Agent Integration Hub

Connect your agent in minutes

No CTI knowledge required. Pick your integration path below, follow the steps, and have your agent querying ThreatRecall memory before your coffee gets cold.

▶ Not sure where to start?

Start with the MCP guide

If you use Claude Code, Cursor, or any MCP-compatible agent — this is the fastest path. One config file, no code changes, works in 5 minutes.

Start with MCP →

Choose your integration

MCP
Model Context Protocol
Works with Claude Code, Cursor, Goose, any MCP client.
Install a small npm package and point your agent at ThreatRecall. One config file, no code.
⏱ ~5 min ● Claude Code, Cursor, Goose users
View guide →
LangChain
LangChain Adapter
Drop-in MemoryRetriever for LangChain pipelines.
Install the adapter, drop in the retriever, wire your workspace. Works with CrewAI.
⏱ ~10 min ● LangChain Python/JS, CrewAI users
View guide →
CrewAI
CrewAI Memory
Give your analyst agents persistent recall.
Wire ThreatRecall as memory for CrewAI agents. Define a task, let the agent query it.
⏱ ~10 min ● CrewAI platform users
View guide →
REST
REST API
Works with every language and platform.
Get your key, make a curl call. Full endpoint reference, every request/response example.
⏱ ~3 min ● Any developer or platform
View guide →
Sidecar
FastAPI Sidecar
Natural language CTI queries from Python agents.
Docker Compose one-liner. Connect via HTTP, resolve aliases, traverse relationships.
⏱ ~10 min ● Python agents, custom runtimes
View guide →
On this page

Quick reference

Integration Package / Setup Best for Time
MCP @threatrecall/mcp-server Claude Code, Cursor, Goose ~5 min
LangChain @threatrecall/langchain-adapter LangChain JS, CrewAI ~10 min
CrewAI CrewAI memory interface CrewAI analyst agents ~10 min
REST API Any HTTP client Any language or platform ~3 min
FastAPI Sidecar Docker Compose Python agents ~10 min
Quickest setup
MCP guide
→
Most flexible
REST API guide
→
For AI pipelines
LangChain guide
→