Packages
25784 resultsnapi

NornicDB
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omen
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onecite
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parinfer-mcp-server
Provides an MCP (Model Context Protocol) server that exposes a tool to fix/match parentheses and brackets in Clojure code using parinfer’s indent-mode rules.
public-ui/kolibri
roampal-core
roampal-core is a Python MCP server plus a local HTTP hook/service that injects relevant long-term and outcome-scored memory into AI coding assistants (Claude Code and OpenCode). It also scores prior exchanges, promotes good advice, demotes bad advice, and supports ingesting reference documents for retrieval via semantic search across multiple memory collections.
scheduler-mcp
Provides an MCP (Model Context Protocol) server that lets clients schedule and manage automated tasks using cron expressions. Tasks can include shell commands, HTTP/API calls, AI prompt executions (via OpenAI), and desktop reminders/notifications. It persists tasks/execution history in a SQLite DB and can run over stdio or SSE (HTTP), including an auto-discovery endpoint for MCP schema.
strands-mcp-server
Provides an MCP server and client integration for Strands Agents, exposing agent tools to MCP-compatible clients (via HTTP or stdio) and allowing Strands agents to connect to remote MCP servers. Includes a CLI for running locally or proxying to an upstream MCP server.
testkube-mcp
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thoughtful-claude
A Python MCP server intended to route Claude tool calls to DeepSeek's reasoning model (DeepSeek R1) to provide enhanced multi-step reasoning, with streaming support and wrapping of returned reasoning in <ant_thinking> tags.
ultimate_mcp_client
ultimate_mcp_client is an asynchronous Python client for the Model Context Protocol (MCP) that connects AI clients to MCP servers over multiple transports (stdio, SSE, streaming-http). It provides an interactive CLI and a reactive web UI, including server discovery/management, robust stdio handling, streaming of model output and tool interactions, conversation branching with persistence, optional caching, and observability via OpenTelemetry.
vscode-demo-time
Demo Time - The extension to present and perform live coding demos with confidence.
webmcp-react
Provides React hooks/components (<WebMCPProvider>, useMcpTool) that expose typed tools to WebMCP via navigator.modelContext in a transport-agnostic, SSR-safe way. It uses Zod-first tool input definitions with optional JSON Schema fallback, and includes a polyfill for environments without native WebMCP. Tools can dynamically register/unregister with React lifecycle and supports annotations and execution state via the hook.
whatsapp-mcp
An MCP server that bridges an AI client (e.g., Claude Desktop/Cursor) to WhatsApp by letting the agent search contacts and chats, read message history from a local SQLite store, and send text and media via a locally running WhatsApp “bridge” (Go) and webhook forwarding for incoming messages.
yargi-mcp
Provides a Model Context Protocol (MCP) server for accessing Turkish legal/decision sources (e.g., Yargıtay, Danıştay, Uyuşmazlık Mahkemesi, Anayasa Mahkemesi, KİK, Rekabet Kurumu, Sayıştay, KVKK, BDDK, Sigorta Tahkim) with searchable tools and document retrieval (mostly returned as Markdown, with some pagination/long-text chunking). It can be used remotely via a hosted FastMCP endpoint or run locally via a Python/uv entrypoint.
zerodust
**Exit a blockchain completely - transfer 100% of your native gas balance via EIP-7702**
zotero-mcp
A Model Context Protocol (MCP) server that exposes a small set of Zotero tools to AI assistants/clients: search for Zotero items, fetch item metadata, and retrieve full text (PDF/fulltext) for items. It can connect either to the Zotero desktop app’s local API or the Zotero Web API using an API key and library ID.
bitbucket-mcp
Provides a Model Context Protocol (MCP) server that lets AI assistants access Bitbucket (Cloud and Server) data and perform operations on repositories and pull requests (read and some write-style actions).
cmcp
cmcp is a Python CLI utility that acts as a 'curl for Model Context Protocol (MCP) servers', letting users list and call MCP prompts/resources/tools over multiple transports (STDIO for running local MCP servers, and HTTP/SSE for remote MCP servers). It also supports configuration via mcp.json for managing server commands/URLs and default headers/env vars.