"Personalized Summary Service" matching MCP servers:

Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)

An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

Enables semantic code search by matching natural-language questions against LLM-written summaries of every function and returning pointers (symbol, file, line range) instead of source code. Supports summary, raw-code, and hybrid search modes across Python, Go, TypeScript/TSX, JavaScript, and C++ repositories.

Allows AI assistants to access and analyze your Cursor conversation history, enabling personalized coding assistance based on your actual development patterns.

Provides compiler-grade TypeScript symbol renaming and file/directory move planning through the TypeScript Language Service, returning structured edit plans without modifying files.

MCP server that scans Next.js projects and returns a compact summary of routes, API endpoints, schema, and security issues.

Provides offline repository health analysis, including metadata, weighted health score, and summary, for MCP-compatible clients.

A local-only MCP server for understanding Git repositories, offering repository summary, recent changes, file hotspots, and hygiene checks without network access.

Enables AI assistants to search code summaries using Chinese business terms, with support for semantic search and PRD linkage.

Exposes TypeScript language service tools (completions, go-to-definition, type info, diagnostics) via MCP for use by AI or IDE clients.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

Enables scanning repositories for hardcoded service URLs and clients, and building service-to-service API dependency maps.

An MCP server that enables users to store and retrieve personalized coding patterns, serving as a persistent memory layer for LLM agents. It allows AI models to generate code and refactor projects according to a user's specific styles, technologies, and established development conventions.

Enables AI agents to safely upgrade JavaScript and TypeScript projects through dependency analysis, upgrade path detection, breaking change identification, codemod application, and PR summary generation.

Provides tools for mapping and analyzing GitHub repositories. It allows users to set a GitHub Personal Access Token and retrieve detailed information about a specified repository, including its structure and summary statistics.

A specialized code review service that provides 36+ critics for different programming aspects and 3 fixing strategies to automatically address identified issues in a two-step workflow.

Enables coding agents to navigate and score brownfield multi-service flows by mapping use-case trees, tracing loadouts and consumers, and detecting drift.

Generate and manage diagrams (class, ER, sequence, architecture) directly from code in Cursor IDE using RapidChart's AI-powered diagramming service with support for multiple AI models.

An MCP server that gives AI assistants deep understanding of your local Git repositories, providing instant repo overviews, change summaries, blame analysis, changelogs, branch health checks, and history search.

Multi-model AI code review with structured debate. OpenAI, Gemini, Grok, and Claude review your code in parallel, then an anonymized arbitration produces a single consensus summary.

Provides MCP tools for common developer operations like file outlining, git commit context, test summary, process management, and waiting for conditions, returning structured JSON to reduce token usage.

Enables AI agents to compare two texts line-by-line and receive a structured diff with additions, deletions, unchanged lines, and summary statistics, paid per call via x402 micropayments.

Enables clients to analyze per-file authorship and review data, identifying single-author and never-reviewed files and returning a deterministic risk map with at-risk paths and summary counts.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Provides knowledge extraction and cross-repo analysis tools for multi-repository organizations. It enables users to query type definitions, service dependencies, and infrastructure configurations across an entire organization's codebase.

Enables cross-repository architecture discovery and dependency routing across multi-service codebases, with automated scanning and batch AST indexing for AI agents to trace request lifecycles and navigate service boundaries.

Enables agents to generate a JSON sitemap of how a path through a TypeScript/JavaScript codebase runs, capturing the summary, areas, every step with its file, lines, description, calls and data, and the links between services. The resulting document can be opened in a viewer that draws the same map as a single page, and rebuilt in CI to keep system documentation current.

Enables agents to refactor source code and extract structured code summaries, plus generate interview questions and query 5G NWDAF analytics through MCP tools.

Unified SAP MCP server combining SAP documentation search, ABAP linting, and BTP service exploration into a single extensible ecosystem for AI assistants.

A local read-only MCP server for Unity projects that provides ranked code search, C# symbol analysis, references, and snippets without sending project files to a hosted indexing service.