LangGraph is a library for building stateful, multi-actor applications with LLMs. It extends LangChain with a flexible graph system to coordinate agent workflows.
Offers a LangGraph checkpoint saver that persists agent state and memories with AES-256-GCM encrypted storage via the synapse-layer-langgraph integration.
Enables Claude Code to query and control the SuperInstance fleet, including fleet status, conservation law checks, semantic search, and agent registry.
8
10 npm
MIT
Why this server?
Allows LangGraph agents to interact with KumoRFM for executing predictive queries, evaluating models, and managing graph metadata.
Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.
12
26 PyPI
34
MIT
Why this server?
Provides business intelligence KPIs, health scores, forecasting, and anomaly detection tools that can be used by LangGraph agents.
Production Model Context Protocol (MCP) server for business — replaces stale generic descriptions with concrete 2026 technical intelligence and data agents. Exposes dynamic KPI analytics, forecasting, anomaly detection, and schema resources across 10 enterprise domains via FastMCP over stdio and SSE transports.
2
9
AGPL 3.0
Why this server?
Provides a drop-in CCSStore adapter for LangGraph that adds read-side coherence and stale-write prevention via MESI protocol.
Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified.
6
129 PyPI
11
Apache 2.0
Why this server?
Integrates with LangGraph, allowing LangGraph agents to retrieve options market data including gamma curves, GEX by strike, and trade setups.
Enables AI agents to discover and retrieve options market-structure data (GEX, gamma flip levels, dealer positioning, skew, max pain, expected-move levels, options flow, and ranked trade setups) from Trading Volatility's public API via natural language.
17
1
MIT
Why this server?
Provides a callback handler integration to trace LangGraph workflows for observability.
MCP-native LLM observability. Query your Spanlens traces, stats, cost anomalies, and savings from Cursor, Claude Desktop, or any MCP client. Open source (MIT).
7
13
MIT
Why this server?
Enables LangGraph agents to submit review requests and receive human decisions via the Gatewerk Python SDK.
The open-source review layer for AI agents. Work done for humans is decided by humans.
18
19 npm
1
AGPL 3.0
Why this server?
Provides an adapter that drops into LangGraph agent execution nodes to guard tool dispatches before they run, raising a CircuitBreakerException when a tool call (e.g. a bash command with shell injection) is halted by AST containment rules.
