LangGraph is a library for building stateful, multi-actor applications with LLMs. It extends LangChain with a flexible graph system to coordinate agent workflows.
Enables LangGraph agents to use structured graph queries for dependency analysis, prerequisite chains, and blast radius computations as part of agent workflows.
A Compact Knowledge Graph MCP server providing pre-structured domain knowledge as a routing layer for agent stacks, enabling efficient structural queries (e.g., prerequisites, dependency chains) without hallucinations.
Last updated
16
4
3
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.
Last updated
12
33
MIT
Why this server?
Integrates with LangGraph for stateful agent workflows with conservation-law governance, fleet telemetry, and compute budget enforcement.
Enables Claude Code to query and control the SuperInstance fleet, including fleet status, conservation law checks, semantic search, and agent registry.
Last updated
8
8
MIT
Why this server?
Secures tool node execution and graph states in LangGraph agents.
Local zero-trust permission gateway for AI agents. Enforces policy-based tool authorization, human approvals, scoped permissions, and cryptographically verifiable audit logs.
Last updated
4
6
Apache 2.0
Why this server?
Integrates with LangGraph agents to provide an immutable event log and graph-based memory for session isolation, conflict review, and hybrid retrieval.
Zaxy turns agent work into durable, auditable memory: a hash-chained Eventloom log as the source of truth, an embedded temporal knowledge graph for reasoning (local-first, no sidecar; Neo4j/Postgres optional), cited Memory Checkout for compact context, and MCP tools for model-facing retrieval, capture, and feedback.
Last updated
8
13
MIT
Why this server?
Integrates with LangGraph through a drop-in adapter, enabling LangGraph agents to leverage SAIHM's persistent encrypted memory for stateful interactions.
Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.
Last updated
3
45
1
Apache 2.0
Why this server?
Facilitates execution trace visualization and behavioral diffing for stateful LangGraph agentic workflows.
MCP server that lets coding agents test AI agents. Create YAML test cases, snapshot golden baselines, check for regressions, and generate visual reports all from inside Claude Code or any MCP-compatible tool. Works with LangGraph, CrewAI, OpenAI, Claude, Mistral, and any HTTP API.
Last updated
10
24
117
Apache 2.0
Why this server?
Supports building complex AI agents in LangGraph by providing specialized tools for document analysis and data transformation.
Agent Toolbelt is an MCP server exposing 11 focused API tools for LLM agents — schema generation, text extraction, token counting, CSV conversion, Markdown conversion, URL metadata, regex builder, cron expressions, address normalization, color palettes, and brand kits. Each tool is a focused microservice with structured input/output, WCAG-scored color data, USPS address parsing, and multi-model to
