Scaffold a new spec-driven LangGraph project by generating spec.yaml, nodes.py stub, and __init__.py.
MIT
720,168 tools. Updated 2026-10-29 16:40
"LangGraph" matching MCP tools:
- Convert a structured YAML spec into idiomatic LangGraph Python code using deterministic Jinja2 templating. Blocks on spec validation errors to guarantee consistent output.MIT
- Execute a LangGraph-powered NestJS agent for processing user requests. Optionally select between OpenAI or Ollama providers and customize the model.ISC
- Search local LangGraph documentation for relevant excerpts, source URLs, and cosine similarity scores to answer semantic queries.-
- Find curated coding examples by free-text query, ranked by relevance, with optional filters for principle, difficulty, library, or pattern family — returning summaries, metadata, and source-code links.MIT
- Convert a JSON agent trace into an EvalCase payload for immediate scoring without re-running the agent. Supports LangGraph, OpenAI Agents, and manual frameworks.Apache 2.0
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceEnables MCP-compatible hosts to retrieve LangGraph documentation through retrieval-augmented generation, with source attribution for responses.-
- FlicenseNot gradedqualityCmaintenanceEnables retrieval-augmented question answering over LangGraph documentation, allowing MCP-compatible hosts to query a semantic vector store and receive context-aware responses with source attribution.-
Matching MCP Connectors
LLM Orchestration Agent (Langgraph)
Cross-agent artifact workspace with provenance across Claude Code, Codex, Cursor, LangGraph.
- Scan Python multi-agent orchestration (LangGraph, CrewAI, AutoGen) for excessive agency: detect indirect access to dangerous tools via delegation.MIT
- Scan a single Python file to find excessive-agency paths in LangGraph, CrewAI, or AutoGen orchestration constructs; helps auditors detect risky agent permissions.MIT
- Search a dated AI-knowledge base for accumulated findings on agents, LLMs, evals, and context engineering. Returns rank-ordered cards for quick, grounded answers without live web or LLM synthesis.MIT
- Apply multiple graph spec edits in a single atomic call, adding or removing nodes, edges, and state schemas at once.MIT
- Answer AI-engineering decision questions with grounded, current, cited evidence from the knowledge base and live web searches, tracing each claim to its source.MIT
- Search a portfolio for projects by technology, such as 'LangGraph' or 'React'. Determine if a person has experience with a given tool.MIT
- Generate a personalized therapy plan from session audio embeddings and metadata. Returns a therapy session ID for asynchronous retrieval of the completed plan.MIT
- Look up a third-party AI model or tool's public Trust Index score, certification, and incident history before invoking it. Returns known: false when no record exists, so agents can gate trust before calling.MIT
- Find MCP client configuration and setup instructions for any supported provider, or list all providers.MIT
- Retrieve the full current spec for a LangGraph project when you need the complete picture after incremental edits.MIT
- Adds ioa-observe-sdk instrumentation to Python AI agent files, inserting Observe.init(), SDK imports, and decorators for LlamaIndex, LangGraph, CrewAI, and OpenAI SDK agents, while backing up the original file.Apache 2.0
- Statically analyze LLM-agent workflows to identify runaway budget risks and missing token caps before deployment. Get a worst-case budget summary with pass/fail verdict.MIT
- Scan a Terraform plan JSON to identify security issues, receive severity ratings, suggested fixes, and corpus citations for remediation.Apache 2.0
- Return server status and default model configuration to confirm the MCP server is running correctly.ISC
- Research AI agent frameworks from LangGraph to MCP, including tools, monetization, and best practices, with synthesized citations.MIT