Directory

MCP servers

Reviewed resources in MCP servers. 734 resources listed.

734 listings in MCP servers

  • mcp-log-proxy

    github.com

    mcp-log-proxy is a small web-based logging proxy that sits between an MCP client and server over stdio, so a developer can watch every message passed between them in a browser while debugging an MCP integration.

  • Markdown Vault MCP

    pvliesdonk.github.io

    Markdown Vault MCP is a generic MCP server that exposes a folder of Markdown notes, such as an Obsidian vault, to an AI client with hybrid keyword and semantic search, frontmatter-aware filtering, and optional write tools for editing the vault directly.

  • This repository is a pinned, tested distribution of the upstream Crawl4AI web-crawling toolkit, packaging its native MCP server behind Docker Compose with setup and deployment guidance rather than shipping a custom MCP implementation.

  • Agent News

    theagenttimes.com

    Agent News is a free, unauthenticated MCP server that gives an AI agent access to a curated feed of verified, cryptographically signed news articles about the AI-agent and MCP ecosystem, each tagged with a confidence level and a provenance signature.

  • Roku Dev Studio

    paramount-engineering.github.io

    Roku Dev Studio is a cross-platform desktop application for Roku channel developers that wraps remote control, app sideloading, a debug console, BrightScript debugging, network inspection and an MCP server for AI coding agents into one GUI and one CLI.

  • Cursor History MCP is an MCP server that lets an AI assistant search, inspect and export a user's existing Cursor chat history, turning months of past decisions, bug fixes and architecture discussions into context the assistant can query.

  • Synaptic Memory

    github.com

    Synaptic Memory is a knowledge-graph and MCP tool server for LLM agents that builds a graph of documents, chunks, database rows and their relations instead of only chunk embeddings, so an agent can follow relations rather than rely on similarity search alone.

  • This Azure sample demonstrates building an AI agent integration end to end: a serverless pizza-ordering API, an MCP server exposing that API to agents such as GitHub Copilot and Claude, and a live dashboard, all runnable locally without any cloud cost.

  • zerikai_memory

    github.com

    zerikai_memory is a standalone, local-only Python MCP server that gives any IDE persistent, workspace-isolated memory of a codebase's entities, built with deterministic tree-sitter parsing rather than an LLM-driven index.

  • PromptChain

    github.com

    PromptChain is a pip-installable library and MCP server for explicitly loading, unloading, pinning and swapping local language models across LM Studio and Ollama, plus a small Streamlit app that chains a drafting model into a coding model with a human review step in between.

  • JW MCP Server

    github.com

    JW MCP Server is an MCP server exposing JW.org content - Bible scripture lookup with study notes, workbook materials, Watchtower articles and video captions - to AI assistants such as Claude, ChatGPT and Grok.

  • dsh-mcp-connector is a management panel for the DeepSeek Harness agent tool that lets a user connect, search and troubleshoot Model Context Protocol servers from a catalog, with OAuth 2.0, API key and JSON import support.

  • DSA Context Engine

    deepseekagents.com

    DSA Context Engine gives AI coding agents a persistent memory that unifies code structure, tasks and past conversations into a single graph, served locally to Claude Code, Codex and other agent CLIs over MCP.

  • CodexA is a local semantic code intelligence CLI that indexes a codebase, builds embeddings and a BM25 index, and exposes structured search, retrieval-augmented answers and repository analysis to AI coding assistants over HTTP, CLI or MCP.

  • BlueRock is a lightweight runtime security sensor for Python processes and MCP servers, recording tool calls, session lifecycle events, module imports and subprocess execution as structured logs with no code changes.

  • Shebe

    gitlab.com

    Shebe is a fast, local BM25 full-text search tool for cloned code repositories, exposed to AI coding agents through an MCP server and a CLI, with no embeddings, GPU or cloud dependency.

  • RemembrallMCP

    roboticforce.io

    RemembrallMCP gives AI coding agents whole-codebase knowledge: a field-aware dependency graph of functions, classes, methods and fields, plus persistent memory that survives between sessions, exposed to agents over MCP.

  • RAMen

    github.com

    An in-memory data store that speaks the Redis wire protocol as a drop-in cache, while adding native vector search, semantic caching of AI answers by meaning, and a built-in MCP server so agents can use it as a tool directly.

  • MCPMate

    mcp.umate.ai

    A local-first MCP management center that lets a developer import server connections once and reuse them across Claude Desktop, Cursor, Codex, Zed, VS Code and other MCP clients, with per-client tool trimming and scene profiles.

  • Engram

    engrammemory.ai

    A self-hosted, three-tiered memory system for AI agents that stores and semantically searches memories through a bundled Qdrant and FastEmbed container, exposed over MCP with no API keys or cloud dependency.

  • droid-mcp

    github.com

    An Android SDK that gives large language models typed, structured access to phone capabilities such as calendar, contacts, SMS and sensors through the Model Context Protocol, with everything staying on the device.

  • Bilig

    proompteng.github.io

    A TypeScript-native, headless spreadsheet-workbook runtime for Node.js services that edits inputs, recalculates formulas, reads outputs and persists WorkPaper JSON, with MCP tools for AI agents.

  • ToolFunnel

    github.com

    A dependency-free MCP and local tool gateway that curates and forwards tools from multiple MCP servers into one leaner interface, gates every call through a user's own policy hooks, and can package new MCP servers with no code.

  • An MCP server that gives AI assistants semantic search over a local Qdrant vector database, with AST-aware codebase indexing, git history search, hybrid keyword and vector search, and support for several embedding providers.