"Assistance with Generating Code for Graph Visualization" matching MCP servers:

A high-performance code knowledge graph server implementing MCP, indexing codebases into a structured AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing.

MCP server that provides intelligent student assistance tools for academic calculations, attendance tracking, marks analysis, and syllabus reading via Groq LLM.

Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.

Enables AI agents to search and resolve Japanese legal provisions, inspect related laws and concepts, and traverse source-grounded relationships with explicit coverage and read-only access.

Provides Claude Desktop with persistent, structured memory and semantic search via a local SQLite knowledge graph, plus a web UI for visualization and management.

MCP server that enables full-text search and link navigation over Markdown files as a knowledge graph.

Enables semantic search over codebases using natural language queries, returning relevant code snippets with source locations. Integrates with Claude Code for automatic codebase exploration.

MCP server that exposes unified AI-friendly tools over Messari's standardized lending subgraphs on The Graph. One natural-language query → fan out across 40+ lending protocols on multiple chains → get back structured, comparable data.

An MCP server for HF radio propagation analytics using the IONIS dataset collection, enabling natural language queries about band conditions, propagation paths, and solar correlations.

MCP server that tracks and searches Microsoft Graph API schema changes, permissions, and roles, with historical data and an interactive schema visualizer.

Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.

An MCP server that enables querying Polymarket prediction market data through The Graph subgraphs. It provides tools for accessing market stats, trader P\&L, user positions, and orderbook activity using AI agents.

Enables Claude to list directories, read text files, and search code within a designated read-only project folder, while skipping common dependency folders and blocking sensitive files.

A knowledge graph MCP server providing persistent, structured memory for AI assistants with multi-agent isolation, tiered search, and index navigation.

Enables agents to perform local hybrid code search and code intelligence across a workspace, including semantic and full-text search, symbol lookup, file outlines, and caller analysis.

Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.

Enables fast, targeted queries against an Obsidian vault knowledge graph using tools like search, neighbor traversal, and pathfinding, without needing to load the full graph into LLM context.

Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.

Enables AI agents to crawl live websites, audit AEO readiness, generate Schema.org @graph JSON-LD, llms.txt, ai.txt, and robots.txt, inject structured data into HTML, validate optimizations, and retrieve framework-specific code snippets.

Enables semantic search of the KJV Bible and personal knowledge graph for scripture study, notes, prayers, and memory verses, all running locally with no cloud dependencies.

Enables persistent, intelligent memory across sessions using a weighted, interconnected graph that evolves through conversation.

MCP server for semantic code search and dependency graph analysis. Indexes codebases into a knowledge graph with vector embeddings for AI-powered code understanding.

Enables agents to look up Indiana state statutes by citation, run full-text topic searches, and retrieve historical per-year annual editions of the code, with amendment-history notes split out from section text. Covers all 37 Indiana Code titles from the official state legislature source without requiring an API key.

Provides access to 529,000+ US statute sections across all 50 states and federal codes for comprehensive legal research. Supports semantic search, citation graph traversal, jurisdictional comparisons, and regulatory risk analysis through natural language queries.

Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.

Semantic + lexical code search as an MCP server. Agents query in natural language and get back ranked file:line ranges to read precisely.

Enables AI agents to find public GitHub repositories matching plain-language project descriptions, filter low-quality results by ranking, and fetch a repository's README.

Enables AI agents to look up Delaware state statutes by citation, retrieving full section text along with amendment history, and to run real full-text searches across the entire statutory code.

A personal memory MCP server for Obsidian/markdown vaults that provides hybrid retrieval (semantic, keyword, tag, time-aware co-occurrence) and is shared across multiple AI clients.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.