AI Agent for Context Portal
Integrate Context Portal (ConPort) as a powerful memory bank for your software projects. Effortlessly manage, store, and retrieve structured project context—such as decisions, tasks, and architecture—enabling AI assistants and developer tools to deliver more accurate, context-aware responses. Boost productivity with advanced semantic search, vector storage, and Retrieval Augmented Generation (RAG) capabilities.
Structured Project Knowledge Graph
Context Portal provides a robust, database-backed solution for storing and managing all critical project information. Build a dynamic project knowledge graph—capturing architectural decisions, progress, and relationships—enabling instant context retrieval and updates for your AI assistant or developer tool.
- Structured Context Storage.
- Leverage SQLite databases for each workspace to securely store and organize project data.
- Comprehensive Knowledge Graph.
- Capture decisions, tasks, architecture, and more in a dynamic, queryable format.
- Multi-Workspace Support.
- Manage context across multiple projects with ease using workspace-specific databases.
- Powerful Search.
- Access information fast with advanced semantic search powered by vector embeddings.
AI-Driven Context Retrieval
Empower AI assistants to find, update, and use relevant project context instantly. Context Portal’s tools allow seamless integration with IDEs and LLM-driven developer workflows, supporting Retrieval Augmented Generation (RAG) for more intelligent, accurate responses.
- Semantic Search & Vector Storage.
- Powerful vector-based search allows LLMs to retrieve the most relevant project context instantly.
- IDE & LLM Integration.
- Plug into IDEs and custom LLM agents using Model Context Protocol (MCP) for seamless workflow automation.
- Retrieval Augmented Generation (RAG).
- Enable RAG workflows, letting AI agents generate more precise, context-aware responses.
Easy Deployment & Flexible Configuration
Start using Context Portal quickly with simple setup using Python and 'uvx'. Multi-platform compatibility and straightforward configuration ensure you can focus on building, while ConPort handles your project’s memory and context needs.
- Easy Installation.
- Deploy with a single command using 'uvx' and get started instantly—no manual environment setup required.
- Flexible Configuration.
- Customize logging, workspace paths, and integrate with any MCP-capable client.
MCP INTEGRATION
Available ConPort MCP Integration Tools
The following tools are available as part of the ConPort MCP integration:
- get_product_context
Retrieves the overall project goals, features, and architecture from the product context.
- update_product_context
Updates the product context with new or modified content, supporting both full and partial updates.
- get_active_context
Retrieves the current working focus, recent changes, and open issues for the project workspace.
Connect Your Context Portal (ConPort) with FlowHunt AI
Connect your Context Portal (ConPort) to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is MCP Servers
MCP Servers is a comprehensive platform dedicated to the Model Context Protocol (MCP), which enables seamless integration between AI agents and a wide variety of online tools and data sources. The company curates and hosts an extensive collection of MCP servers, empowering users to discover, connect, and deploy AI agents that can interact with APIs, databases, and web services through a unified protocol. MCP Servers provides out-of-the-box connectors for popular platforms like GitHub, Google Drive, Slack, and hundreds more, facilitating automated workflows, data extraction, and intelligent task execution. By standardizing the way AI systems communicate with external resources, MCP Servers accelerates the development and deployment of intelligent assistants and applications across diverse domains including finance, news, image editing, real estate, and more.
Capabilities
What we can do with MCP Servers
MCP Servers unlocks a wide range of possibilities for developers, AI engineers, and businesses looking to build or enhance AI-powered applications. By leveraging the Model Context Protocol, users can quickly integrate and orchestrate multiple third-party services, automate complex tasks, and create intelligent workflows across different platforms. MCP Servers makes it simple to search, select, and combine specialized servers for everything from news aggregation and crypto trading to social media management and advanced data analysis.
- Automate Data Extraction
- Seamlessly connect to APIs and databases for structured data retrieval and integration.
- Build AI Agents
- Deploy intelligent assistants that interact with news, finance, image, and productivity services.
- Orchestrate Workflows
- Combine multiple MCP servers to automate cross-platform tasks and processes.
- Integrate with SaaS Tools
- Connect with popular platforms like GitHub, Google Drive, Slack, and more.
- Accelerate AI Development
- Leverage ready-to-use MCP servers to rapidly prototype and launch AI-powered solutions.
How AI Agents Benefit from MCP Servers
AI agents gain significant advantages from MCP Servers by gaining standardized access to a rich ecosystem of APIs and services. Using the unified Model Context Protocol, agents can retrieve up-to-date information, perform transactions, and automate workflows without custom integrations for each new tool or data source. This scalability and flexibility enable AI agents to deliver smarter, more responsive, and contextually aware solutions across industries.