"FIRST" matching MCP servers:

locidx

Local-first, zero-egress security scanner for AI-generated / "vibe-coded" JS/TS. Bundles Opengrep, Gitleaks & Trivy behind one CWE-keyed schema and adds AI-code-specific checks (client-side secret exposure, Supabase RLS, prompt-injection & LLM-output XSS sinks). No account, no telemetry.

Provides read-only, provenance-first repository navigation for agents and humans, with ranked lexical retrieval, exact query, document handles, symbol context, and change impact analysis.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

MCP server for local-first lexical code search, providing tools for searching code, finding symbols, and reading chunks from indexed repositories.

A read-only MCP tool that provides local-first, source-backed repository context for coding agents, returning metadata and a bounded read plan without requiring full file reads.

Enables local-first task contract generation and drift/sludge guard checks for coding tasks, with CLI and VS Code extension support.

Local-first MCP server for semantic C# analysis, navigation, validation, and refactoring using Roslyn on real .NET workspaces.

Enables AI agents to efficiently read Python code by first providing file skeletons then fetching only needed implementations, reducing noise and cost.

Local-first code intelligence MCP server that enables coding agents to search code, inspect structure, read exact ranges, and explore Git history with explicit token budgets.

Local-first MCP server that scans a repository once and answers architecture questions from an evidence-backed graph, enabling dependency analysis, impact analysis, and codebase exploration without re-reading the source tree.

Deterministic, local-first repository context for coding agents. Maps an issue, prompt, or git diff to ranked files to read first, likely test commands, and review-risk notes—no API key required.

Local-first repository memory for AI coding agents that indexes codebases into SQLite and exposes it through MCP tools, with a browser dashboard for architecture inspection.

Enables local-first codebase intelligence, allowing chat, search, and audit operations on any repository with file:line citations, and supports offline deterministic modes without an LLM.

Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.

Enables AI agents to interact with a local-first git client that provides a knowledge graph of the repository, including graph analysis, issue and proposal management, and architectural review.

MCP server for local-first code intelligence, providing structural code graph, semantic search, and impact analysis to AI agents.

A hybrid search MCP that enables users to find coding chunks like RAG without indexing their codebase, without any vector database. World's first context attention MCP. It gives results in below 5 seconds in a repository as big as VS Code.

Local-first cross-service code intelligence engine for AI agents, connecting frontend, gateways, backend services, and databases to enable impact analysis and change planning.

Ultra-lightweight, local-first MCP server for AI-powered code intelligence, providing AST-based analysis and 20+ tools while ensuring zero data leakage.