MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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Create a codebase snapshot an LLM can read: budgeted Markdown parts for Claude, ChatGPT and Cursor, a manifest of every included and skipped file, secret redaction, and validate, which fails when the snapshot drifts. Local CLI and MCP server.
npm MIT -
Local CLI and MCP server that packs a repository into budgeted Markdown parts, writes a manifest of every included and skipped file with the reason, masks secrets in place, and exits non-zero when the snapshot drifts. For Claude, ChatGPT, Cursor and CI.
npm MIT ★ 2 -
vibecode-projectgithub.com/joejamal029/vibecode-projectupdated this year
VibeCode creates cryptographically verified Digital Twin snapshots—immutable PDFs that serialize entire codebases with full restoration. Powered by large-context LLMs, it combines multi-agent workflows (file selection, context generation, tool orchestration) with semantic RAG, security quarantine, and bidirectional MCP integration. Code as data.
Apache-2.0 -
agentmakogithub.com/drhalto/agentmakoupdated this year
Agentmako is a local project intelligence CLI and MCP server for codebases and databases, with repo-aware indexing, schema snapshots, and secure live database connectivity.
npm Apache-2.0 -
Contextualno update data
## Contextual — Persistent Memory for AI Coding Agents AI coding agents forget everything the moment your session ends. **Contextual** fixes that by giving any MCP-capable AI client — for developers who use multiple AI coding tools at once — a real, persistent memory of your codebase: not just what the code says, but what changed and why. It's a **local-first MCP server**: your code, your index, and every query stay on your machine. The only network call is a lightweight, infrequent license check — no code, ever, leaves your device. Under the hood, Contextual builds a real understanding of your repository, not a text-similarity guess: - **Structural search** — tree-sitter AST parsing + call-graph resolution, so agents reason about how your code actually connects. - **Bitemporal history** — tracks not just when your code changed, but when the AI learned about it. Ask "did this bug fix happen before or after the agent's understanding of this function?" and get a real answer. - **Git-aware retrieval** — temporal, history-grounded context instead of a stale snapshot. - **Fast, self-contained** — index a 50k-line repository in about 5 minutes, then query it in ~94ms median, from a single ~0.8GB install. This extension connects Claude Desktop (or any MCP-capable client) to a Contextual installation already set up and activated on your machine — it does not provision Contextual from scratch.
smithery