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Code Analysis

Tools for static analysis, code intelligence, and code understanding. Provides capabilities for parsing, analyzing, and gaining insights into codebases across different programming languages.

MCP ServersBrowse all →

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    MCP server that scans Salesforce Agentforce metadata for security vulnerabilities using 61+ SAST rules, integrating into AI coding workflows to guard against OWASP LLM top 10 risks.
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    Cryptographic Autonomy 1.0 (Combined Work Exception)
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    A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.
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    MIT
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    Standard coding agents waste 70% of context tokens re-reading raw files with shell grep. Synapse-MCP indexes your codebase into a sub-millisecond local AST graph—giving Claude Code, Cursor, and Windsurf exact caller trees, 60% lower token spend, and zero-hallucination refactoring.
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    MIT
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    LLM-native code tools: 44 MCP tools for AI agents to read, understand and modify code. Rust tree-sitter parse daemon (crash-isolated), SQLite symbol index (repo map 98ms), transactional journal-backed writes, deterministic quality gates (zero LLM calls). 512MB cgroup: 128 concurrent, zero OOM. MIT.
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    MIT
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    Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.
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    MIT
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    Allows developers to query security findings (SAST issues, secrets, patches) using natural language within AI-assisted tools like Claude Desktop, Cursor, and other MCP-compatible environments.
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    MIT
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    MCP server that provides AI assistants with structured access to codebases via LogicStamp Context, enabling component analysis, dependency graphs, drift detection, and token-optimized context delivery.
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    MIT
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    Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.
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    Apache 2.0
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    Enables AI assistants to perform read-only introspection of Symfony applications, exposing routes, controllers, services, entities, database schema, migrations, logs, and more via MCP tools.
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    MIT
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    ocal-first, read-only MCP server that audits repository test architecture across ten language ecosystems. It returns deterministic evidence-backed findings, blockers, rankings, and repository-native test plans without modifying source files.
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    MIT
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    JSON Contracts is a local MCP server for transforming natural language into Git-controlled JSON contracts, JSON Schema validation, and structured LLM/agent outputs.
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    Apache 2.0
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    Interact with CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
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    Mozilla Public 2.0
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    Enables AI agents to interact with IDA Pro databases and GUI, supporting reverse engineering tasks such as analyzing binaries and querying open files via natural language.
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    MIT
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    Enables MCP-native multi-agent security audits for Google Antigravity, orchestrating subagents for 0day research, static analysis, PoC verification, exploit chaining, reporting, and code remediation.
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    MIT
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    Code dependency graph and AI context engine. 10 MCP tools that give Claude, Cursor, and any MCP client full codebase context — impact analysis, dependency tracing, architecture summaries, and interactive arc diagram visualization. Supports TypeScript, JavaScript, Python, and Go.
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    Business Source 1.1
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    Contract-first programming language with a local MCP server for checking types, effects, capabilities, and contracts in agent-written modules. Its review tool compares before and after source sets and returns receipts for new authority, weaker promise tiers, and new Guarded runtime obligations.
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    Apache 2.0

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