Give Your AI Agents
Real Context
Connect GitHub, Jira, Linear, databases, MCP servers, and REST APIs. Materialize the data you need into files that Claude Code and other agents can read.
How It
Works
Four steps from connected source to agent-ready context.
Connect a Source
Add credentials for GitHub, Jira, Linear, a database, MCP server, or REST API. Credentials are encrypted at rest.
Define Queries
Describe what data you need in natural language. "Get all open PRs" or "Issues in current sprint".
Materialize Context
Run the query to generate markdown files. Each file contains structured data agents can read.
Point Claude Code Here
Tell your AI agent to read from the materialized folder. It now has fresh context from your systems.
Supported
Sources
Connect the systems where your work actually happens.
GitHub
Connect repositories to pull PRs, issues, code reviews, and commit history into your agent context.
- Pull requests with diffs and reviews
- Issues and feature requests
- Repository metadata and README
- Commit history and branches
Jira
Sync project tickets, sprints, and epics so agents understand your backlog and priorities.
- Issues with full descriptions
- Sprint and epic context
- Priority and status tracking
- Assignee and workflow state
Linear
Pull issues, projects, and cycles from Linear into agent-readable context files.
- Issue details and descriptions
- Project and cycle context
- Priority labels
- Team and assignee info
Database
Query PostgreSQL, MySQL, or other databases. Results become materialized context files.
- PostgreSQL and MySQL support
- Read-only SELECT queries
- Row limits and timeouts
- Schema introspection
MCP Server
Connect to any MCP server to discover tools and execute them as part of your workflow.
- Tool discovery and listing
- Tool execution with inputs
- Resource reading
- JSON-RPC transport
REST API
Connect any REST API with Bearer, Basic, API Key, or OAuth2 authentication.
- Multiple auth methods
- GET/POST/PUT/DELETE support
- Custom headers
- Response transformation
Built for
Production
Agent-Ready Files
Materialized content is clean markdown that any LLM can parse and understand.
Scheduled Refresh
Set up cron jobs to automatically refresh context. Always-fresh data for your agents.
Full-Text Search
Search across all materialized files. Find the context you need instantly.
Lineage Tracking
See how sources, queries, and files connect. Understand your data flow.
Secure by Default
Secrets never appear in API responses. SSRF protection blocks internal network access.
Async Processing
Large queries run in the background. Get notified when materialization completes.
MCP gives agents tools.
MigrateForce gives agents context.
Connect your sources today and give your AI agents the context they need to actually help.