Mirror of https://github.com/vivekVells/mcp-pandoc

Mirror of https://github.com/myownipgit/RapidAPI-MCP

Mirror of https://github.com/loglmhq/mcp-server-prometheus

Mirror of https://github.com/emiryasar/mcp_code_analyzer

Mirror of https://github.com/sirmews/apple-notes-mcp

Mirror of https://github.com/tanigami/mcp-server-perplexity

Mirror of https://github.com/xtuc/mcp-workers-ai

Mirror of https://github.com/tzafrir/mcp-server-replicate

Mirror of https://github.com/chatmcp/mcp-server-collector

Mirror of https://github.com/alexwohletz/language-server-mcp

Mirror of https://github.com/patruff/claude-mcp-setup

Mirror of https://github.com/kaichen/mcp-config-editor

Mirror of https://github.com/spullara/mcp-server

Mirror of https://github.com/kazuph/mcp-pocket

Mirror of https://github.com/varunneal/spotify-mcp

Lightweight Notion todo manager enabling Claude-driven prompts with a minimalist three-property schema for simple add/view/complete tasks.

Lightweight proxy enabling Claude Desktop to connect SSE-based backends via a transparent transport bridge.

Self-hosted MCP server enabling LLMs to securely access local Home Assistant data via token-based MCP, with Smithery and manual setup.

Unifies LinkedIn feeds and job data via an unofficial API for programmable, seamless access.

Multi-language MCP server that builds dependency graphs, infers architectures, and scores codebases with detailed file metadata.

Vector-powered documentation search with multi-source indexing and real-time context augmentation for AI assistants.

Downloads and parses Substack posts, extracting title, author, subtitle, and content, with Claude AI desktop integration.

OR-Tools-powered JSON modeling enables LLMs to submit, validate, and optimize constraints with CP-SAT integration.

Parses XMind mind maps and exposes a flexible toolset for multi-file analysis, advanced search, task extraction, and cross-file comparisons. It emphasizes secure directory access, fuzzy matching, and hierarchical navigation to empower developers and data scientists building knowledge graphs from mind maps. Designed for scalable workloads and MCP SDK integration.