extract and convert PDFs, DOCX, PPTX, and HTML to Markdown for standardized, searchable storage.
Advanced RAG & Extraction Tools
Empower your teams with Retrieval-Augmented Generation (RAG) and structured data extraction. Launch LLM-powered conversations, extract structured JSON from text, and publish as audio or images, automating knowledge workflows.
- LLM Conversation & RAG.
- Prompt LLM-powered conversations with context from your ingested data for smarter, retrieval-augmented responses.
- Structured Data Extraction.
- Extract structured JSON from unstructured text and documents, streamlining downstream automation.
- Flexible Publishing.
- Publish extracted insights as audio or images using integrated AI services.
Automation, Notifications & Web Tools
Automate operations, manage data connectors, and stay informed with built-in notifications. Use advanced web crawling, web search, mapping, and screenshot tools to keep your knowledge base current and actionable.
- Automated Operations.
- Configure, create, and manage collections, feeds, and workflows with robust automation tools.
- Integrated Notifications.
- Stay updated with notifications via Slack, email, webhook, and Twitter/X for important project events.
- Web Crawling & Search.
- Leverage built-in web crawling, search, mapping, and screenshot tools to keep your knowledge up to date.
MCP INTEGRATION
Available Graphlit MCP Integration Tools
The following tools are available as part of the Graphlit MCP integration:
- query_contents
Search and filter contents within your knowledge base to find relevant documents and data.
- query_collections
Search across collections to identify and retrieve grouped content efficiently.
- query_feeds
Query feeds to discover and gather information from various ingested sources.
- query_conversations
Search and retrieve conversations, enabling exploration of threaded discussions and messages.
- retrieve_relevant_sources
Retrieve sources most relevant to a query, supporting context-aware information access.
- retrieve_similar_images
Find and return images visually similar to a given reference image.
- visually_describe_image
Generate a visual description of an image for accessibility or content understanding.
- extract_structured_json_from_text
Extract structured JSON data from unstructured text for downstream processing.
- ingest_files
Add files of various formats to your Graphlit project for indexing and retrieval.
- ingest_web_pages
Ingest web pages by crawling URLs and extracting their content into the knowledge base.
- ingest_messages
Import messages from chat platforms and communication tools for centralized access.
- ingest_posts
Ingest posts from supported platforms, storing them for search and later reference.
- ingest_emails
Add email messages from connected accounts to your knowledge repository.
- ingest_issues
Ingest issues from project management systems like Jira, Linear, or GitHub Issues.
- ingest_text
Add arbitrary text entries directly into your knowledge base.
- ingest_memory
Store short-term memory snippets for quick recall and context maintenance.
- create_collection
Create new collections to organize and group related content.
- add_contents_to_collection
Add existing content items to a specified collection for organization.
- remove_contents_from_collection
Remove specific contents from a collection without deleting the original data.
- delete_collections
Delete one or more collections and manage your organizational structure.
- delete_feeds
Delete feeds that are no longer required from the knowledge base.
- delete_contents
Remove specific content items from your project permanently.
- delete_conversations
Delete conversations to manage data retention and privacy.
- is_feed_done
Check the completion status of a feed to monitor ingestion progress.
- is_content_done
Verify if content ingestion or processing has finished for a specific item.
- list_slack_channels
List all available Slack channels connected to your project.
- list_microsoft_teams_teams
List Microsoft Teams teams for integration and data ingestion.
- list_microsoft_teams_channels
List all channels within Microsoft Teams environments.
- list_sharepoint_libraries
Enumerate SharePoint document libraries accessible by the integration.
- list_sharepoint_folders
List folders within SharePoint for targeted content operations.
- list_linear_projects
List available Linear projects for issue and task synchronization.
- list_notion_databases
List Notion databases for extraction or update of structured information.
- list_notion_pages
List all Notion pages linked to your workspace.
- list_dropbox_folders
List Dropbox folders accessible for data ingestion or management.
- list_box_folders
List Box folders to facilitate integration across cloud storage.
- list_discord_guilds
List Discord guilds (servers) for message and channel operations.
- list_discord_channels
List channels within Discord guilds for ingestion or notifications.
- list_google_calendars
List Google Calendars for event extraction or integration.
- list_microsoft_calendars
List Microsoft calendars for scheduling and data retrieval.
- web_crawling
Crawl websites to ingest and index web pages automatically.
- web_search
Perform web and podcast searches to augment your information sources.
- web_mapping
Map web structures and links for content discovery and crawling strategies.
- screenshot_page
Capture and store screenshots of web pages for visual archiving.
- publish_as_audio
Publish content as audio using ElevenLabs audio synthesis.
- publish_as_image
Generate and publish images from text using OpenAI image generation.
- prompt_llm_conversation
Initiate LLM-powered conversations for question answering and contextual RAG.
- configure_project
Configure project-level settings and credentials for tailored integration.
- notifications_slack
Send notifications to Slack channels for alerts and updates.
- notifications_email
Send email notifications based on events or workflow changes.
- notifications_webhook
Trigger outbound webhook notifications to external systems.
- notifications_twitter
Notify via Twitter/X for real-time publishing and alerting.
Connect Your Graphlit MCP Server with FlowHunt AI
Connect your Graphlit MCP Server to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is Graphlit
Graphlit is a managed knowledge API platform designed to enable developers and businesses to build knowledge-driven AI applications efficiently. It offers ingestion, memory, and retrieval capabilities for AI apps and agents, making it easier to extract, transform, and load (ETL) data for large language models (LLMs) through web scraping, file uploads, and API integrations. Graphlit empowers users to leverage multimodal AI and LLMs, transforming unstructured data into intelligent, actionable insights. With its API-first, cloud-native approach, Graphlit streamlines the process of structuring and storing knowledge from documents, websites, and other data sources, providing robust support for AI-powered workflows.
Capabilities
What we can do with Graphlit
Graphlit enables a wide range of capabilities for AI agents, developers, and businesses by providing powerful APIs for ingesting, processing, and retrieving knowledge from diverse data sources. Here are some of the key things you can do with Graphlit:
- Automated Data Ingestion
- Seamlessly extract and structure knowledge from documents, web pages, and APIs.
- Memory & Retrieval for AI
- Equip your AI agents with persistent memory and advanced retrieval capabilities.
- Multimodal Data Processing
- Handle text, images, and other data types to create rich, contextual knowledge bases.
- Web Scraping for LLMs
- Ingest up-to-date information for large language models using integrated web scraping tools.
- API-First Integration
- Easily embed knowledge management into your own apps, agents, or AI workflows.
How AI Agents Benefit from Graphlit
AI agents can leverage Graphlit’s platform to enhance their memory, context, and decision-making abilities by accessing structured, real-time, and multimodal knowledge. This enables agents to provide more accurate answers, maintain context over longer interactions, and integrate insights from a variety of sources including documents, web pages, and APIs. By automating the ingestion and retrieval process, AI agents using Graphlit become more autonomous, reliable, and effective in tasks such as customer support, research, and decision automation.