Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.
Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.
Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 83 tools for design automation: styles, variables, components, prototypes, and content.
CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.
Enables searching and retrieving information from Slack messages, threads, files, canvases, and user profiles using a User Token, with advanced filtering capabilities.
Provides 23 bounded MCP tools for AI agents to perform technical SEO audits, including crawl setup, page analysis, issue detection, and report exports, all while keeping data local.
A Model Context Protocol server that gives AI assistants access to your self-hosted Audiobookshelf library, enabling queries about current listening, searching, and browsing.
A read-only MCP server that exposes a self-hosted Atlassian Bamboo instance to AI assistants, enabling natural language queries about builds, deployments, and plan status.
An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret.
Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not
prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB
identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output
Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.
Operations toolchain for SQLite, Cloudflare D1, and Turso. Every command is available as both a CLI and an MCP tool: inspect, diff, migrate, monitor, back up, and repair databases. 22 stdio tools, read-only by default.
Scans source code for possible Korean compliance risks (PIPA, Network Act, Credit Information Act, E-Commerce Act) and maps findings to specific legal provisions. Runs locally, exposes MCP tools for scanning and law lookup, and does not constitute legal advice.
That's hedged (matches the project's "possible risk / not legal advice" rule), keyword-rich for search, and names all four laws.