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"Information about Open Source Intelligence (OSINT)" matching MCP servers:

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    An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.
    33
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    MIT
  • F
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    Provides Cursor-like code intelligence using tools like ripgrep, ctags, and tree-sitter to help LLMs explore and understand entire codebases. It implements a structured, phase-gated workflow to ensure high-confidence code modifications and eliminate hallucinations.
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    Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.
    5
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    MIT
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    MCP server for StampUI that lets AI coding agents browse the block registry and install blocks as real .tsx source files.
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    MIT
  • F
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    Local-first code intelligence for AI coding assistants: MCP tools, symbol graph search, impact analysis, and auto-index watch for Cursor, Claude Code, and Codex.
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    An open-source MCP server that connects your IDE or AI assistant to the Codex CLI, enabling non-interactive automation with codex exec, safe sandboxed edits with approvals, and large-scale code analysis via @ file references.
    8
    34
    MIT
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    A semantic context compiler MCP server that provides stratified L0-L3 code context with exact-source escalation, enabling project analysis, symbol contracts, exact source retrieval, and a patching workflow with sandbox validation.
    29
    MIT
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    Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.
    3
    MIT
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    Local-first code intelligence and safety layer for AI coding agents. MCP server exposes dependency graph, impact analysis, and AST-compressed repo context, backed by typed local memory, patch-scope safety gates, and git-independent transaction rollback.
    1
    MIT
  • A
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    A local project intelligence, batch coding, and self-learning engine for Codex that enables task-level batch coding, reduces token usage, and automatically learns skills.
    Apache 2.0
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    Enables coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.
    18
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    MIT
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    Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.
    MIT