"Intel" matching MCP servers:

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

Provides a single code_intel MCP tool that autonomously manages zvec-grep, CodeGraph, and Serena LSP backends to enable semantic search, architecture analysis, impact assessment, symbol references, implementations, and diagnostics for local codebases.

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.

MCP server for persistent code exploration and diff-aware review, exposing explore and review tools to map call paths, blast radius, and generate explainable risk-scored reports.

Autonomous competitive intelligence tracking competitors across LinkedIn, news, reviews, job postings, and regulatory signals, generating executive briefs and sales battlecards.

MCP server for China-to-Indonesia outbound intelligence ingestion, enabling source discovery, candidate review, event confirmation, taxonomy management, stats analysis, fact-checking, and CSV export.

Enables users to scan MCP servers for security threats, check installed servers, and analyze config files for risks, all from AI assistants like Claude, Cursor, or Windsurf.

Provides npm/PyPI package intelligence including health scores, vulnerabilities, dependency graphs, and download counts via an MCP server, with optional pay-per-call access over x402 for advanced health and batch endpoints.

Enables efficient codebase exploration with tools to list exports, get file outlines, read targeted regions, and find references without loading entire files.

Enables building a scored, searchable swipe file from public Meta Ads Library research, with tools to generate new ServiceHawk ad copy from winning patterns.

Provides live App Store and Google Play data as MCP tools, enabling search, app details, reviews, charts, estimates, and more through natural language.

MCP server that gives AI agents deep code understanding across multiple git repositories, combining git lifecycle management, Zoekt-based trigram code search, and cross-repo dependency analysis.

Enables AI agents to search live public X/Twitter posts and fetch recent posts from user profiles without API keys, using zero-configuration local MCP tools for Claude, Cursor, and Pi.

Enables any MCP client to score, rank, tag, and cluster user-supplied video candidates using a competitor-intelligence engine that blends velocity, outlier, engagement, and demand-gap signals into an opportunity score. It performs no fetching itself and needs no API key, so callers bring their own candidate data and receive annotated, sorted results.

A lightweight MCP server that analyzes Git repository history and provides insights through AI-compatible tools. It supports hotspot detection, contributor analysis, and code churn tracking.

A self-owned deal memory layer that turns meeting notes, emails, and calls into structured deal signals for solo founders and early teams.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Exposes precomputed asset research and rubric summaries for analyst agents, enabling lookup of asset summaries and full research reports via simple queries.

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.